# FalsiFind; full site content > FalsiFind delivers bank-grade deepfake detection for voice, image, and video, protecting financial institutions from synthetic media fraud. Generated at build time from the prerendered English pages. French and Arabic versions of every page exist at https://falsifind.com/fr/... and https://falsifind.com/ar/... --- # FalsiFind: Bank-Grade Deepfake Detection URL: https://falsifind.com/ Description: FalsiFind delivers bank-grade deepfake detection for voice, image, and video, protecting financial institutions from synthetic media fraud. Platform Solutions Why FalsiFind Resources en Contact Us Reality, Authenticated. AI-cloned voices bypass call center authentication. Synthetic documents defeat KYC checks. Deepfake videos authorize fraudulent wire transfers. FalsiFind detects synthetic media during the live interaction, before the fraud completes. # Reality, Authenticated. AI-cloned voices bypass call center authentication. Synthetic documents defeat KYC checks. Deepfake videos authorize fraudulent wire transfers. FalsiFind detects synthetic media during the live interaction, before the fraud completes. Get in Touch Keep Scrolling ## Your Authentication Is Already Compromised Voice biometrics, knowledge-based authentication, and document verification were designed before AI could clone a voice in 3 seconds. Attackers now bypass your controls with tools that cost less than the average fraud loss. ### Voice Cloning Attacks $15K+ average loss per successful attack Fraudsters clone customer voices from social media in seconds, then call your service center to reset credentials, add beneficiaries, and authorize transfers. All within a single phone call. Source: FBI IC3 Report 2024 ### Synthetic Identity Fraud $3.1B US banking losses annually AI-generated identity documents pass automated KYC, creating synthetic identities that build credit history for months before defaulting on large obligations. Often remaining undetected until charge-off. Source: Federal Reserve 2024 ### Deepfake Executive Fraud 3,000% increase since 2022 Fake CEO videos authorize urgent wire transfers to fraudulent accounts. Remote work normalized video approvals. Attackers now exploit this trust with deepfakes that fool treasury teams. Source: Onfido Identity Report 2024 ## Defensible decisions in real time . Our platform integrates directly into your existing workflows to provide real-time authentication and audit-ready logs. 01 ### Ingest API receives voice stream or image file 02 ### Analyze Multi-model deepfake detection engine runs 03 ### Verify Cross-reference with known synthetic patterns 04 ### Result JSON output with confidence score & metadata api.falsifind.com/v1/verify POST /v1/verify/audio // Response { "id": "req_8f92k..." , "status": "success" , "score": 0.998 , "verdict": "AUTHENTIC" , "metadata": { "codec": "pcm_s16le" , "artifacts": "none" } } ## Detection That Works at Machine Speed Analyze voice calls as they happen. Verify documents during onboarding. Authenticate video authorizations in real-time. Every detection generates cryptographic evidence for regulatory examination. Real-time Time to Detection Low-latency analysis during live calls and streaming media Multi-Model Ensemble Detection Specialized detectors cross-check every signal with calibrated confidence scores 30 Days Max Media Retention Media is used only for detection training, then deleted; zero-storage option available ## Purpose-Built for Financial Services When authentication fails, you lose money and face regulatory scrutiny. FalsiFind specializes in the fraud scenarios that threaten banks, FinTechs, and digital asset platforms. ### Banking & Financial Services Call center account takeover prevention KYC document verification Wire transfer authorization Learn More ### FinTech & Neobanks Instant identity verification Customer support authentication Partner/merchant onboarding Learn More ### Digital Assets & Cryptocurrency Withdrawal authorization Account recovery verification Exchange KYC compliance Learn More ### Fraud & Risk Operations Investigation-grade evidence SAR documentation support Cross-channel fraud correlation Learn More ## Enterprise-Ready Security Bank-grade security architecture built with the compliance aligned framework your risk team requires. SOC 2 Type II 85% Complete ISO 27001 75% Complete GDPR Compliant 90% Complete Zero-Storage Option End-to-End Encryption SAML SSO Integration Multi-Tenant Isolation Audit Log Export Role-Based Access API Rate Limiting Geographic Redundancy ## Ready to Protect Your Institution? Join leading financial institutions using FalsiFind to stop synthetic media fraud before it reaches your customers. Request a Demo View Platform Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. --- # Deepfake Detection for Financial Institutions | FalsiFind URL: https://falsifind.com/solutions Description: Industry-tuned deepfake detection and synthetic media authentication for banks, fintechs, digital asset firms, and fraud operations teams. Platform Solutions Why FalsiFind Resources en Contact Us # Solutions Built for Financial Services Purpose-built deepfake detection for the fraud scenarios that threaten banks, FinTechs, and digital asset platforms. Live Stream Analysis Calibrated Confidence ## Voice Analysis & Verification Real-time detection of cloned voices and synthetic speech in call center flows and verification steps. We analyze spectral artifacts and temporal inconsistencies invisible to the human ear. Live streaming API for real-time call authentication Detection of text-to-speech (TTS) and voice conversion Replay attack prevention Language agnostic analysis Learn More ## Forensic Image Analysis Automated inspection of ID documents, proof of address, and evidence files. We detect generative AI creation, pixel manipulation, and metadata tampering. Generative AI artifact detection (GANs/Diffusion models) Error Level Analysis (ELA) for manipulation Metadata consistency checks Steganography detection Learn More Manipulation Detected Metadata mismatch in layer 3 Coming Soon ## Video Verification The next frontier in synthetic media detection. Full-frame analysis for deepfake faces, lip-sync manipulation, and scene fabrication. ### Frame-by-Frame Temporal consistency analysis across video frames. ### Liveness V2 Advanced passive liveness detection for video KYC. ### Scene Integrity Detection of background manipulation and object insertion. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # FalsiFind Platform: Voice, Image & Video Deepfake Detection URL: https://falsifind.com/platform Description: A unified deepfake detection platform: voice clone defense, AI image forensics, video deepfake verification, and real-time synthetic media monitoring. Platform Solutions Why FalsiFind Resources en Contact Us # One Platform. Every Threat Vector. Unified deepfake detection across voice, image, and video, with real-time streaming, compliance-grade evidence, and API-first integration. ### Voice Detection Real-time detection of cloned voices and synthetic speech. ### Image Analysis Forensic inspection of documents and visual media. ### Video Verification Frame-by-frame analysis for deepfake detection. ### Real-Time Streaming Live analysis for call centers and video KYC. ### Evidence & Compliance Audit-ready reports and immutable evidence logs. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Industries We Protect from Deepfake Fraud | FalsiFind URL: https://falsifind.com/industries Description: Generative AI fraud prevention for banks, fintechs, digital asset platforms, and fraud teams operating in high-risk, high-trust environments. Platform Solutions Why FalsiFind Resources en Contact Us # Built for High-Risk Environments We support regulated institutions that cannot afford to be wrong. From global banks to crypto exchanges, FalsiFind delivers audit-ready authentication. ### Banks & Credit Unions Protect high-value wire transfers and customer support channels from voice cloning attacks. Ensure KYC document integrity during onboarding. Wire transfer verification Call center authentication KYC document forensics ### FinTechs & Neobanks Scale your fraud operations without adding friction. Automated detection for rapid onboarding and instant lending decisions. Automated onboarding protection Lending document verification Synthetic identity detection ### Digital Assets Secure high-stakes crypto transactions and account recovery flows against sophisticated social engineering and deepfakes. Account recovery protection Video KYC verification Whale transaction auth ### Fraud & Risk Ops Empower your analysts with forensic tools that provide definitive proof, not just probability scores. Reduce false positives and investigation time. Forensic investigation tools Audit-ready evidence logs Analyst workflow integration ## Compliance First We don't just stop fraud; we help you prove you stopped it. Our platform is designed for the scrutiny of auditors and regulators. View Compliance Docs ### Audit Trails Immutable logs of every analysis request and result. ### Data Sovereignty Regional processing options to meet GDPR and local laws. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Request a Deepfake Detection Demo | FalsiFind URL: https://falsifind.com/contact Description: Book a personalized demo of FalsiFind's deepfake detection platform. Talk to our team about voice, image, and video synthetic media defenses for your institution. Platform Solutions Why FalsiFind Resources en Contact Us # Get in Touch Ready to secure your organization against synthetic media threats? Our team is here to help you deploy defensible controls. ## Request a Demo Name * Email * Company Name Industry Select your industry Banking FinTech Crypto Exchange Investment Management Credit Union Payment Processing Regulatory/Compliance Other Financial Services Technology Other Subject * Message * Subscribe to product updates and security insights Please complete the verification challenge before submitting. SEND MESSAGE Protected by Cloudflare Turnstile Privacy & Terms of Use ### Contact Information Sales & Partnerships info@falsifind.com +1 (425) 660-6066 +1 (425) 660-6066 Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Detection for Banking & Financial Services | FalsiFind URL: https://falsifind.com/solutions/banking-financial-services Description: Enterprise-grade synthetic media authentication for traditional banks: voice clone protection, KYC document verification, and wire transfer authorization. Platform Solutions Why FalsiFind Resources en Contact Us # Banking & Financial Services Enterprise-grade deepfake detection for traditional banks, protecting call centers, KYC workflows, and wire transfer authorization. FalsiFind provides real-time detection with the cryptographic evidence trail your examination teams require. Documented controls for FFIEC authentication guidance, GLBA safeguards, and BSA/AML CIP requirements, ready for your next regulatory examination. Schedule a Demo View Platform Call Center Authentication Protected KYC Document Verification Protected Wire Transfer Authorization Protected Mobile Banking Sessions Protected Critical Threat Landscape ## The Threat Landscape Three deepfake attack vectors driving significant fraud losses in banking today. ### Voice-Cloned Account Takeover $15K+ average loss per successful ATO Attackers combine stolen PII with cloned customer voices to bypass call center authentication. Within a single call, they reset credentials, add beneficiaries, and authorize wire transfers. Voice biometrics fail because the deepfake matches the enrolled sample perfectly. Source: FBI IC3 Report 2024 ### Synthetic Identity Fraud $3.1B annual losses in US banking AI-manipulated identity documents pass automated KYC checks. Synthetic identities combine real and fake data to build credit histories over months before defaulting on large obligations. Often remaining undetected until charge-off. Source: Federal Reserve 2024 ### Video Deepfake Authorization 3,000% increase in deepfake attacks Deepfake videos authorize wire transfers and override security controls in commercial banking. The normalization of video-based authorization during remote work has created new attack surfaces that traditional controls weren't designed for. Source: Onfido Identity Report 2024 ## Detection Capabilities Three integrated detection capabilities addressing the primary deepfake attack vectors in banking. ### Voice Detection for Call Centers Real-time voice analysis during customer service calls detects synthetic speech patterns before account modifications complete. Unlike voice biometrics, we detect generation artifacts regardless of how well the fake matches the real person. Real-time Detection Time Multi-Model Approach Integrations Genesys NICE Five9 Twilio Learn More ### Image Analysis for KYC Forensic inspection of identity documents detects manipulation indicators including EXIF metadata inconsistencies, edge transition anomalies, and frequency domain artifacts that manual review typically misses. 100K+ Documents/Day Calibrated Confidence Integrations Jumio Onfido Socure Custom APIs Learn More ### Evidence & Compliance Cryptographic evidence bundles provide the audit trail regulatory examiners require. Each detection generates signed evidence containing timestamps, confidence scores, and tamper-proof signatures for examination documentation. 7 Years Retention JSON, PDF Export Formats Integrations SIEM Case Management Core Banking Learn More ## How It Works in Practice Three scenarios where FalsiFind stops deepfake fraud before losses occur. ### Voice-Based Account Takeover Prevention The Attack A fraudster calls your customer service line claiming to be a high-net-worth account holder. They've obtained PII from a data breach and used AI to clone the customer's voice from social media videos. They correctly answer security questions and their voice passes the voice biometric check. Without FalsiFind: Traditional controls fail because the fraudster has accurate account details and the cloned voice matches the enrolled biometric sample. The agent, seeing green verification lights, proceeds with the wire transfer request. With FalsiFind: FalsiFind analyzes the voice stream in real-time, detecting synthetic generation artifacts invisible to biometric systems. Within moments, the agent receives an alert indicating potential voice synthesis. The call is escalated to the fraud team, and the $450,000 wire transfer is prevented. ### KYC Document Verification The Attack An application arrives for a new business checking account. The submitted driver's license and utility bill appear genuine, with high resolution, correct formatting, and matching details. The applicant has a thin credit file but no negative history. Without FalsiFind: Manual reviewers approve the application because document quality is high and manipulation techniques are sophisticated. Automated systems pass the documents because pixel-level alterations aren't flagged by basic verification. With FalsiFind: FalsiFind's image analysis detects subtle inconsistencies: EXIF metadata shows the 'scanned' document was created in image editing software, compression artifacts don't match genuine camera sources, and facial proportions show generation model fingerprints. The application is routed to enhanced review, preventing synthetic identity onboarding. ### Wire Transfer Authorization The Attack The CFO of a commercial banking client sends a video message authorizing an urgent $2.3M wire transfer to a new international vendor. The video shows them at their home office, referencing the specific project and recipient. Without FalsiFind: Treasury operations verifies the video appears genuine and the CFO is recognizable. The project details check out. Following standard dual-authorization procedures, the second approver confirms and the wire initiates. With FalsiFind: FalsiFind's video analysis detects temporal inconsistencies in facial movements and audio-visual sync anomalies characteristic of deepfake generation. The wire is held pending phone verification with the CFO, who confirms they never sent the video. ## Enterprise Integration FalsiFind deploys between your customer-facing channels and core systems via REST APIs and webhooks. No agent desktop changes required. No customer experience disruption. Real-time streaming analysis for call centers via WebSocket Synchronous API calls for document verification workflows Webhook events for SIEM and case management integration SAML SSO with existing identity providers Architecture Overview Call Center / Digital Channel FalsiFind API Gateway Detection Engine Core Banking / SIEM ## Examination-Ready Compliance Architecture Privacy-by-design processing satisfies GLBA safeguards and GDPR data minimization. Cryptographic evidence bundles document your detection controls for FFIEC examinations. SOC 2 and ISO 27001 alignment accelerates vendor risk management approval. SOC 2 Type II 85% Complete ISO 27001 75% Complete GDPR Compliant 90% Complete Zero-Storage Option 30-Day Max Media Retention End-to-End Encryption Audit Log Export Multi-Tenant Isolation Geographic Redundancy Role-Based Access SIEM Integration ## Proven Results Financial institutions trust FalsiFind to protect high-value transactions and customer interactions. $4.2M Fraud Prevented Regional bank blocked voice-based ATO attempts over 12 months Multi-Model Ensemble Detection Specialized detectors across voice, image, and video in production Signed Evidence Bundles Cryptographic audit trail with minimal friction for customers ## Frequently Asked Questions What banks and financial institutions ask before deploying deepfake detection across customer channels. ### Where in a bank does FalsiFind typically deploy first? ### How does this fit alongside our existing fraud and identity stack? ### Will this satisfy regulators asking about AI-enabled fraud risk? ### How is customer data handled and where does it live? ### What kind of fraud-loss reduction do banks typically see? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Voice Cloning Account Takeover (ATO) Synthetic Identity Fraud Deepfake Vishing Authorized Push Payment (APP) Fraud ## Ready to Protect Your Institution ? Join forward-thinking banks already using FalsiFind to prevent deepfake-enabled fraud and maintain regulatory compliance. Schedule a Demo See FalsiFind in action with your use cases Banking White Paper Deep dive into financial services security Explore the Platform Detection capabilities across voice, image, and video Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Detection for FinTech & Neobanks | FalsiFind URL: https://falsifind.com/solutions/fintech-neobanks Description: Synthetic media authentication for digital-first banks: instant identity verification, mobile KYC, and account opening fraud prevention. Platform Solutions Why FalsiFind Resources en Contact Us # FinTech & Neobanks Deepfake and synthetic media defense for digital onboarding, mobile-first KYC, and high-velocity account opening flows. FalsiFind integrates with your existing verification stack via API, adding deepfake detection without disrupting your onboarding funnel. Evidence bundles satisfy partner bank due diligence and regulatory examinations. Get API Keys api-integration.ts import { FalsiFind } from '@falsifind/sdk'; const client = new FalsiFind({ apiKey: process.env.FALSIFIND_KEY }); // Verify document during onboarding const result = await client.verify({ type: 'document', image: uploadedId, checks: ['manipulation', 'synthetic'] }); if (result.isSynthetic) { flagForReview(userId); } Growth vs. Security Trade-offs ## The FinTech Threat Landscape Three fraud challenges unique to high-growth digital financial services. ### Instant Account Opening Fraud 47% of fraud occurs within 24 hours AI-generated identity documents pass automated verification during instant onboarding. Fraudsters exploit fast approval flows. The same speed that delights legitimate customers lets synthetic identities slip through before manual review triggers. Source: Javelin Strategy 2024 ### Social Engineering on Support Teams 340% increase in voice cloning attacks Lean customer support teams face sophisticated voice cloning attacks. With limited fraud resources, attackers target under-staffed channels where agents lack specialized training to detect synthetic speech patterns. Source: Pindrop Security Report 2024 ### Synthetic Identity at Scale $2.5B projected losses by 2025 Automated onboarding designed for growth becomes a vector for synthetic identity fraud. Fraudsters build credit over months using AI-manipulated documents, then default on large credit lines. Partner banks are left demanding answers. Source: Aite-Novarica Group 2024 ## Detection Capabilities API-first capabilities built for FinTech integration requirements. ### API-First Architecture RESTful APIs designed for developer velocity. Integrate deepfake detection into your onboarding flow with a single endpoint call. SDKs available for Node.js, Python, Go, and mobile platforms. One API Call Integration 99.99% Uptime SLA POST /v1/verify/document Content-Type: multipart/form-data { "image": "", "checks": ["manipulation", "synthetic"] } Integrations REST API GraphQL WebSocket gRPC Learn More ### Real-Time Streaming WebSocket streams for voice verification during support calls. Detect synthetic speech in real time, fast enough to alert agents before account changes complete, without adding friction to legitimate customers. Real-time Detection Latency 10K+ Concurrent Streams ws://api.falsifind.com/v1/stream/voice // Real-time voice analysis socket.on('detection', (result) => { if (result.synthetic > 0.9) escalateToFraudTeam(callId); }); Integrations Twilio Vonage Plivo Custom VoIP Learn More ### Webhook Automation Event-driven architecture integrates with your existing workflows. Automatic case creation, Slack alerts, SIEM forwarding. Configure once and let your systems respond to detections without manual intervention. 99.9% Delivery Rate Automatic Retry Logic // Webhook payload example { "event": "detection.synthetic", "confidence": 0.97, "session_id": "usr_abc123", "timestamp": "2024-01-15T10:30:00Z" } Integrations Slack PagerDuty Jira Segment Learn More ## How It Works in Practice Three FinTech scenarios where FalsiFind stops fraud without slowing growth. ### Instant Account Opening with Fraud Prevention The Attack A user completes your mobile onboarding in under 3 minutes, scanning their driver's license, taking a selfie, and submitting for instant approval. The identity documents appear genuine and the face matches. Behind the scenes, AI-generated documents are being used to open accounts at scale. Without FalsiFind: Automated verification passes because the documents are high-quality fakes. Manual review backlogs mean fraud isn't caught until charge-offs occur weeks later. Meanwhile, conversion rates suffer if you add friction for legitimate users. With FalsiFind: FalsiFind's document analysis runs in parallel with your existing verification, adding no user-visible step to the flow. It detects generation artifacts in the submitted ID photo. The account is flagged for enhanced review without blocking legitimate applicants. ### Customer Support Authentication The Attack Your support team handles 500+ tickets daily with a lean staff. A caller claims they've lost access to their account and needs credential reset. They pass knowledge-based authentication, correctly providing the last four digits of SSN, transaction history, and device information obtained from a data breach. Without FalsiFind: With limited fraud resources, agents rely on KBA and caller ID. The cloned voice sounds natural, and all verification questions are answered correctly. The credential reset completes before anyone realizes the legitimate customer never made the call. With FalsiFind: FalsiFind's voice streaming API analyzes the call in real-time via your VoIP integration. Within moments, the agent sees a red indicator showing high synthetic speech probability. The reset is paused pending secondary verification via the customer's registered email. ### Partner Bank Compliance Documentation The Attack Your bank partner requires quarterly fraud reports and evidence of robust controls. A regulatory examination is scheduled, and examiners want to see how your automated systems detect and prevent identity fraud. Generic verification logs don't satisfy their questions about deepfake-specific controls. Without FalsiFind: Scrambling to document fraud prevention measures, your team realizes automated verification logs don't capture whether documents were AI-generated. You can show approval/rejection rates, but can't demonstrate specific detection of synthetic media. With FalsiFind: FalsiFind generates cryptographically signed evidence bundles for every detection. Export JSON or PDF reports showing detection confidence, analysis methodology, and audit trails. Partner banks receive the documentation they need, and examination preparation becomes routine. ## Built for FinTech Integration FalsiFind's API-first design means minimal integration work for fast-moving engineering teams. REST API built for high-velocity onboarding flows WebSocket streaming for real-time voice analysis Webhook events integrate with existing alert systems SDKs for Node.js, Python, Go, and mobile Architecture Overview Mobile App / Web SDK FalsiFind API Webhooks & Events Your Backend / SIEM ## Examination-Ready Compliance Partner bank due diligence, regulatory examination, and compliance documentation requirements are built into FalsiFind from day one. SOC 2 Type II 85% Complete ISO 27001 75% Complete GDPR Compliant 90% Complete Zero-Storage Option 30-Day Max Media Retention End-to-End Encryption Audit Log Export Multi-Tenant Isolation Geographic Redundancy Role-Based Access SIEM Integration ## Growth + Security Metrics FinTechs using FalsiFind maintain conversion velocity while dramatically reducing fraud losses. 0.2% Conversion Impact Minimal friction on legitimate user onboarding flow $1.8M Fraud Prevented Average annual savings for Series B+ FinTechs 0–100 Calibrated Risk Scores Route borderline cases to review, not decline 100% Partner Audits Passed Documentation ready for bank partners ## Frequently Asked Questions What fintechs and neobanks ask before deploying deepfake detection. ### How does FalsiFind fit into a high-velocity onboarding flow? ### We already use an IDV vendor. Does FalsiFind replace or complement it? ### How do we handle false positives without hurting conversion? ### What does partner bank due diligence typically require? ### Can we run FalsiFind in our own cloud environment? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary KYC Deepfake Fraud Synthetic Identity Fraud Injection Attack Liveness Detection ## Ready to Protect Your Growth ? Add deepfake detection to your onboarding and support flows without sacrificing the speed your customers expect. Schedule a Demo See FalsiFind in action with your use cases FinTech White Paper Deepfake detection for digital-first banks Explore the API Integration documentation and SDKs Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Detection for Digital Assets & Cryptocurrency | FalsiFind URL: https://falsifind.com/solutions/digital-assets-cryptocurrency Description: Synthetic media authentication for crypto exchanges, custodians, and digital asset platforms. Platform Solutions Why FalsiFind Resources en Contact Us # Digital Assets & Cryptocurrency Synthetic media authentication for crypto exchanges, custodians, and digital asset platforms targeted by deepfake-driven fraud. FalsiFind protects irreversible transactions with real-time detection across voice, image, and video. 24/7 coverage for global operations. Cryptographic evidence for MiCA, Travel Rule, and the banking relationships your fiat rails depend on. Schedule a Demo View Platform Withdrawal Authorization 24/7 Protected KYC Document Verification Forensic Protected Support Call Authentication Real-time Protected Cold Wallet Approvals Multi-layer Protected Unique Crypto Vulnerabilities ## The Crypto Threat Landscape Three deepfake fraud challenges unique to digital asset platforms. ### Irreversible Transaction Fraud $3.8B lost to crypto fraud in 2023 Unlike traditional banking, cryptocurrency transactions cannot be reversed. Deepfake-enabled social engineering convinces support teams to authorize withdrawals or whitelist addresses. Funds are gone within minutes, with no chargeback mechanism. Source: FBI IC3 Cryptocurrency Report 2024 ### 24/7 Attack Surface 168 hours per week of exposure Crypto markets never close. Attackers exploit overnight and weekend shifts when senior staff are unavailable. AI-cloned executive voices authorize emergency withdrawals at 3am, when verification procedures are harder to execute. Source: Chainalysis Crypto Crime Report 2024 ### Evolving Regulatory Complexity 50+ jurisdictions with new crypto rules MiCA, Travel Rule, and jurisdiction-specific KYC requirements demand robust identity verification. Synthetic identities pass automated checks, creating compliance exposure when regulators examine onboarding records. Source: FATF Virtual Assets Guidance 2024 ## Detection Capabilities Purpose-built capabilities for the unique risks of digital asset platforms. ### Crypto KYC Verification Detect AI-manipulated identity documents during onboarding. Our forensic analysis identifies generation artifacts in selfies, ID photos, and proof-of-address documents that standard verification misses. Forensic Analysis Multi-Model Approach Integrations Jumio Sumsub Onfido Custom API Learn More ### Support Call Authentication Real-time voice analysis during high-risk support calls. Detect synthetic speech before withdrawal authorizations, address whitelisting, or security setting changes complete. Low Voice Latency Yes 24/7 Coverage Integrations Zendesk Intercom Twilio Custom VoIP Learn More ### Regulatory Evidence Cryptographically signed evidence bundles for regulatory examinations. Document your synthetic media controls for MiCA compliance, Travel Rule audits, and jurisdiction-specific requirements. JSON, PDF Export Formats 7+ Years Retention Integrations Chainalysis Elliptic SIEM Case Management Learn More ## How It Works in Practice Three scenarios where FalsiFind protects irreversible transactions. ### Whale Account Takeover Prevention The Attack A caller contacts your VIP support line claiming to be a high-net-worth customer with $2.3M in holdings. They've researched the account holder extensively and use AI to clone their voice from a podcast appearance. They request an emergency withdrawal to a new address, citing security concerns. Without FalsiFind: The cloned voice passes standard verification. The caller correctly answers security questions using information from public sources and previous data breaches. The urgent request and VIP status pressure the agent to expedite the withdrawal. With FalsiFind: FalsiFind's voice streaming detects synthetic speech patterns in real time. The agent receives an immediate alert indicating high deepfake probability. The withdrawal is held pending video verification with the actual customer, who confirms they never made the call. The $2.3M remains secure. ### Synthetic Identity at Onboarding The Attack During a bull market, your exchange sees 10x normal onboarding volume. Applications pour in with high-quality identity documents and matching selfies. Many are synthetic identities designed to pass automated verification and accumulate funds for money laundering. Without FalsiFind: Automated KYC systems approve applications based on document quality and face matching. The synthetic identities are designed specifically to pass these checks. Manual review backlogs mean suspicious accounts aren't flagged until regulatory examination. With FalsiFind: FalsiFind's document analysis runs on every submission, detecting generation fingerprints in both the ID photo and the selfie. Synthetic identity applications are automatically flagged for enhanced review, maintaining onboarding speed for legitimate users while blocking manufactured identities. ### Executive Authorization Deepfake The Attack Your cold wallet requires multi-sig authorization including an executive approval. At 2am local time, the on-call security team receives a video message from the CFO authorizing an emergency transfer to cover a margin call. The video shows them in their home office, referencing specific internal details. Without FalsiFind: The overnight team sees a convincing video from an executive they recognize. The referenced details check out. Standard callback procedures fail because the CFO's phone goes to voicemail at 2am. Pressure to act quickly leads to authorization. With FalsiFind: FalsiFind's video analysis detects temporal inconsistencies and audio-visual sync anomalies characteristic of deepfake generation. The transfer is held pending morning verification. When the CFO arrives, they confirm the video was fake. The $8.5M cold wallet transfer is prevented. ## Built for 24/7 Operations FalsiFind's always-on architecture matches the non-stop nature of crypto markets. Real-time voice analysis across 24/7 support operations Document analysis for high-volume onboarding Video analysis for executive authorization workflows Evidence bundles for MiCA and Travel Rule compliance Architecture Overview Exchange / Wallet App FalsiFind API Detection Engine Compliance / SIEM ## Regulatory Compliance for Crypto Cryptographic evidence bundles support MiCA, Travel Rule, and banking relationship requirements. SOC 2 Type II 85% Complete ISO 27001 75% Complete GDPR Compliant 90% Complete Zero-Storage Option 30-Day Max Media Retention End-to-End Encryption Audit Log Export Multi-Tenant Isolation Geographic Redundancy Role-Based Access SIEM Integration ## Protecting Digital Asset Platforms Exchanges and custodians trust FalsiFind to protect irreversible transactions and customer accounts. $12.4M Fraud Prevented Blocked deepfake-enabled withdrawal attempts 3 Detection Channels Voice, image, and video covered by a multi-model ensemble 24/7 Coverage Multi-region deployment for continuous protection SHA-256 Signed Evidence Cryptographically signed bundle for every detection ## Frequently Asked Questions What crypto exchanges and digital asset platforms ask before deploying deepfake detection. ### How does FalsiFind handle 24/7 operations across time zones? ### Can it protect against the specific types of fraud targeting crypto platforms? ### How does this help with MiCA and Travel Rule compliance? ### What about cold wallet authorization security? ### How quickly can we integrate FalsiFind? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Account Takeover (ATO) Executive Impersonation (CEO Fraud) KYC Deepfake Fraud Voice Cloning ## Ready to Protect Irreversible Transactions ? Protect your exchange and customers with 24/7 deepfake detection across voice, image, and video. Schedule a Demo See FalsiFind in action with your use cases Crypto White Paper Deepfake fraud in digital assets Explore the Platform Detection capabilities across voice, image, and video Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Detection for Fraud & Risk Operations | FalsiFind URL: https://falsifind.com/solutions/fraud-risk-operations Description: Investigation-grade synthetic media analysis for fraud and risk operations teams, with cryptographic evidence bundles and audit-ready reporting. Platform Solutions Why FalsiFind Resources en Contact Us # Fraud & Risk Operations Investigation-grade tools for fraud and risk operations teams, with cryptographic evidence bundles and audit-ready reporting for SAR filings. FalsiFind integrates with your existing fraud stack as an additional risk signal. Webhook-driven automation routes detections directly to your case management and SIEM systems, with cryptographic evidence bundles ready for examinations and litigation. Schedule a Demo View Platform Fraud Operations Dashboard Alerts Today 2,847 -62% manual review Deepfakes Detected 47 Auto-escalated Avg Resolution Time 4.2 min -73% vs baseline Evidence Bundles Signed Examination-ready Universal Fraud Operations Challenges ## The Fraud Operations Challenge Three structural challenges making deepfake fraud difficult to catch with existing tools. ### Alert Fatigue & False Positives 90%+ of fraud alerts are false positives Rule-based fraud systems generate excessive false alarms. Analysts spend most of their time investigating false positives, leaving less capacity for complex cases that require human judgment. Burnout and analyst turnover further strain already limited resources. Source: Gartner Fraud Detection Report 2024 ### Staffing & Scaling Challenges 2.5x faster fraud growth than headcount Fraud volume grows faster than headcount budgets allow. Finding and retaining skilled fraud analysts is increasingly difficult across industries. Manual review bottlenecks create delays that sophisticated fraudsters exploit before detection. Source: Association of Certified Fraud Examiners 2024 ### Cross-Channel Attack Complexity 73% of fraud spans multiple channels Fraudsters combine attacks across voice, image, video, and digital channels. An account takeover might start with phishing, progress to a deepfake voice call, and culminate in mobile app transactions. Single-channel detection misses these patterns. Source: LexisNexis Risk Solutions 2024 ## Detection Capabilities Three capabilities built specifically for fraud operations teams. ### Multi-Modal Detection Unified analysis across voice, image, and video channels. Detect deepfakes regardless of which channel fraudsters choose to attack, providing complete coverage for your fraud operations. 3 Channels Covered Multi-Model Approach Integrations Call Centers KYC Systems Video Auth Mobile Apps Learn More ### Forensic Evidence Bundles Cryptographic evidence for every detection event. Objective technical analysis supports fraud determinations, case escalations, and regulatory examinations. Replaces subjective analyst opinions with documented proof. JSON, PDF Evidence Types 7+ Years Retention Integrations Case Management SIEM Compliance Legal Learn More ### Automated Workflows Webhook-driven automation routes high-risk cases to senior analysts while clearing low-risk alerts automatically. Reduce manual review volume while maintaining or improving detection rates. Up to 60% Auto-Resolution 4hrs/day Time Saved Integrations Slack PagerDuty Jira ServiceNow Learn More ## How It Works in Practice Three fraud operations scenarios where FalsiFind improves detection and reduces analyst workload. ### High-Volume Alert Triage The Challenge Your fraud team receives 2,000+ alerts daily from rule-based systems. Most are false positives triggered by legitimate customer behavior. Analysts spend 6+ hours daily reviewing alerts, with limited time for complex investigations that require human judgment. Without FalsiFind: Without objective risk scoring, analysts must review each alert individually. High-risk alerts sometimes wait hours in queue while analysts clear false positives. With FalsiFind: FalsiFind provides objective synthetic media detection that filters deepfake-related alerts from legitimate activity. Automated workflows clear low-risk cases immediately while routing confirmed synthetic media detections to senior analysts. Alert volume decreases 60%. ### Cross-Channel Fraud Investigation The Challenge A fraud ring targets your organization using coordinated attacks across channels. They submit AI-manipulated documents through your KYC system, then use cloned voices to call customer support and complete account modifications. Individual channel monitoring flags suspicious activity but doesn't connect the patterns. Without FalsiFind: Separate teams monitor different channels without unified visibility. The KYC team sees document manipulation. The call center sees voice anomalies. Neither connects the dots to identify the coordinated attack. With FalsiFind: FalsiFind's unified detection across voice, image, and video creates correlated evidence linking related attacks. When document analysis flags synthetic manipulation and voice detection flags the subsequent support call, the connection is immediate. The fraud ring is identified within hours, not weeks. ### Regulatory Examination Preparation The Challenge Your organization faces a regulatory examination with specific focus on authentication controls and fraud detection capabilities. Examiners want documentation demonstrating adequate controls and consistent processes. Without FalsiFind: Scrambling to compile documentation, your team realizes fraud systems don't create the evidence examiners need. You can show detection rates and alert volumes, but can't demonstrate the specific analysis behind individual decisions. With FalsiFind: FalsiFind's cryptographic evidence bundles provide the audit trail examiners require. Each detection generates signed documentation containing timestamps, confidence scores, analysis methodology, and tamper-proof signatures. Examination preparation becomes routine report generation. ## Integrates with Your Fraud Stack FalsiFind connects to your existing case management, SIEM, and fraud analytics platforms via webhooks and REST APIs. Webhook events route detections to case management REST API for synchronous risk scoring SIEM integration via structured JSON logs SAML SSO with your identity provider Architecture Overview Fraud Detection Systems FalsiFind Analysis Risk Scoring Case Management / SIEM ## Evidence Ready for Examination Cryptographic evidence bundles make regulatory examination preparation routine rather than crisis mode. SOC 2 Type II 85% Complete ISO 27001 75% Complete GDPR Compliant 90% Complete Zero-Storage Option 30-Day Max Media Retention End-to-End Encryption Audit Log Export Multi-Tenant Isolation Geographic Redundancy Role-Based Access SIEM Integration ## Impact on Fraud Operations Fraud teams using FalsiFind report significant improvements in efficiency, accuracy, and analyst satisfaction. 62% Less Manual Review Automated workflows clear low-risk alerts 73% Faster Resolution Average case resolution time improvement 0–100 Calibrated Risk Scores Objective scoring reduces alert fatigue 100% Examination Ready Cryptographic evidence for audits ## Frequently Asked Questions What fraud and risk operations teams ask before deploying deepfake detection. ### How does FalsiFind fit into our existing fraud analytics platform? ### Will it reduce the volume of alerts our analysts have to review? ### How do evidence bundles support SAR filings? ### Can FalsiFind detect coordinated fraud ring activity? ### What does deployment look like for a fraud operations team? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Deepfake Detection Detection Confidence Score Media Forensics Authorized Push Payment (APP) Fraud ## Ready to Strengthen Fraud Operations ? Give your fraud team objective synthetic media detection with the evidence trail regulators require. Schedule a Demo See FalsiFind in action with your use cases Fraud Ops White Paper Deepfake detection for risk teams Explore the Platform Detection capabilities across voice, image, and video Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Voice Deepfake Detection | FalsiFind Platform URL: https://falsifind.com/platform/voice-detection Description: Real-time detection of AI-cloned voices and synthetic speech for call centers, voice authentication, and fraud prevention. Platform Solutions Why FalsiFind Resources en Contact Us # Voice Detection Real-time identification of AI-cloned voices, synthetic speech, and audio manipulation, protecting call centers and voice authentication systems. Unlike voice biometrics that compare samples to enrolled recordings, FalsiFind detects generation artifacts regardless of how well the synthetic voice matches the real person. Request Demo voice-stream.ts import { FalsiFind } from '@falsifind/sdk'; const stream = new FalsiFind.VoiceStream({ apiKey: process.env.FALSIFIND_KEY, sampleRate: 16000, codec: 'opus' }); // Real-time voice analysis stream.on('detection', (result) => { if (result.synthetic > 0.9) { console.log('Synthetic voice detected'); alertFraudTeam(result.callId); } }); // Stream audio from call audioSource.pipe(stream); ## How Voice Detection Works Advanced AI technology analyzes multiple acoustic dimensions to distinguish human speech from synthetic audio. ### Acoustic Feature Analysis Multi-model approach analyzes acoustic features that indicate synthetic generation. Spectral patterns, temporal consistency, and micro-variations that distinguish human speech from AI-generated audio. ### Real-Time Streaming WebSocket-based streaming analyzes audio continuously during live calls. Detection alerts fire with low latency, enabling intervention before account modifications complete. ### Generation-Agnostic Detection Detects synthetic speech regardless of the AI model used to generate it. Our approach identifies generation artifacts rather than fingerprinting specific tools. ### Noise-Robust Processing Advanced signal processing handles real-world telephony conditions including background noise, compression artifacts, and variable audio quality. ## Technical Specifications Enterprise-grade performance designed for production telephony environments. ### Detection Performance Time-to-Useful-Delta Real-time Low-latency detection during active calls Detection Approach Multi-Model Ensemble of specialized voice detectors Confidence Scores Calibrated Uncertain calls routed to review, not guessed ### Audio Support Sample Rates 8-48kHz Telephony through studio quality Codecs G.711, Opus, PCM Standard telephony and VoIP formats Channels Mono/Stereo Single and dual-channel analysis ### Integration Connection WebSocket Streaming audio for real-time analysis Batch API REST Async analysis for recorded audio Webhooks Events Real-time detection alerts to your systems ## Integration Points Voice Detection integrates with your existing call center infrastructure via WebSocket streams and REST APIs. No changes to agent desktops or IVR flows required. WebSocket Streaming wss://api.falsifind.com/v1/voice/stream Real-time audio analysis during live calls REST API POST /v1/voice/analyze Batch analysis for recorded audio files Webhook Events voice.detection.synthetic Real-time alerts to your systems Supported Platforms Genesys Cloud Contact Center NICE inContact Contact Center Five9 Contact Center Twilio Voice VoIP/CPaaS Vonage VoIP/CPaaS Amazon Connect Cloud Contact Center Custom integrations available for proprietary systems ## Use Cases Across Industries Voice Detection applies across financial services contexts with industry-specific implementations. Banking ### Call Center Authentication Detect voice-cloned account takeover attempts during customer service calls. Alert agents to synthetic speech before credential resets or fund transfers complete. FinTech ### Support Team Protection Protect lean support teams from social engineering attacks. Provide objective risk scoring that supplements limited fraud training resources. Crypto ### High-Value Authorization Verify voice authorization for withdrawal requests and security setting changes. Critical protection for irreversible cryptocurrency transactions. ## Technical Documentation Everything you need to integrate Voice Detection into your systems. API Reference Complete endpoint documentation Integration Guide Step-by-step setup instructions SDK Documentation Node.js, Python, Go SDKs Audio Format Guide Codec and sample rate specs ## Frequently Asked Questions Common questions from fraud, security, and contact-center teams evaluating voice deepfake detection. ### How is voice deepfake detection different from voice biometrics? ### Does it work in real time on live phone calls? ### Which audio formats and sample rates are supported? ### Can it detect voice clones from tools we have never seen before? ### How do you handle false positives on real callers? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Voice Cloning Audio Deepfake Detection Deepfake Vishing Call Center Authentication ## Ready to Detect Synthetic Voices ? Protect your call center from voice cloning attacks with real-time, low-latency detection. Schedule a Demo Explore Real-Time Streaming Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # AI Image Forensics & Deepfake Detection | FalsiFind URL: https://falsifind.com/platform/image-analysis Description: Forensic analysis of identity documents, profile photos, and visual media to detect AI-generated content and synthetic identities. Platform Solutions Why FalsiFind Resources en Contact Us # Image Analysis Forensic detection of AI-generated images, manipulated identity documents, and synthetic visual media. Our multi-model approach examines frequency domains, compression artifacts, and generation fingerprints. Identifies synthetic content regardless of the AI tool used to create it. Request Demo document-verify.ts import { FalsiFind } from '@falsifind/sdk'; const client = new FalsiFind({ apiKey: process.env.FALSIFIND_KEY }); // Analyze uploaded document const result = await client.image.analyze({ image: documentBuffer, checks: [ 'manipulation', 'synthetic_face', 'document_authenticity' ] }); if (result.isSynthetic || result.isManipulated) { flagForManualReview(applicationId); } ## How Image Analysis Works Advanced forensic techniques examine multiple image dimensions to detect synthetic content and manipulation. ### Generation Artifact Detection Identifies fingerprints left by AI image generators. Subtle patterns in frequency domains, compression artifacts, and pixel-level inconsistencies invisible to human reviewers. ### Manipulation Analysis Detects splicing, cloning, and content-aware fill operations. Analyzes edge transitions, lighting consistency, and EXIF metadata to identify tampered regions. ### Document Forensics Specialized analysis for identity documents including driver's licenses, passports, and proof-of-address documents. Validates document structure and security features. ### Face Authenticity Detects AI-generated faces in selfies and ID photos. Identifies GAN artifacts, StyleGAN fingerprints, and synthetic face characteristics. ## Technical Specifications Production-ready image analysis optimized for high-volume document verification. ### Detection Performance Analysis Depth Forensic Frequency, compression, and artifact checks Detection Approach Multi-Model Ensemble spanning GAN and diffusion artifacts Confidence Scores Calibrated Degraded inputs flagged as uncertain, not guessed ### Image Support Formats JPEG, PNG, WebP, HEIC Common document formats Resolution Up to 50MP High-resolution document scans File Size Up to 20MB Per image upload ### Integration Primary API REST Synchronous analysis Batch Processing Async High-volume document queues Evidence Export Signed Cryptographic evidence bundle per analysis ## Integration Points Image Analysis integrates with existing identity verification platforms or connects directly via REST API for custom implementations. Document Analysis POST /v1/image/analyze Synchronous document verification Batch Processing POST /v1/image/batch Async analysis for document queues Evidence Export GET /v1/evidence/{id} Cryptographic evidence bundles Supported Platforms Jumio Identity Verification Onfido Identity Verification Sumsub Identity Verification Socure Identity Platform Alloy Identity Orchestration Custom KYC Direct Integration Works with any KYC platform via REST API ## Use Cases Across Industries Image Analysis protects identity verification across financial services contexts. Banking ### KYC Document Verification Detect manipulated identity documents during account opening. Prevent synthetic identity fraud by identifying AI-generated or altered ID photos. FinTech ### Instant Account Opening Add deepfake detection to automated verification flows without increasing latency. Maintain conversion rates while blocking synthetic applications. Crypto ### Exchange Onboarding Verify identity documents for regulatory compliance. Generate evidence bundles for MiCA and Travel Rule documentation requirements. ## Technical Documentation Resources for integrating Image Analysis into your verification workflows. API Reference Complete endpoint documentation Integration Guide KYC platform integration SDK Documentation Node.js, Python, Go SDKs Image Format Guide Supported formats and sizes ## Frequently Asked Questions What buyers ask before rolling out image deepfake and document tampering checks. ### What kinds of image manipulation does FalsiFind detect? ### Does it work on JPEGs that have been re-saved or screenshotted? ### Can it verify identity documents like passports and driver's licenses? ### How is this different from C2PA or content credential checks? ### How do you report accuracy and false positives? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Face Swap Synthetic Identity Fraud KYC Deepfake Fraud Media Forensics ## Ready to Detect Synthetic Documents ? Protect your KYC processes from AI-generated identities with forensic-grade image analysis. Schedule a Demo Explore Video Verification Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Video Deepfake Detection | FalsiFind Platform URL: https://falsifind.com/platform/video-verification Description: Frame-by-frame deepfake video analysis for video KYC, executive authorization, and remote identity verification. Platform Solutions Why FalsiFind Resources en Contact Us # Video Verification Frame-level deepfake analysis for video KYC, authorization workflows, and real-time video call monitoring. Our multi-model approach examines temporal consistency, facial artifacts, and audio-visual synchronization. Identifies synthetic content that fools human reviewers. Request Demo video-verify.ts import { FalsiFind } from '@falsifind/sdk'; const client = new FalsiFind({ apiKey: process.env.FALSIFIND_KEY }); // Analyze authorization video const result = await client.video.analyze({ video: authorizationVideo, checks: [ 'face_swap', 'lip_sync', 'temporal_consistency' ] }); if (result.isDeepfake) { blockTransaction(transferId); alertSecurityTeam(result.evidence); } ## How Video Verification Works Multi-signal analysis examines facial consistency, motion patterns, and audio-visual synchronization to identify deepfake content. ### Face Swap Detection Identifies face replacement and face swapping artifacts. Analyzes facial boundary consistency, skin texture continuity, and blending artifacts at face edges. ### Lip-Sync Analysis Detects audio-visual synchronization anomalies. Identifies lip movements that don't match speech patterns. A common artifact in dubbed deepfakes. ### Temporal Consistency Frame-by-frame analysis detects temporal artifacts. Identifies flickering, inconsistent lighting, and motion blur anomalies across video sequences. ### Generation Fingerprinting Recognizes artifacts from major deepfake generation methods. Detects patterns left by face-swapping networks, full-face synthesis, and puppet-master techniques. ## Technical Specifications High-accuracy video analysis designed for authorization and identity workflows. ### Detection Performance Analysis Signals Multi-Signal Facial, temporal, and audio-visual sync checks Detection Approach Multi-Model Ensemble across deepfake generation methods Confidence Scores Calibrated Quality indicators flag degraded footage as uncertain ### Video Support Formats MP4, WebM, MOV Common video containers Resolution Up to 4K Standard to ultra-high definition Duration Up to 10 min Per analysis request ### Integration Primary API REST Async video analysis Streaming WebSocket Real-time frame analysis Webhook Events Completion notifications ## Integration Points Video Verification integrates with video conferencing platforms, custom VMS systems, and direct REST API uploads for batch processing. Video Analysis POST /v1/video/analyze Async video analysis with webhook callback Real-Time Streaming wss://api.falsifind.com/v1/video/stream Live video analysis during calls Frame Analysis POST /v1/video/frame Individual frame verification Supported Platforms Zoom Video Conference Microsoft Teams Video Conference Google Meet Video Conference Custom VMS Video Management WebRTC Real-time Video REST Upload Batch Processing WebRTC integration for custom implementations ## Use Cases Across Industries Video Verification protects authorization and identity workflows across financial services. Banking ### Wire Transfer Authorization Verify video-based authorization for high-value transactions. Detect deepfake executive impersonation before wire transfers complete. FinTech ### Video KYC Verification Authenticate live video verification sessions. Ensure the person on camera is real, not a deepfake replay or face-swapped stream. Crypto ### Cold Wallet Authorization Validate video authorization for multi-sig cold wallet transactions. Critical protection for irreversible high-value transfers. ## Technical Documentation Resources for integrating Video Verification into your workflows. API Reference Complete endpoint documentation Integration Guide Video platform integration SDK Documentation Node.js, Python, Go SDKs Video Format Guide Supported formats and codecs ## Frequently Asked Questions Common questions about video deepfake detection, liveness, and KYC video review. ### What deepfake techniques does video detection cover? ### Can it analyze live video calls in real time? ### What resolution and format is required? ### How does it handle re-encoded or compressed video? ### Is the audio also analyzed in video submissions? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Deepfake Face Swap Liveness Detection Injection Attack Executive Impersonation (CEO Fraud) ## Ready to Detect Deepfake Video ? Protect video authorization and KYC sessions with multi-signal deepfake analysis. Schedule a Demo Explore Real-Time Streaming Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Real-Time Streaming Deepfake Detection | FalsiFind URL: https://falsifind.com/platform/real-time-streaming Description: Live synthetic media detection for call centers, video KYC, and streaming authentication channels. Platform Solutions Why FalsiFind Resources en Contact Us # Real-Time Streaming Deepfake detection on live audio and video streams, with analysis that runs during the interaction instead of after it ends. WebSocket-based streaming integrates with call center platforms, video conferencing, and custom VoIP systems for continuous deepfake detection during live interactions. Request Demo stream-integration.ts import { FalsiFind } from '@falsifind/sdk'; const stream = new FalsiFind.Stream({ apiKey: process.env.FALSIFIND_KEY, type: 'voice', onDetection: (result) => { if (result.confidence > 0.9) { // Alert agent in real-time agentUI.showWarning({ message: 'Synthetic voice detected', confidence: result.confidence, callId: result.sessionId }); } } }); // Connect to call audio callSession.audioStream.pipe(stream); ## Streaming Capabilities Real-time analysis for both voice and video streams with specialized detection for each media type. ### Voice Streaming Real-time voice analysis during customer service calls, support interactions, and authentication flows. wss://api.falsifind.com/v1/voice/stream Real-time detection Opus/G.711 codec Call center integration ### Video Streaming Live video analysis during video KYC, video calls, and real-time verification sessions. wss://api.falsifind.com/v1/video/stream Frame-by-frame analysis WebRTC support 1080p resolution ## How Streaming Detection Works WebSocket connections deliver continuous analysis while live audio and video streams are still in progress. ### In-Call Detection Streaming analysis flags synthetic media while the interaction is still live. Alert agents before fraudulent account modifications or transactions complete. ### WebSocket Streaming Bidirectional WebSocket connections support continuous media streaming with real-time detection events. Minimal integration overhead for existing systems. ### Continuous Analysis Stream audio or video for ongoing analysis throughout calls or sessions. Detection confidence updates as more data becomes available. ### Multi-Region Deployment Global edge deployment minimizes latency for international operations. Automatic failover ensures continuous protection during outages. ## Technical Specifications Built for production streaming environments with low latency and high concurrency. ### Streaming Performance Analysis Mode Streaming Scores update continuously mid-session Connection Type WebSocket Bidirectional streaming Concurrent Streams 10,000+ Per deployment region ### Audio Streaming Sample Rates 8-48kHz Telephony through HD audio Codecs Opus, G.711, PCM Standard audio formats Channels Mono/Stereo Single and dual channel ### Video Streaming Frame Rate Up to 30fps Real-time video analysis Resolution Up to 1080p HD video streams Protocol WebRTC/RTMP Standard streaming protocols ## Use Cases Across Industries Real-Time Streaming enables live detection across financial services channels. Banking ### Call Center Protection Real-time voice analysis alerts agents to synthetic speech during account modification calls. Prevent takeover before changes complete. FinTech ### Live Video KYC Analyze video verification sessions in real-time. Detect deepfakes during live interactions rather than reviewing recordings after the fact. Crypto ### 24/7 Support Protection Continuous protection for around-the-clock support operations. Critical for crypto platforms where irreversible transactions demand real-time detection. ## Technical Documentation Everything you need to integrate real-time streaming into your platform. WebSocket API Streaming endpoint docs Integration Guide Call center setup SDK Documentation Node.js, Python, Go Performance Guide Latency optimization ## Frequently Asked Questions What engineering and fraud teams ask before integrating real-time streaming detection. ### How much latency does streaming detection add to a call? ### What happens if the WebSocket connection drops mid-call? ### Can we run streaming detection on our own infrastructure? ### How many concurrent streams can we run? ### Does streaming work for both audio and video? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Real-Time Voice Authentication Audio Deepfake Detection Call Center Authentication ## Ready for Real-Time Detection ? Deploy streaming deepfake detection across your call centers and video KYC channels. Schedule a Demo Explore Evidence & Compliance Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Evidence & Compliance | FalsiFind Platform URL: https://falsifind.com/platform/evidence-compliance Description: Cryptographically signed evidence bundles and audit-ready compliance reports for regulatory examinations and SAR filings. Platform Solutions Why FalsiFind Resources en Contact Us # Evidence & Compliance Every detection generates a cryptographically signed evidence bundle, audit-ready for regulatory examination, SAR filings, and legal proceedings. Every detection generates cryptographically signed evidence with timestamps, confidence scores, and analysis methodology. The documentation examiners and legal teams require. Request Demo Every Evidence Bundle Contains Detection timestamp (RFC 3161) Confidence scores by detection type Analysis methodology description Source media hash (SHA-256) Session and request identifiers Cryptographic signature chain ## How Evidence Generation Works Every detection event automatically creates a tamper-proof evidence bundle with cryptographic signatures and regulatory-grade documentation. ### Cryptographic Evidence Every detection generates a signed evidence bundle with SHA-256 hashing and RSA signatures. Tamper-proof documentation that withstands legal and regulatory scrutiny. ### Immutable Timestamps RFC 3161 compliant timestamps prove when detection occurred. Critical for establishing timelines during investigations and regulatory examinations. ### Long-Term Retention Configurable retention periods up to 7+ years to meet regulatory requirements. Evidence remains accessible and verifiable throughout retention periods. ### Flexible Export Export evidence in JSON for system integration or PDF for human review. Bulk export capabilities support regulatory examination preparation. ## Technical Specifications Compliance-grade evidence generation designed for regulatory examination requirements. ### Evidence Bundles Signature SHA-256 + RSA Cryptographic tamper-proofing Formats JSON, PDF Machine and human readable Retention 7+ Years Configurable retention periods ### Audit Capabilities Log Format Structured JSON SIEM-compatible format Events All API Calls Complete activity logging Export On-demand Bulk export for examinations ### Compliance Status SOC 2 Type II 85% In progress ISO 27001 75% In progress GDPR 90% Privacy-by-design ## Integration Points Evidence integrates with case management, SIEM platforms, and compliance systems via REST API and webhook events. Evidence Retrieval GET /v1/evidence/{detection_id} Retrieve signed evidence bundle Bulk Export POST /v1/evidence/export Export by date range or filters Audit Logs GET /v1/audit/logs SIEM-compatible activity logs evidence-bundle.json { "detection_id": "det_abc123", "timestamp": "2024-01-15T10:30:00Z", "timestamp_token": "MIIx...", "result": { "is_synthetic": true, "confidence": 0.97, "detection_type": "voice" }, "methodology": "multi-model-v2", "source_hash": "sha256:e3b0c44...", "signature": "RSA-SHA256:...", "certificate_chain": ["..."] } ## Use Cases Across Industries Evidence & Compliance supports regulatory documentation across financial services verticals. Banking ### FFIEC Examination Document authentication controls for regulatory examinations. Demonstrate appropriate safeguards under BSA/AML and GLBA requirements. FinTech ### Partner Bank Audits Satisfy partner bank due diligence with documented fraud controls. Evidence bundles demonstrate security measures for bank partnership compliance. Crypto ### MiCA & Travel Rule Generate regulatory documentation for evolving crypto compliance frameworks. Evidence supports identity verification requirements. ## Technical Documentation Resources for integrating evidence and compliance into your workflows. API Reference Evidence endpoints Compliance Guide Regulatory frameworks Legal Guide Evidence admissibility SIEM Integration Log forwarding setup ## Frequently Asked Questions How FalsiFind packages detection results into court-ready, regulator-friendly evidence. ### What is included in a cryptographic evidence bundle? ### Can the evidence hold up in court or regulatory examination? ### How long are evidence bundles retained? ### Can we export evidence for external systems? ### Does FalsiFind have SOC 2 or ISO 27001 certifications? ## Key terminology Definitions of the threats and defenses discussed on this page. Full glossary Media Forensics Content Provenance (C2PA) Detection Confidence Score ## Ready for Examination-Ready Evidence ? Generate cryptographic evidence for every detection event, ready for regulatory examination and legal proceedings. Schedule a Demo Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Our Approach to Deepfake Detection | FalsiFind URL: https://falsifind.com/why-falsifind/our-approach Description: How FalsiFind combines media forensics, behavioural context, and human review to deliver explainable deepfake and synthetic media decisions. Platform Solutions Why FalsiFind Resources en Contact Us # Our Approach Why specialization in financial services deepfake detection matters, and how we build defensible, explainable AI decisions. ## Why Financial Services? Deepfake threats in financial services are fundamentally different from other contexts. The attackers are sophisticated, the stakes are high, and the regulatory environment is demanding. Generic deepfake detection platforms struggle with these unique requirements. We built FalsiFind specifically for this environment. Financial fraud patterns differ from entertainment or social media deepfakes Banking infrastructure (SIP, G.711, legacy systems) requires specialized integration Regulatory requirements demand specific evidence formats and retention policies Enterprise security teams expect SSO, audit logs, and access controls Compliance officers need documentation that speaks to examiners Generalist Platforms Broad deepfake detection covering entertainment, social media, and enterprise. May struggle with telephony audio quality or banking-specific fraud patterns. FalsiFind Our Approach Purpose-built for financial services with banking integrations, compliance documentation, and detection models trained on financial fraud patterns. ## What Sets Us Apart Our approach prioritizes the specific needs of financial institutions over broad applicability. ### Financial Services Specialization We focus exclusively on banks, fintechs, and digital asset companies. This specialization means our detection models are trained on financial fraud patterns, our integrations work with banking infrastructure, and our compliance documentation speaks to regulators. ### Depth Over Breadth Rather than building detection for every possible use case, we go deep on financial services. Our voice detection understands call center telephony. Our document analysis knows identity verification workflows. Our compliance tools generate examiner-ready reports. ### Privacy-First Architecture Financial institutions need strict control over sensitive customer data. Customer media is held for 30 days or less, used only to train our detection models, and deleted when training completes. Institutions that require it can use zero-storage processing, where media is analyzed in memory and discarded immediately. ### Compliance-Ready Design Every detection generates cryptographically signed evidence bundles designed for regulatory examinations. We're building toward SOC 2 and ISO 27001 because our customers require them, not as marketing checkboxes. ## See Our Approach in Action Learn how our financial services specialization translates to better detection and faster integration for your organization. Schedule a Demo Technology Principles Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Security & Compliance | FalsiFind URL: https://falsifind.com/why-falsifind/security-compliance Description: Enterprise-grade security architecture for deepfake detection with 30-day maximum media retention, a zero-storage option, cryptographic evidence, and compliance with banking security frameworks. Platform Solutions Why FalsiFind Resources en Contact Us # Security & Compliance Enterprise-grade security architecture designed for financial institution requirements: 30-day maximum media retention with a zero-storage option, SOC 2 path, and cryptographic evidence chains. ## Compliance Progress Transparent status on our certification journey. We report actual progress, not marketing claims. SOC 2 Type II Third-party audit of security controls, availability, and confidentiality Target: Q1 2026 Progress 85% ISO 27001 International standard for information security management systems Target: Q2 2026 Progress 75% GDPR Compliance European privacy regulation with privacy-by-design architecture Target: Current Progress 90% ## Banking Security Standards Security controls designed to meet the requirements of financial institutions. Data Encryption AES-256 encryption at rest, TLS 1.3 in transit Access Controls Role-based access with SAML SSO integration Audit Logging Complete activity logs with immutable timestamps Network Security VPC isolation, WAF protection, DDoS mitigation Vendor Assessment Comprehensive security questionnaires available Data Residency Regional deployment options for data sovereignty ## Privacy-by-Design Privacy isn't a feature we added. It's foundational to our architecture. Zero-Storage Option Customers who require it can have audio, images, and video analyzed in memory and discarded immediately, with nothing retained or used for training. Standard processing holds media for 30 days or less. Detection Training Only Customer media is used only to train our detection models and is deleted when training completes, no later than 30 days after submission. It is never used for generative purposes. Our models produce detection results and nothing else. Minimal Data Collection We collect only what's necessary for detection and evidence generation. No behavioral tracking, no analytics on media content. Customer-Controlled Retention Evidence bundles are retained based on your configured policies. You control how long evidence exists and when it's purged. ## Security Questions? Let's Talk Our team is available to complete security questionnaires, discuss compliance requirements, and provide detailed documentation. Contact Security Team Our Approach Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Technology Principles | FalsiFind URL: https://falsifind.com/why-falsifind/technology-principles Description: The detection methodology and AI principles behind FalsiFind's deepfake detection platform: multi-model ensemble, explainability, and continuous adversarial testing. Platform Solutions Why FalsiFind Resources en Contact Us # Technology Principles The detection methodology and AI principles that make FalsiFind's results defensible in regulatory and legal contexts. ## Core Technology Principles Three foundational principles that shape every technical decision we make. ### Multi-Model Detection No single model can detect all synthetic media. We ensemble multiple detection approaches, each specialized for different generation methods, and combine their signals for robust classification. Acoustic feature analysis for voice Frequency domain analysis for images Temporal consistency for video Generation artifact detection across all media ### Cryptographic Evidence Every detection generates a cryptographically signed evidence bundle using RSA-PSS signatures. Timestamps follow RFC 3161 standards. Evidence is tamper-evident and designed for regulatory and legal scrutiny. SHA-256 content hashing RSA-PSS digital signatures RFC 3161 timestamp tokens Certificate chain verification ### Minimized Media Retention Customer media is held for 30 days or less, used only to train FalsiFind's detection models, and deleted when training completes. Customers who require it can use zero-storage processing, where media is analyzed in memory and discarded immediately. 30-day maximum media retention Detection-model training only, never generative Customer-controlled evidence retention Zero-storage processing option ## Technical Approach How we approach detection challenges with practical, defensible methodology. Generation-Agnostic Detection Our models identify artifacts of synthetic generation rather than fingerprinting specific tools. This means detection works against new generation methods, not just the ones we've seen before. Continuous Model Updates Detection models are updated regularly as new generation techniques emerge. Updates deploy without service interruption and without requiring customer code changes. Confidence Calibration Our confidence scores are calibrated to reflect true probabilities. A 90% confidence score means approximately 90% of similar cases are correctly classified, not an arbitrary threshold. ### What We Keep Proprietary We're transparent about our principles and approach, but we don't disclose implementation details that could help adversaries evade detection. Specific model architectures and training data Detection thresholds and decision boundaries Feature extraction methodology details Adversarial robustness techniques ## Technical Deep Dive? Let's Talk Our technical team can discuss architecture, integration, and detection methodology in detail with your engineering and security teams. Talk to Engineering Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Resources: Deepfake Threat Intelligence & Research | FalsiFind URL: https://falsifind.com/resources Description: White papers, case studies, and research on deepfake threats in financial services, synthetic identity fraud, and voice cloning attacks. Platform Solutions Why FalsiFind Resources en Contact Us # Resource Library Research, case studies, and threat intelligence on synthetic media fraud in financial services. Threat Center Latest threat intelligence Blog Insights & research Glossary Deepfake terminology, defined FAQ Evaluation questions, answered All Resources White Papers Case Studies Webinars Data Sheets White Paper Featured ### The State of Voice Cloning Attacks in Financial Services Comprehensive analysis of voice-based fraud attempts targeting call centers, with detection strategies and case examples. January 2026 15 min read Download Case Study Featured ### Regional Bank Reduces Voice ATO by 73% How a mid-sized regional bank deployed real-time voice detection to protect customer service operations. December 2025 8 min read Download Webinar ### Deepfake Detection for Compliance Teams Recording of our webinar covering regulatory requirements, evidence documentation, and examination preparation. November 2025 45 min watch Watch Recording Data Sheet ### FalsiFind Platform Overview Technical specifications, integration options, and deployment models for the FalsiFind detection platform. January 2026 5 min read Download White Paper ### Synthetic Identity Fraud: Detection Strategies Understanding AI-generated identity documents and how to detect them in KYC workflows. October 2025 20 min read Download Case Study ### Cryptocurrency Exchange Prevents $1.2M Fraud Implementing video deepfake detection for high-value withdrawal authorization. November 2025 6 min read Download Webinar ### Real-Time Voice Detection Architecture Technical deep dive into WebSocket streaming, latency optimization, and call center integration. September 2025 60 min watch Watch Recording Data Sheet ### Voice Detection API Specifications Detailed API documentation, codec support, and performance benchmarks for voice analysis. January 2026 10 min read Download ## Need Custom Resources ? Our team can provide custom briefings, threat assessments, and technical documentation tailored to your organization. Request Custom Briefing Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Threat Center | FalsiFind URL: https://falsifind.com/resources/threat-center Description: Current intelligence on deepfake attack techniques, voice cloning threats, and synthetic identity fraud targeting financial institutions. Platform Solutions Why FalsiFind Resources en Contact Us # Threat Center Current intelligence on deepfake attack techniques targeting financial institutions. 3,000% Increase in deepfake attacks (2023–2024) $3.8B Crypto fraud losses in 2023 47% Of FinTech fraud within 24h of account opening All Threats Financial Services Attack Techniques Industry Research Critical Updated January 2026 ### AI Voice Cloning for Account Takeover Attackers clone customer voices from public recordings (social media, podcast appearances, earnings calls) to bypass call center authentication. Source: FBI IC3 Report 2024 Read Analysis Critical Updated December 2025 ### Synthetic Identity Documents in KYC AI-generated identity documents designed to pass automated verification in digital onboarding flows. Generation quality has improved dramatically with open-source diffusion models. Source: Federal Reserve 2024 Read Analysis High Updated November 2025 ### Executive Video Deepfake for Wire Fraud Deepfake videos impersonating executives authorizing high-value wire transfers. Video-based authorization, normalized during COVID, is now a documented attack vector. Source: Onfido Identity Report 2024 Read Analysis Critical Updated January 2026 ### Real-Time Voice Synthesis Over Phone Live voice conversion enabling real-time voice cloning during phone calls. Unlike recorded clones, this technique allows attackers to respond naturally to questions. Source: Pindrop Security Report 2024 Read Analysis High Updated December 2025 ### After-Hours Crypto Social Engineering Targeting overnight and weekend shifts when senior staff are unavailable. AI voice clones authorize emergency cryptocurrency withdrawals at 3am when verification is harder. Source: Chainalysis Crypto Crime Report 2024 Read Analysis Medium Updated November 2025 ### Synthetic Identities Targeting MiCA Compliance Fraudsters using AI-generated documents to pass MiCA Article 68 identity requirements. Designed to create compliance records that satisfy automated checks but don't represent real individuals. Source: FATF Virtual Assets Guidance 2024 Read Analysis ## Stay Ahead of Threats Subscribe to our threat intelligence updates. Get notified when new attack techniques emerge and when we publish research. Subscribe Monthly updates. Unsubscribe anytime. No spam. ## Stay Ahead of Synthetic Media Threats Our threat intelligence team monitors emerging deepfake attack techniques. Get briefed on the specific threats relevant to your organization. Schedule a Threat Briefing View Resource Library Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Blog: Deepfake Detection Insights | FalsiFind URL: https://falsifind.com/resources/blog Description: Insights, analysis, and industry updates on synthetic media fraud, deepfake detection, and financial services security. Platform Solutions Why FalsiFind Resources en Contact Us Coming Soon # FalsiFind Blog Insights on synthetic media fraud, deepfake detection methodology, and financial services security are coming soon. Subscribe to be notified when we publish. Talk to Us Back to Home Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Detection FAQ for Banks & Fintechs | FalsiFind URL: https://falsifind.com/resources/faq Description: Answers to the questions financial institutions ask about deepfake detection: choosing a vendor, API integration, KYC deepfakes, voice detection software, and more. Platform Solutions Why FalsiFind Resources en Contact Us # Deepfake Detection FAQ Direct answers to the questions banks, fintechs, and digital asset platforms ask when evaluating deepfake detection. ## Frequently Asked Questions Short, straight answers you can forward to your risk committee. ### What is the best deepfake detection for banks and financial institutions? ### Does FalsiFind offer a deepfake detection API? ### How do you detect deepfakes in KYC and video onboarding? ### What is voice deepfake detection software and how does it work? ### Can deepfake detection run in real time on live calls? ### How does deepfake detection fit into an existing fraud stack? ### Is FalsiFind suitable for regulated, bank-grade environments? ### What does a detection confidence score mean, and how should we act on it? ## Still evaluating deepfake detection? Talk to our team about your fraud workflows and see a live detection walkthrough tailored to your institution. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake & Synthetic Media Fraud Glossary | FalsiFind URL: https://falsifind.com/resources/glossary Description: Plain-language definitions of deepfake, synthetic media, and AI fraud terminology for banks, fintechs, and fraud teams. From voice cloning to liveness detection. Platform Solutions Why FalsiFind Resources en Contact Us # The Deepfake Fraud Glossary Clear, citable definitions of the terminology behind AI-generated fraud and its detection, written for fraud, risk, and compliance teams in financial services. Browse terms ## Deepfake A deepfake is audio, image, or video content generated or manipulated by artificial intelligence to convincingly imitate a real person's face, voice, or actions. Modern deepfakes are produced by generative models such as diffusion networks, GANs, and neural voice synthesizers, and are frequently indistinguishable from authentic media to the human eye and ear. Read definition ## Synthetic Media Synthetic media is any audio, image, video, or text content that has been wholly generated or substantially altered by AI systems. Deepfakes are the impersonation-focused subset of synthetic media; the broader category also covers AI-generated identity documents, fabricated screenshots, and machine-written scripts used in fraud campaigns. Read definition ## Voice Cloning Voice cloning (also called voice spoofing) is the use of AI speech synthesis to replicate a specific person's voice, often from only a few seconds of sample audio taken from voicemail greetings, earnings calls, or social media. The cloned voice can then say anything the attacker types, in real time. Read definition ## Face Swap A face swap is a deepfake technique that replaces one person's face with another's in an image or video while preserving expressions, lighting, and head movement. Real-time face-swap tools can now run inside a live webcam feed, letting an attacker present someone else's face during a video call. Read definition ## Deepfake Detection Deepfake detection is the automated analysis of media to determine whether it was generated or manipulated by AI. Detection models examine artifacts that generative systems leave behind (spectral patterns in synthetic speech, frequency-domain anomalies in images, temporal inconsistencies in video) and return a confidence score rather than relying on human inspection. Read definition ## Audio Deepfake Detection Audio deepfake detection is the analysis of speech audio to identify signs of synthetic generation or voice conversion. Unlike speaker verification, which asks "is this the enrolled person?", audio deepfake detection asks "was this audio produced by a machine?", examining spectral, prosodic, and phase artifacts characteristic of text-to-speech and voice-cloning models. Read definition ## Liveness Detection Liveness detection verifies that biometric input comes from a physically present, live human rather than a photo, recording, mask, or digital replay. Active liveness asks the user to perform actions (blink, turn); passive liveness analyzes texture, depth, and micro-movement without user interaction. Liveness spoofing is the practice of defeating these checks with deepfakes or injection attacks. Read definition ## Presentation Attack A presentation attack is an attempt to defeat biometric verification by presenting falsified evidence to the sensor: a printed photo, a screen replay, a silicone mask, or a deepfake displayed to the camera. It is the "in front of the camera" attack class, standardized in ISO/IEC 30107 alongside presentation attack detection (PAD). Read definition ## Injection Attack An injection attack bypasses the physical camera or microphone and feeds pre-made or real-time synthetic media directly into the verification data stream, using virtual cameras, tampered apps, or intercepted API traffic. Unlike a presentation attack, nothing is shown to a sensor: the fake enters the pipeline as data. Read definition ## Synthetic Identity Fraud Synthetic identity fraud is the creation of a new, fictitious identity by combining real elements (often a valid SSN or national ID number) with fabricated names, documents, and increasingly AI-generated faces. Unlike classic identity theft, there is no real victim to report the fraud: the identity belongs to no one. Read definition ## Deepfake Vishing Deepfake vishing is voice phishing (vishing) enhanced with AI voice cloning: the attacker calls a victim (a customer, an employee, or a call-center agent) using a synthesized voice that imitates a trusted person such as a family member, a bank representative, or an executive. Combined with caller-ID spoofing, the call is nearly indistinguishable from a legitimate one. Read definition ## Executive Impersonation (CEO Fraud) Executive impersonation, often called CEO fraud, is the use of deepfake voice or video to pose as senior leadership and pressure employees into urgent, confidential actions, typically wire transfers or credential disclosure. It is the deepfake evolution of business email compromise (BEC), moving the deception from a spoofed inbox to a live call. Read definition ## KYC Deepfake Fraud KYC deepfake fraud is the use of AI-generated or AI-manipulated media to defeat Know Your Customer verification: forged or synthesized identity documents, AI-generated portrait photos, face-swapped selfies, and deepfake video streams in video-KYC interviews. It targets the exact controls regulators require for account opening. Read definition ## Account Takeover (ATO) Account takeover (ATO) is fraud in which an attacker gains control of a legitimate customer's existing account, changing credentials, adding payees or devices, and moving funds out. Modern ATO increasingly runs through the call center, where a cloned voice plus breached personal data convinces an agent to reset the account's defenses. Read definition ## Authorized Push Payment (APP) Fraud Authorized push payment (APP) fraud is a scam in which the victim is manipulated into authorizing a payment themselves, to an account controlled by the fraudster. Because the account holder approves the transfer, it bypasses controls built for unauthorized transactions; deepfaked voices and videos of family members, bank staff, or executives are now the manipulation tool of choice. Read definition ## Media Forensics Media forensics is the scientific analysis of audio, images, and video to establish authenticity, provenance, and evidence of manipulation. Techniques include metadata analysis, sensor-noise fingerprinting, compression-history examination, frequency-domain analysis, and (against generative AI) detection of the statistical artifacts synthesis models leave in their output. Read definition ## Content Provenance (C2PA) Content provenance is the verifiable record of a media file's origin and edit history. The C2PA standard (Coalition for Content Provenance and Authenticity) implements it as cryptographically signed "Content Credentials" embedded at capture or creation, letting downstream consumers verify who produced a file and what was changed. Read definition ## Call Center Authentication Call center authentication is the process of verifying a caller's identity before allowing account access or changes, traditionally through knowledge-based authentication (KBA), one-time passcodes, caller-ID matching, or voice biometrics. It is the control that decides whether the person on the line is the customer. Read definition ## Real-Time Voice Authentication Real-time voice authentication is the continuous verification of a caller's voice during a live conversation, rather than a single check at call start. Modern implementations pair speaker verification (is this the enrolled voice?) with synthetic-speech detection (is this voice machine-generated?) so that both impostors and deepfakes are caught mid-call. Read definition ## Detection Confidence Score A detection confidence score is a numeric output expressing how strongly analyzed media exhibits characteristics of AI generation or manipulation. Rather than a binary real/fake verdict, the score quantifies evidence strength, allowing consumers of the score to choose their own decision thresholds per use case. Read definition ## Looking for buying answers instead? Our FAQ covers questions like which deepfake detection fits banks, how the API works, and how to detect deepfakes in KYC. Read the FAQ Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # What Is a Deepfake? Definition for Financial Services | FalsiFind URL: https://falsifind.com/resources/glossary/deepfake Description: A deepfake is AI-generated or AI-manipulated media that convincingly imitates a real person's face, voice, or body. Learn why deepfakes matter to banks and how detection works. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Deepfake ## Definition A deepfake is audio, image, or video content generated or manipulated by artificial intelligence to convincingly imitate a real person's face, voice, or actions. Modern deepfakes are produced by generative models such as diffusion networks, GANs, and neural voice synthesizers, and are frequently indistinguishable from authentic media to the human eye and ear. ## Why it matters for financial institutions Deepfakes turn identity itself into an attack surface. A cloned executive voice can authorize a wire transfer, a swapped face can pass video KYC, and a fabricated video can trigger reputational or market damage. For institutions whose controls assume that seeing or hearing a person verifies them, deepfakes break a foundational assumption of fraud prevention. ## How FalsiFind addresses it FalsiFind runs dedicated detection pipelines for voice, image, and video, each tuned to the artifacts produced by today's leading generative architectures. Media is scored in real time with a confidence score and a signed evidence bundle, so fraud teams can act during the interaction rather than after the loss. ### Related terms Synthetic Media Deepfake Detection Face Swap ### Explore the platform Video Verification Banking & Financial Services ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Synthetic Media: Definition & Risks for Banks | FalsiFind URL: https://falsifind.com/resources/glossary/synthetic-media Description: Synthetic media is any content produced or altered by generative AI, including deepfakes, voice clones, and AI-generated documents. See why it matters for financial fraud teams. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Synthetic Media ## Definition Synthetic media is any audio, image, video, or text content that has been wholly generated or substantially altered by AI systems. Deepfakes are the impersonation-focused subset of synthetic media; the broader category also covers AI-generated identity documents, fabricated screenshots, and machine-written scripts used in fraud campaigns. ## Why it matters for financial institutions Financial institutions ingest media constantly: ID documents at onboarding, voices in call centers, video in remote authorization. As generative tools become cheap and accessible, every one of those channels can carry synthetic content crafted to defeat verification. Regulators, including FinCEN in its 2024 alert, now explicitly expect institutions to account for synthetic media in their fraud typologies. ## How FalsiFind addresses it FalsiFind detects synthetic generation artifacts across all three modalities from a single API, so institutions can apply consistent screening wherever media enters a decision: KYC, support calls, payment authorization, or dispute evidence. ### Related terms Deepfake Media Forensics Content Provenance (C2PA) ### Explore the platform Image Analysis Fraud & Risk Operations ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Voice Cloning & Voice Spoofing Explained | FalsiFind URL: https://falsifind.com/resources/glossary/voice-cloning Description: Voice cloning uses AI to replicate a real person's voice from seconds of audio. Learn how cloned voices defeat voice biometrics and how banks detect them. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Voice Cloning ## Definition Voice cloning (also called voice spoofing) is the use of AI speech synthesis to replicate a specific person's voice, often from only a few seconds of sample audio taken from voicemail greetings, earnings calls, or social media. The cloned voice can then say anything the attacker types, in real time. ## Why it matters for financial institutions Voice-based account takeover is now a dominant fraud vector in banking: an attacker with breached personal data and a cloned voice can pass knowledge-based questions and even voice biometric checks, then drain an account within a single customer-service call. Executives are equally exposed, with cloned leadership voices used to pressure staff into urgent wire transfers. ## How FalsiFind addresses it FalsiFind analyzes the acoustic features that betray synthetic generation, independent of how closely the clone matches the real voice. Streaming analysis flags suspicious audio while the call is still live, giving agents and IVR systems time to challenge or escalate before any account change completes. ### Related terms Deepfake Vishing Audio Deepfake Detection Account Takeover (ATO) ### Explore the platform Voice Detection Banking & Financial Services ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Face Swap Attacks in Identity Verification | FalsiFind URL: https://falsifind.com/resources/glossary/face-swap Description: A face swap replaces one person's face with another's in image or video. Learn how face swaps attack KYC and video verification, and how detection works. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Face Swap ## Definition A face swap is a deepfake technique that replaces one person's face with another's in an image or video while preserving expressions, lighting, and head movement. Real-time face-swap tools can now run inside a live webcam feed, letting an attacker present someone else's face during a video call. ## Why it matters for financial institutions Face swaps directly target the verification steps financial institutions trust most: selfie-to-document matching in KYC, video interviews for high-risk onboarding, and video calls used to authorize exceptional transactions. A successful swap lets a fraudster onboard with a stolen or synthetic identity that visually matches the presented documents. ## How FalsiFind addresses it FalsiFind's image and video pipelines detect the blending boundaries, texture inconsistencies, and temporal artifacts that face-swap generators leave behind, scoring both static KYC images and live video streams so swapped faces are flagged before verification succeeds. ### Related terms Deepfake KYC Deepfake Fraud Liveness Detection ### Explore the platform Video Verification Image Analysis ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Detection: How It Works for Banks | FalsiFind URL: https://falsifind.com/resources/glossary/deepfake-detection Description: Deepfake detection identifies AI-generated voice, image, and video by analyzing generation artifacts. Learn how banks deploy it across KYC, call centers, and payments. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Deepfake Detection ## Definition Deepfake detection is the automated analysis of media to determine whether it was generated or manipulated by AI. Detection models examine artifacts that generative systems leave behind (spectral patterns in synthetic speech, frequency-domain anomalies in images, temporal inconsistencies in video) and return a confidence score rather than relying on human inspection. ## Why it matters for financial institutions Manual review cannot keep pace with generative quality: studies consistently show humans perform near chance level at spotting good deepfakes. For banks, the stakes are concrete: undetected deepfakes translate into account takeover losses, KYC failures with regulatory consequences, and authorized-push-payment fraud. Detection restores an objective, auditable verification signal. ## How FalsiFind addresses it FalsiFind provides multi-model detection across voice, image, and video through one API, with real-time streaming for live calls, tenant-configurable thresholds per workflow, and cryptographically signed evidence bundles that document every decision for auditors and examiners. ### Related terms Detection Confidence Score Media Forensics Audio Deepfake Detection ### Explore the platform Voice Detection Image Analysis Video Verification ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Audio Deepfake Detection for Call Centers | FalsiFind URL: https://falsifind.com/resources/glossary/audio-deepfake-detection Description: Audio deepfake detection identifies synthetic and cloned speech in real time. Learn how it protects bank call centers where voice biometrics fall short. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Audio Deepfake Detection ## Definition Audio deepfake detection is the analysis of speech audio to identify signs of synthetic generation or voice conversion. Unlike speaker verification, which asks "is this the enrolled person?", audio deepfake detection asks "was this audio produced by a machine?", examining spectral, prosodic, and phase artifacts characteristic of text-to-speech and voice-cloning models. ## Why it matters for financial institutions Call centers are the soft target of banking fraud: a convincing cloned voice plus breached personal data defeats knowledge-based authentication and can defeat voice biometrics, because the clone is engineered to match the enrolled voiceprint. Detecting the synthesis itself, rather than the speaker identity, is the control that still works when the clone is good. ## How FalsiFind addresses it FalsiFind streams call audio through detection models tuned to current speech-synthesis architectures and returns a first risk signal early in the call. Scores update continuously through the call, so escalation can happen mid-conversation instead of in post-call review. ### Related terms Voice Cloning Real-Time Voice Authentication Call Center Authentication ### Explore the platform Voice Detection Real-Time Streaming ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Liveness Detection & Liveness Spoofing | FalsiFind URL: https://falsifind.com/resources/glossary/liveness-detection Description: Liveness detection verifies a real, present human during identity checks. Learn how deepfakes spoof liveness and why generation-artifact detection is the countermeasure. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Liveness Detection ## Definition Liveness detection verifies that biometric input comes from a physically present, live human rather than a photo, recording, mask, or digital replay. Active liveness asks the user to perform actions (blink, turn); passive liveness analyzes texture, depth, and micro-movement without user interaction. Liveness spoofing is the practice of defeating these checks with deepfakes or injection attacks. ## Why it matters for financial institutions Liveness checks are the backbone of remote onboarding, yet real-time face-swap and re-enactment tools can now perform the requested blinks and head turns on demand, and injection attacks bypass the camera entirely. Institutions that treat a passed liveness check as proof of authenticity are exposed to exactly the fraud the check was meant to prevent. ## How FalsiFind addresses it FalsiFind complements liveness systems by analyzing the media itself for generation artifacts. Even when a deepfake performs the liveness challenge correctly, the synthetic face it presents carries detectable traces, so the swap is caught even though the "liveness" behavior looks right. ### Related terms Presentation Attack Injection Attack Face Swap ### Explore the platform Video Verification FinTech & Neobanks ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Presentation Attacks in Biometric Verification | FalsiFind URL: https://falsifind.com/resources/glossary/presentation-attack Description: A presentation attack shows fake biometric evidence (photos, masks, replayed video, deepfakes) to a sensor. Learn how it differs from injection attacks and how to detect it. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Presentation Attack ## Definition A presentation attack is an attempt to defeat biometric verification by presenting falsified evidence to the sensor: a printed photo, a screen replay, a silicone mask, or a deepfake displayed to the camera. It is the "in front of the camera" attack class, standardized in ISO/IEC 30107 alongside presentation attack detection (PAD). ## Why it matters for financial institutions Every remote KYC flow, selfie check, and video authorization is a sensor an attacker can present to. As deepfake quality improves, presentation attacks have shifted from crude printed photos to high-fidelity synthetic faces and voices that pass casual PAD checks, putting onboarding controls and their regulatory obligations (CIP, CDD) at risk. ## How FalsiFind addresses it FalsiFind detects the synthetic-generation artifacts in presented media (texture and frequency anomalies in faces, synthesis artifacts in voices), providing a PAD-complementary signal that stays effective as presentation tools improve. ### Related terms Liveness Detection Injection Attack KYC Deepfake Fraud ### Explore the platform Image Analysis Video Verification ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Injection Attacks in Video KYC & Verification | FalsiFind URL: https://falsifind.com/resources/glossary/injection-attack Description: An injection attack feeds fake media directly into a verification pipeline, bypassing the camera. Learn why it's the fastest-growing video KYC threat and how detection helps. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Injection Attack ## Definition An injection attack bypasses the physical camera or microphone and feeds pre-made or real-time synthetic media directly into the verification data stream, using virtual cameras, tampered apps, or intercepted API traffic. Unlike a presentation attack, nothing is shown to a sensor: the fake enters the pipeline as data. ## Why it matters for financial institutions Injection attacks defeat controls that assume a trusted capture device, and industry analyses now report them growing several times faster than presentation attacks against video KYC. For fintechs and crypto platforms with fully automated onboarding, an injected deepfake stream can pass both document matching and liveness without a camera ever being involved. ## How FalsiFind addresses it Because FalsiFind analyzes the media content itself rather than trusting the capture path, injected deepfakes are scored with the same generation-artifact analysis as any other media. Suspicious streams are flagged regardless of whether they arrived through a real camera or a virtual one. ### Related terms Presentation Attack KYC Deepfake Fraud Liveness Detection ### Explore the platform Video Verification FinTech & Neobanks ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Synthetic Identity Fraud: Definition & Detection | FalsiFind URL: https://falsifind.com/resources/glossary/synthetic-identity-fraud Description: Synthetic identity fraud combines real and fabricated data into a new identity that passes KYC. Learn why it's the fastest-growing financial crime and how AI detection helps. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Synthetic Identity Fraud ## Definition Synthetic identity fraud is the creation of a new, fictitious identity by combining real elements (often a valid SSN or national ID number) with fabricated names, documents, and increasingly AI-generated faces. Unlike classic identity theft, there is no real victim to report the fraud: the identity belongs to no one. ## Why it matters for financial institutions Synthetic identities are widely cited as the fastest-growing financial crime in the US, because they exploit automated account opening: the fraudster builds credit history patiently, then "busts out" with maximum loans and disappears. AI-generated ID photos and deepfake selfie checks have removed the last manual hurdle, and losses land squarely on the institution since no consumer disputes the account. ## How FalsiFind addresses it FalsiFind screens onboarding media for the AI-generation signals synthetic identities depend on (generated or manipulated ID document images and synthetic faces in selfie and video checks), flagging applications for enhanced review before the account, and the credit line, ever exists. ### Related terms KYC Deepfake Fraud Synthetic Media Account Takeover (ATO) ### Explore the platform Image Analysis FinTech & Neobanks Banking & Financial Services ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Deepfake Vishing: AI Voice Phishing Explained | FalsiFind URL: https://falsifind.com/resources/glossary/deepfake-vishing Description: Deepfake vishing is voice phishing powered by AI voice cloning. Learn how cloned voices target bank customers, employees, and call centers, and how to detect them. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Deepfake Vishing ## Definition Deepfake vishing is voice phishing (vishing) enhanced with AI voice cloning: the attacker calls a victim (a customer, an employee, or a call-center agent) using a synthesized voice that imitates a trusted person such as a family member, a bank representative, or an executive. Combined with caller-ID spoofing, the call is nearly indistinguishable from a legitimate one. ## Why it matters for financial institutions Vishing was already a top social-engineering vector; cloning removes its biggest weakness, the unfamiliar voice. Banks face it from both directions: fraudsters impersonating customers to the bank's own agents, and fraudsters impersonating the bank to its customers to extract credentials and one-time passcodes that then defeat multi-factor authentication. ## How FalsiFind addresses it On inbound calls, FalsiFind's real-time audio analysis flags synthetic speech to agents from the very start of the conversation. The same detection can be embedded in outbound-fraud investigation and employee-facing channels, giving institutions an objective signal where human ears fail. ### Related terms Voice Cloning Call Center Authentication Executive Impersonation (CEO Fraud) ### Explore the platform Voice Detection Banking & Financial Services ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # CEO Fraud & Executive Deepfake Impersonation | FalsiFind URL: https://falsifind.com/resources/glossary/executive-impersonation Description: Executive impersonation uses deepfake voice or video of leadership to authorize fraudulent payments. Learn from real incidents and see how detection prevents them. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Executive Impersonation (CEO Fraud) ## Definition Executive impersonation, often called CEO fraud, is the use of deepfake voice or video to pose as senior leadership and pressure employees into urgent, confidential actions, typically wire transfers or credential disclosure. It is the deepfake evolution of business email compromise (BEC), moving the deception from a spoofed inbox to a live call. ## Why it matters for financial institutions The losses are headline-scale: in one widely reported 2024 case, an employee at engineering firm Arup transferred roughly US$25 million after a video call with deepfaked executives. Remote-first work has normalized video authorization for exceptional transactions, and a convincing face and voice on a call now overrides written-process skepticism. ## How FalsiFind addresses it FalsiFind verifies the media, not the story: live call audio and video are screened for synthesis artifacts, so a deepfaked executive is flagged during the call. Signed evidence bundles document the detection, supporting both the interrupted fraud case and subsequent investigation. ### Related terms Deepfake Vishing Authorized Push Payment (APP) Fraud Voice Cloning ### Explore the platform Video Verification Voice Detection Fraud & Risk Operations ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # KYC Deepfake Fraud & Video KYC Attacks | FalsiFind URL: https://falsifind.com/resources/glossary/kyc-deepfake-fraud Description: KYC deepfake fraud uses AI-manipulated documents and faces to defeat customer onboarding checks. Learn how video KYC attacks work and how banks stop them. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # KYC Deepfake Fraud ## Definition KYC deepfake fraud is the use of AI-generated or AI-manipulated media to defeat Know Your Customer verification: forged or synthesized identity documents, AI-generated portrait photos, face-swapped selfies, and deepfake video streams in video-KYC interviews. It targets the exact controls regulators require for account opening. ## Why it matters for financial institutions A KYC process that deepfakes can pass is a compliance failure, not just a fraud loss: Customer Identification Program obligations (31 CFR 1020.220), CDD rules, and equivalent regimes worldwide hold institutions accountable for verifying who opens accounts. Fintechs competing on instant onboarding are most exposed, since fully automated approval leaves no human checkpoint. ## How FalsiFind addresses it FalsiFind screens every onboarding artifact (document images for manipulation indicators like EXIF inconsistencies and edge anomalies, selfies and video streams for face swaps and synthesis), returning scores fast enough to keep instant-onboarding conversion intact while routing suspicious applications to enhanced review. ### Related terms Synthetic Identity Fraud Injection Attack Face Swap ### Explore the platform Image Analysis FinTech & Neobanks Digital Assets & Crypto ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Account Takeover (ATO) & Deepfake Voice Attacks | FalsiFind URL: https://falsifind.com/resources/glossary/account-takeover Description: Account takeover is the hijacking of a legitimate customer account. Learn how voice cloning supercharged ATO against bank call centers and how real-time detection stops it. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Account Takeover (ATO) ## Definition Account takeover (ATO) is fraud in which an attacker gains control of a legitimate customer's existing account, changing credentials, adding payees or devices, and moving funds out. Modern ATO increasingly runs through the call center, where a cloned voice plus breached personal data convinces an agent to reset the account's defenses. ## Why it matters for financial institutions ATO converts directly to loss and attrition: funds leave within minutes, and victims frequently leave the institution afterward. Voice-channel ATO is especially damaging because it exploits the human helpfulness of support teams, and regulatory guidance (FFIEC authentication guidance, Regulation E dispute liability) puts the burden of adequate verification on the institution. ## How FalsiFind addresses it FalsiFind adds continuous synthetic-voice screening to every support call, flagging cloned voices in real time before account modifications complete. Risk scores integrate with call-center systems to trigger step-up verification or route the call to fraud-trained senior agents automatically. ### Related terms Voice Cloning Call Center Authentication Deepfake Vishing ### Explore the platform Voice Detection Banking & Financial Services Digital Assets & Crypto ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # APP Fraud & Deepfake Social Engineering | FalsiFind URL: https://falsifind.com/resources/glossary/authorized-push-payment-fraud Description: Authorized push payment fraud tricks victims into sending money themselves. Learn how deepfake voices and videos supercharge APP scams and what detection changes. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Authorized Push Payment (APP) Fraud ## Definition Authorized push payment (APP) fraud is a scam in which the victim is manipulated into authorizing a payment themselves, to an account controlled by the fraudster. Because the account holder approves the transfer, it bypasses controls built for unauthorized transactions; deepfaked voices and videos of family members, bank staff, or executives are now the manipulation tool of choice. ## Why it matters for financial institutions APP fraud has overtaken card fraud in several markets, and regulators are responding: the UK now mandates reimbursement split between sending and receiving institutions, turning social-engineering losses into direct bank liability. When the "person" instructing the payment is a deepfake, traditional confirmation calls make things worse, not better. ## How FalsiFind addresses it FalsiFind gives verification workflows an objective media check: voice and video used to instruct or confirm payments can be screened for synthesis in real time, so a wire-verification call with a cloned voice is flagged before the payment is released. ### Related terms Executive Impersonation (CEO Fraud) Deepfake Vishing Voice Cloning ### Explore the platform Voice Detection Banking & Financial Services Fraud & Risk Operations ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Media Forensics for Financial Fraud Teams | FalsiFind URL: https://falsifind.com/resources/glossary/media-forensics Description: Media forensics is the scientific analysis of audio, image, and video authenticity. Learn how automated forensics powers deepfake detection at banking scale. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Media Forensics ## Definition Media forensics is the scientific analysis of audio, images, and video to establish authenticity, provenance, and evidence of manipulation. Techniques include metadata analysis, sensor-noise fingerprinting, compression-history examination, frequency-domain analysis, and (against generative AI) detection of the statistical artifacts synthesis models leave in their output. ## Why it matters for financial institutions Fraud, disputes, and investigations increasingly hinge on whether a piece of media is real: a submitted ID document, a recorded authorization call, video evidence in a dispute. Manual forensic examination is slow and scarce, while financial institutions need authenticity decisions at transaction speed and in bulk. ## How FalsiFind addresses it FalsiFind operationalizes media forensics as an API: automated multi-model analysis applies forensic techniques at transaction speed, and each result ships with a signed evidence bundle (timestamps, scores, methodology) that preserves forensic value for disputes, SAR filings, and examinations. ### Related terms Deepfake Detection Content Provenance (C2PA) Detection Confidence Score ### Explore the platform Image Analysis Evidence & Compliance ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Content Provenance & C2PA Explained | FalsiFind URL: https://falsifind.com/resources/glossary/content-provenance Description: Content provenance cryptographically records where media came from and how it was edited. Learn what C2PA credentials do, their limits, and how detection complements them. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Content Provenance (C2PA) ## Definition Content provenance is the verifiable record of a media file's origin and edit history. The C2PA standard (Coalition for Content Provenance and Authenticity) implements it as cryptographically signed "Content Credentials" embedded at capture or creation, letting downstream consumers verify who produced a file and what was changed. ## Why it matters for financial institutions Provenance is powerful where it exists, but it is opt-in. Fraudulent media simply arrives without credentials, and stripped metadata is common in legitimate media too, so absence proves nothing. Institutions therefore cannot treat provenance as a fraud control on its own; they need a way to assess the media that arrives credential-less, which is nearly all of it. ## How FalsiFind addresses it FalsiFind provides the complementary signal: content-based detection that judges authenticity from the media itself, no cooperation from the creator required. Together, provenance (when present) and generation-artifact detection (always) give institutions a layered authenticity architecture. ### Related terms Media Forensics Synthetic Media Deepfake Detection ### Explore the platform Evidence & Compliance Image Analysis ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Call Center Authentication in the Deepfake Era | FalsiFind URL: https://falsifind.com/resources/glossary/call-center-authentication Description: Call center authentication verifies callers before account changes. Learn why KBA and voice biometrics fail against cloned voices and what real-time detection adds. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Call Center Authentication ## Definition Call center authentication is the process of verifying a caller's identity before allowing account access or changes, traditionally through knowledge-based authentication (KBA), one-time passcodes, caller-ID matching, or voice biometrics. It is the control that decides whether the person on the line is the customer. ## Why it matters for financial institutions Every traditional layer is now compromised in combination: breach data answers KBA questions, SIM swaps intercept passcodes, caller ID is spoofable, and voice clones can defeat voiceprint matching. The call center has become the preferred entry point for account takeover precisely because its controls predate generative AI. ## How FalsiFind addresses it FalsiFind adds the layer the others lack: continuous analysis of whether the caller's voice is machine-generated at all. Streaming detection scores the call from the moment it starts and throughout, feeding IVR and agent desktops so step-up verification triggers automatically when synthesis is suspected. ### Related terms Account Takeover (ATO) Audio Deepfake Detection Real-Time Voice Authentication ### Explore the platform Voice Detection Real-Time Streaming Banking & Financial Services ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Real-Time Voice Authentication & Deepfake Screening | FalsiFind URL: https://falsifind.com/resources/glossary/real-time-voice-authentication Description: Real-time voice authentication continuously verifies a caller during the conversation. Learn how synthetic-speech screening closes the gap voice biometrics leave open. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Real-Time Voice Authentication ## Definition Real-time voice authentication is the continuous verification of a caller's voice during a live conversation, rather than a single check at call start. Modern implementations pair speaker verification (is this the enrolled voice?) with synthetic-speech detection (is this voice machine-generated?) so that both impostors and deepfakes are caught mid-call. ## Why it matters for financial institutions One-time authentication creates a window: verify at minute one, defraud at minute five. Attackers exploit handoffs, mid-call voice changes, and the fact that a passed check tends to switch off agent skepticism. For high-value operations (wire desks, private banking, trading floors), continuous assurance is the difference between catching fraud during the call and reading about it in the loss report. ## How FalsiFind addresses it FalsiFind streams call audio continuously with a first risk signal arriving early in the conversation and updates the risk score throughout the conversation. Detection watches for synthesis artifacts the entire call, so a fraudster who joins late, or switches to a cloned voice after authenticating, is still flagged. ### Related terms Call Center Authentication Audio Deepfake Detection Voice Cloning ### Explore the platform Real-Time Streaming Voice Detection ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Detection Confidence Scores Explained | FalsiFind URL: https://falsifind.com/resources/glossary/detection-confidence-score Description: A detection confidence score quantifies how likely media is AI-generated. Learn how banks turn scores into thresholds, workflows, and auditable decisions. Platform Solutions Why FalsiFind Resources en Contact Us All glossary terms Glossary term # Detection Confidence Score ## Definition A detection confidence score is a numeric output expressing how strongly analyzed media exhibits characteristics of AI generation or manipulation. Rather than a binary real/fake verdict, the score quantifies evidence strength, allowing consumers of the score to choose their own decision thresholds per use case. ## Why it matters for financial institutions Binary verdicts force one risk tolerance onto every workflow; scores let institutions tune each one. A high-value wire authorization can escalate at modest suspicion while routine balance inquiries tolerate more ambiguity, managing the perpetual trade-off between fraud catch rate and customer friction. Scores also give model risk management something auditable: documented thresholds, measurable false-positive rates, defensible decisions. ## How FalsiFind addresses it FalsiFind returns calibrated confidence scores with every analysis and supports tenant-specific thresholds per workflow and transaction type. Each score ships inside a signed evidence bundle documenting methodology and timestamp, so threshold decisions stand up in disputes and regulatory examinations. ### Related terms Deepfake Detection Media Forensics Real-Time Voice Authentication ### Explore the platform Evidence & Compliance Fraud & Risk Operations ## See detection in action Get a walkthrough of how FalsiFind detects synthetic voice, image, and video across your fraud-critical workflows. Book a Demo Browse the glossary Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Cookie Policy | FalsiFind URL: https://falsifind.com/legal/cookie-policy Description: How FalsiFind uses cookies and similar technologies, including the categories we set and how to manage your preferences. Platform Solutions Why FalsiFind Resources en Contact Us # Cookie Policy How FalsiFind uses cookies and similar tracking technologies on our marketing website. Effective Date: May 6, 2026 Last Updated: May 6, 2026 This Cookie Policy explains how Obscurae Intelligence Inc., a Delaware corporation (“ FalsiFind ,” “ we ,” “ us ,” or “ our ”) uses cookies and similar tracking technologies on our marketing website at falsifind.com (the “ Website ”). It supplements our Privacy Policy and our Terms of Use . To the extent there is any conflict between this Cookie Policy and the Privacy Policy regarding the processing of personal information through cookies, the Privacy Policy controls. This policy does not address cookies or tracking technologies used inside the FalsiFind detection platform at app.falsifind.com or api.falsifind.com (the “ Platform ”). Platform cookies are described in the Platform documentation and are governed by the customer’s subscription agreement and Data Processing Addendum. ## 1. What Cookies Are Cookies are small text files that a website places on your device when you visit. They are widely used to make websites work, to make them work more efficiently, and to provide information to the operators of the site. We also use other tracking technologies that function similarly to cookies, including pixel tags, web beacons, local storage, and server-side identifiers. In this policy, we refer to all of these collectively as “ cookies .” Cookies can be classified by who sets them and how long they last: First-party cookies are set by FalsiFind directly when you visit the Website. Third-party cookies are set by a service we have integrated, such as an analytics or marketing provider. Session cookies are deleted when you close your browser. Persistent cookies remain on your device until they expire or you delete them. ## 2. How We Use Cookies We use cookies to operate the Website, to remember your preferences, to understand how the Website is used so we can improve it, and (only with your consent) to measure marketing performance and to enable optional functional features. We do not use cookies to make automated decisions about you that produce legal or similarly significant effects. ## 3. Our Cookie Categories Our cookie banner gives you control over four categories. The categories on this page match the banner exactly. ### 3.1 Strictly Necessary (always on) These cookies and similar technologies are required for the Website to function and to keep it secure. They handle routing, session continuity, load balancing, bot detection and fraud prevention on our forms, and remembering your cookie choices. They do not require your consent under applicable law and cannot be disabled through the banner. Cookie Purpose Duration Party falsifind_session Session continuity and CSRF protection Session First-party falsifind_consent Stores your cookie banner choices so we do not ask you again on every page 13 months First-party Vercel edge cookies (e.g., __vercel_* ) Routing, load balancing, and edge security Session to 12 months Vercel (service provider) Cloudflare Turnstile (e.g., cf_clearance , Turnstile challenge tokens) Verifies that form interactions (demo requests, newsletter signups, gated content downloads, AI chat assistant) come from human users rather than automated bots, and prevents abuse and fraud Session to 30 days Cloudflare (service provider) About Cloudflare Turnstile. Turnstile is a CAPTCHA replacement that processes your IP address, browser and device characteristics, and limited interaction signals to produce a verification token. It runs invisibly or with minimal interaction. Turnstile does not use this data for cross-site tracking or advertising and does not set third-party advertising cookies. Because Turnstile is a security function (specifically, bot detection and fraud prevention), it operates on the strictly necessary basis under the ePrivacy Directive, the legitimate interests basis under GDPR Article 6(1)(f), and the security purposes exception under the CCPA/CPRA. It is on whether or not you accept any other cookie category. ### 3.2 Analytics (off by default; opt-in) We use Umami , a privacy-respecting traffic analytics tool, to understand which pages are useful and to improve the Website. Umami does not perform cross-site tracking, does not build advertising profiles, and does not sell or share data with advertising networks . Umami operates only when you have enabled the Analytics category in our cookie banner. Cookie Purpose Duration Party umami.session Identifies a Website session for aggregate page-view counting Session Umami umami.id Distinguishes returning visitors for aggregate metrics Up to 13 months Umami ### 3.3 Marketing (off by default; opt-in) These cookies measure marketing campaign performance and let us show you relevant FalsiFind content on third-party sites. They are off by default and operate only after you enable the Marketing category in our cookie banner. Important California / US state privacy notice. Enabling Marketing cookies may constitute a “ sale ” or “ share ” of personal information for cross-context behavioral advertising under the California Consumer Privacy Act as amended by the California Privacy Rights Act (CCPA/CPRA), and similar terms under the comprehensive privacy laws of Colorado, Connecticut, Virginia, Texas, Oregon, Montana, and other states. You can opt out at any time through the cookie banner , by selecting “Reject all,” or by emailing privacy@falsifind.com . We honor Global Privacy Control (GPC) signals as a valid opt-out request from any browser that sends them. The specific Marketing cookies we use depend on which campaigns are active. Common examples include: Cookie Purpose Duration Party LinkedIn Insight Tag (e.g., li_* , bcookie , lidc ) Conversion measurement and audience building for LinkedIn campaigns Up to 13 months LinkedIn Google Ads conversion (e.g., _gcl_* ) Measuring ad-driven conversions Up to 90 days Google Microsoft Advertising (e.g., MUID , _uetsid ) Conversion measurement for Microsoft Ads Session to 13 months Microsoft We may add or remove Marketing cookies as our campaign mix changes. The current and complete list is always available in the Cookie preferences modal accessible from the Website footer. ### 3.4 Functional (off by default; opt-in) These cookies enable optional features such as embedded media (for example, videos hosted by a third party), chat widgets, and saved UI preferences such as remembered form selections. They are off by default and operate only after you enable the Functional category. Cookie Purpose Duration Party Embedded media cookies (e.g., YouTube, Vimeo) Playing embedded video and remembering playback preferences Session to 24 months Respective video host falsifind_ui_prefs Remembering UI preferences such as accepted notices or layout choices 12 months First-party ## 4. Managing Your Choices Cookie banner. When you first visit the Website, our cookie banner gives you three choices: Reject all. Strictly Necessary cookies remain on. Analytics, Marketing, and Functional cookies will not be set or read. Save preferences. Toggle each category on or off individually, then save your selection. Accept all. All four categories are enabled. You can change your choices at any time by opening the Cookie preferences modal from the link in the Website footer. We honor your latest choice from that point forward and remove cookies that are no longer authorized. Global Privacy Control (GPC). We honor GPC as a valid opt-out signal for the Analytics and Marketing categories. If your browser sends a GPC signal, we treat it as a “Reject all” for those categories on every page load, even if you have not interacted with the banner. Browser controls. Most browsers let you block, delete, or restrict cookies through their settings. Blocking strictly necessary cookies will break parts of the Website. Browser-level controls operate independently of our banner and may override your banner choices. Do Not Track (DNT). There is no widely adopted standard for how websites must respond to DNT browser signals. We do not respond to DNT, but we do honor GPC as described above. ## 5. International Transfers Some of the providers listed in this policy (including Umami where self-hosted in the United States, LinkedIn, Google, Microsoft, Cloudflare, and Vercel) may process cookie data in the United States or other countries outside your country of residence. Where personal information is transferred from the European Economic Area, the United Kingdom, or Switzerland to the United States or another third country, we rely on the transfer mechanisms described in Section 7 of our Privacy Policy , including the EU-US Data Privacy Framework where the receiving entity is certified, Standard Contractual Clauses with Transfer Impact Assessments, and the UK International Data Transfer Agreement and Addendum where applicable. ## 6. Children The Website is not directed to children, and we do not knowingly use cookies to collect personal information from anyone under the age of 16. If you believe we have done so, please contact privacy@falsifind.com . ## 7. Changes to This Policy Our cookie use changes over time as we add or remove tools, run new campaigns, or update functionality. When that happens, we will update this Cookie Policy, update the cookie banner and the Cookie preferences modal, and update the “Last Updated” date above. For material changes, we will reprompt you for consent through the banner. Your continued use of the Website after the effective date of an update constitutes acceptance of the updated policy, subject to your right to change cookie preferences at any time. ## 8. Contact For questions about this Cookie Policy, your cookie choices, or to exercise any related privacy right: Email: privacy@falsifind.com Mail: Obscurae Intelligence Inc. Attn: Privacy 522 West Riverside Ave., #8054 Spokane, WA 99201 United States FalsiFind is a product of Obscurae Intelligence Inc., a Delaware corporation. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Privacy Policy | FalsiFind URL: https://falsifind.com/legal/privacy-policy Description: How FalsiFind collects, uses, and safeguards personal data across our website, demos, and deepfake detection platform. Platform Solutions Why FalsiFind Resources en Contact Us # Privacy Policy How FalsiFind handles personal information across the marketing website and the detection platform. Effective Date: August 5, 2026 Last Updated: August 5, 2026 FalsiFind is operated by Obscurae Intelligence Inc., a Delaware corporation (“ FalsiFind ,” “ we ,” “ us ,” or “ our ”). This Privacy Policy explains how we collect, use, share, and protect personal information in connection with our marketing website at falsifind.com (the “ Website ”) and our deepfake detection platform delivered at app.falsifind.com and api.falsifind.com (the “ Platform ”). It also explains the rights available to individuals under applicable privacy laws, including the EU General Data Protection Regulation (GDPR), the UK GDPR, the California Consumer Privacy Act as amended by the California Privacy Rights Act (CCPA/CPRA), other US state comprehensive privacy laws, the Personal Information Protection and Electronic Documents Act (PIPEDA), and Quebec’s Law 25. ## 1. Scope and Two-Track Structure This policy is structured in two tracks because the data we handle in each context is fundamentally different. Track 1, Website Data. Personal information we collect from visitors to the Website, from people who request demos, sign up for our newsletter, download gated resources, or interact with our AI chat assistant. For this data, FalsiFind acts as a data controller (or “ business ” under US state privacy laws). Track 2, Platform Data. Personal information processed by the Platform on behalf of our enterprise customers, including any media files, account telemetry, or end-user information that customers submit for analysis. For this data, FalsiFind acts as a data processor (or service provider under US state privacy laws), and our processing is governed by the written subscription agreement and Data Processing Addendum (DPA) we sign with each customer, not by this policy. Where this policy and a customer DPA conflict regarding Platform Data, the DPA controls. This policy does not address employment-related personal information, which is covered under separate internal notices. ## 2. Information We Collect (Website Data) We collect Website Data in the following ways. Information you provide directly. When you request a demo, you provide your name, business email, company name, role or title, country, and any free-text message you choose to include. When you subscribe to our newsletter, you provide your business email and, optionally, your name and company. When you download gated resources such as white papers or data sheets, you provide your business email and, optionally, your name, company, and role. When you interact with our AI chat assistant on the Website, we collect the conversation history, including the prompts you submit and the responses generated, along with session metadata (timestamps, page context, and an anonymous session identifier). We do not require you to log in to use the AI chat assistant. Information collected automatically. When you visit the Website, we collect technical information through cookies and similar technologies as described in Section 9 (Cookies and Tracking) and consistent with your choices in our cookie banner. This includes IP address (truncated where feasible), browser type and version, operating system, referring URL, pages viewed, time spent on pages, and approximate location derived from IP. Strictly necessary cookies are always on. Analytics, Marketing, and Functional cookies operate only with your consent. Bot detection and fraud prevention. We use Cloudflare Turnstile to verify that interactions with our Website forms (including demo requests, newsletter signups, gated content downloads, and the AI chat assistant) come from human users rather than automated bots. Turnstile processes your IP address, browser and device characteristics, and limited interaction signals to produce a verification token. This processing is necessary for the security of the Website and the integrity of our forms. We rely on it as a strictly necessary security function under the ePrivacy Directive’s “strictly necessary” exemption, on legitimate interests under GDPR Article 6(1)(f), and on the security purposes exception under the CCPA/CPRA. Turnstile is provided by Cloudflare, Inc., which acts as a sub-processor on our behalf and is identified in our sub-processor list in Section 6. Information from third parties. We may receive information from analytics providers, marketing partners (where you have consented to Marketing cookies), and from publicly available sources such as professional networking sites where you have made information public. We do not knowingly collect personal information from anyone under the age of 16. The Website is not directed to children. If you believe a child has provided us with personal information, please contact us at privacy@falsifind.com and we will delete it. ## 3. How We Use Website Data We use Website Data for the following purposes: Responding to demo requests, sales inquiries, and support questions Sending newsletters, product updates, and marketing communications you have opted into, with an unsubscribe link in every message Delivering gated content you have requested Operating the AI chat assistant, including generating responses and improving the assistant’s performance against our internal quality benchmarks (we do not use chat content to train or fine-tune third-party foundation models) Measuring Website performance, debugging, and improving navigation and content (Analytics cookies) Measuring marketing campaign performance and showing you relevant FalsiFind content on third-party sites (Marketing cookies, only with your consent) Enabling functional features such as embedded media, chat widgets, and saved UI preferences (Functional cookies, only with your consent) Detecting and preventing fraud, abuse, and security incidents Complying with legal obligations and exercising or defending legal claims ## 4. Legal Bases for Processing (GDPR and UK GDPR) For individuals in the European Economic Area, the United Kingdom, and Switzerland, we rely on the following legal bases under Article 6 of the GDPR: Consent (Art. 6(1)(a)): newsletter subscriptions, non-essential cookies, marketing communications, and AI chat assistant interactions where consent is required Performance of a contract (Art. 6(1)(b)): responding to demo requests and providing gated resources you have requested Legitimate interests (Art. 6(1)(f)): measuring Website performance, securing the Website, communicating with business contacts about products relevant to their professional role, and defending legal claims, in each case balanced against your privacy interests Legal obligation (Art. 6(1)(c)): retaining records as required by tax, accounting, and other applicable laws You have the right to withdraw consent at any time without affecting the lawfulness of processing carried out before withdrawal. ## 5. Retention of Website Data We retain Website Data for the following periods: Demo requests, gated content downloads, and other sales-related contacts: up to 24 months from last contact, after which we either delete the record or anonymize it, unless a longer period is required by law or to defend legal claims Newsletter subscriptions: until you unsubscribe, plus a short suppression-list retention to honor your unsubscribe request AI chat assistant conversation history: up to 30 days from the date of the conversation, after which conversation content is deleted from production systems Cookie data: as described in our cookie banner, with maximum retention of 13 months for analytics and marketing cookies Server and security logs: up to 12 months, except where a longer period is needed for incident investigation If you exercise a deletion right under Section 8, we will delete or anonymize the relevant data within the time periods required by applicable law, subject to legal-hold and statutory retention exceptions. ## 6. How We Share Website Data We do not sell Website Data, and we do not “share” Website Data for cross-context behavioral advertising as those terms are defined under the CCPA/CPRA, except to the extent that enabling Marketing cookies through our cookie banner involves third-party advertising partners that may be classified as a “sale” or “share” under California law. You can opt out at any time using the cookie banner or by selecting “Reject all.” We disclose Website Data to the following categories of recipients: Sub-processors and service providers. We use a small set of vetted third parties to operate the Website and the Platform. The current list is: Sub-processor Purpose Location Amazon Web Services (AWS) Cloud infrastructure, including selected AI inference services United States Google Cloud Platform Cloud infrastructure and selected workspace services United States Microsoft Azure Cloud infrastructure and selected workspace services United States Cloudflare Bot detection and fraud prevention on Website forms via Cloudflare Turnstile United States Okta Identity and access management for our internal staff and for customer SSO United States Vercel Website hosting, DNS management, and edge delivery United States We sign written agreements with each sub-processor that include confidentiality, security, and data protection obligations consistent with applicable law. An updated sub-processor list is maintained for our enterprise customers under their DPA. Professional advisors. Our lawyers, auditors, accountants, and insurers, under duties of confidentiality. Legal and safety disclosures. Where we are required by law, court order, subpoena, or regulatory authority to disclose information, or where we believe disclosure is necessary to protect rights, safety, property, or to investigate fraud or security incidents. Corporate transactions. In the event of a merger, acquisition, financing, reorganization, bankruptcy, or sale of assets, we may transfer Website Data as part of the transaction, subject to confidentiality protections and continued application of this policy or an equivalent successor policy. ## 7. International Data Transfers We are headquartered in the United States, and our sub-processors are primarily located in the United States. When we transfer personal information from the European Economic Area, the United Kingdom, or Switzerland to the United States or another third country, we rely on one or more of the following transfer mechanisms: The EU-US Data Privacy Framework, the UK Extension to the DPF, and the Swiss-US Data Privacy Framework, where the receiving entity is certified Standard Contractual Clauses adopted by the European Commission, supplemented by the UK Information Commissioner’s International Data Transfer Addendum where applicable Transfer Impact Assessments documenting the legal regime of the destination country and any supplementary technical, contractual, or organizational measures Other valid mechanisms recognized under applicable law Copies of the relevant transfer mechanisms are available on request to privacy@falsifind.com . ## 8. Your Privacy Rights Depending on where you live, you may have the following rights with respect to your personal information. We honor these rights for all individuals to the extent applicable law permits. Access and portability. You can request a copy of the personal information we hold about you and, where technically feasible, in a portable format. Correction. You can ask us to correct inaccurate or incomplete information. Deletion. You can ask us to delete your personal information, subject to legal-hold, statutory retention, and other lawful exceptions. Objection and restriction. You can object to processing based on legitimate interests and ask us to restrict processing in certain circumstances. Withdrawal of consent. Where processing is based on consent, you can withdraw consent at any time without affecting the lawfulness of processing before withdrawal. Opt-out of sale, sharing, and targeted advertising. California, Colorado, Connecticut, Virginia, and other US state residents can opt out of any sale, sharing, or targeted advertising at any time using our cookie banner or by emailing privacy@falsifind.com . We honor Global Privacy Control signals as a valid opt-out request for browsers from which they are received. Limit use of sensitive personal information. California residents can ask us to limit our use of sensitive personal information, although we do not currently use such information for purposes that trigger this right. Non-discrimination. We will not discriminate against you for exercising any of these rights. We do not offer financial incentives in exchange for personal information. Quebec residents (Law 25). You have the additional right to be informed about the use of automated decision-making and to request human review where automated decisions produce legal or similarly significant effects. We do not currently use automated decision-making to make decisions about Website visitors that would produce such effects. EU/UK residents (GDPR). You have the right to lodge a complaint with your local supervisory authority. Our EU representative under Article 27 of the GDPR is [EU Representative to be appointed] and our UK representative under Article 27 of the UK GDPR is [UK Representative to be appointed] . How to exercise your rights. For Fay chat sessions, you can export or delete your data immediately and without verification via our self-service data request page . For all other data (Website usage, demo submissions, etc.), send a request to privacy@falsifind.com with enough information for us to verify your identity and locate your records. We will respond within the time period required by applicable law (generally 30 to 45 days, with a possible extension where permitted). You may use an authorized agent where applicable law permits, in which case we will require proof of authorization. If you are an end user of an enterprise customer’s deployment of the Platform, please direct your request to that customer in the first instance, since they are the controller of that data. We will support our customer in responding to your request as required under our DPA. ## 9. Cookies and Tracking We use cookies and similar technologies on the Website. You can manage your preferences at any time through the cookie banner and the Cookie preferences modal accessible from the Website footer. Our cookie categories match the banner exactly. For full details, see our Cookie Policy . Strictly Necessary (always on). Required for the site to function: routing, security, and remembering your cookie choices. These cookies do not require consent under applicable law. Analytics (off by default; opt-in). We use Umami , a privacy-respecting traffic analytics tool, to understand which pages are useful. Umami does not perform cross-site tracking and does not build advertising profiles. Marketing (off by default; opt-in). Used to measure marketing campaign performance and to show you relevant FalsiFind content on third-party sites. Enabling Marketing cookies may constitute a “sale” or “share” under the CCPA/CPRA and equivalent state laws. Functional (off by default; opt-in). Optional features such as embedded media, chat widgets, and saved UI preferences. You can choose Reject all , Save preferences with custom selections, or Accept all through the banner. We honor Global Privacy Control as an opt-out signal for Analytics and Marketing categories. A full list of cookies, their purpose, the party that sets them, and their retention period is available in the Cookie preferences modal. ## 10. Platform Data (Track 2) When our enterprise customers use the Platform, FalsiFind acts as a processor or service provider under applicable law. Customers are the controllers of the data they submit to the Platform, including any media files analyzed for synthetic-content detection, any account telemetry, and any end-user information embedded in submissions. Media retention. The Platform is designed to minimize the persistent storage of raw customer media. Raw media submitted for analysis, along with associated analysis artifacts, is retained for 30 days or less . During that period the media is used solely to train FalsiFind’s detection models, and it is deleted from production systems when that training completes, and in every case within 30 days of submission. Cryptographically signed JSON evidence bundles, which contain analysis results and metadata but not the raw media, are retained according to the customer’s configuration under the subscription agreement. Detection-model training only. Customer-submitted media is used for one purpose: training FalsiFind’s own detection models. Those models produce detection results and nothing else. We do not use customer-submitted media or customer Platform Data for any generative purpose, and we do not use them to train, fine-tune, or improve any generative model or any third-party foundation model. Zero-storage processing. Customers who require it may enable zero-storage processing, under which media is analyzed in memory and discarded immediately after analysis. Media processed under this option is not retained and is not used for training. Customer instructions and DPA. All processing of Platform Data is performed in accordance with the customer’s documented instructions, the subscription agreement, and our DPA, which incorporates Standard Contractual Clauses where required, the UK International Data Transfer Addendum where applicable, and additional safeguards consistent with the customer’s regulatory environment (including GLBA, NYDFS Part 500, HIPAA where applicable, and sector-specific frameworks). End-user inquiries. If you are an end user whose information has been processed through the Platform, please contact the FalsiFind customer that initiated the processing. We will assist that customer in responding to your inquiry as required under our DPA. ## 11. Security We maintain administrative, technical, and physical safeguards designed to protect personal information against unauthorized access, disclosure, alteration, and destruction. These include encryption in transit and at rest, role-based access control, multi-factor authentication, network segmentation, vulnerability management, monitoring and logging, and a written incident response plan with breach notification commitments. A more detailed description is available on our Security page. No system can be guaranteed to be perfectly secure, and we encourage you to use strong, unique passwords and to be cautious about the information you submit through any online form. ## 12. Automated Decision-Making The Platform uses machine-learning models to analyze media for indicators of synthetic generation or manipulation, and to produce a confidence score, an agreement metric, and a recommended verdict. The Platform is designed to support, not replace, human review. We do not use automated decision-making to make decisions about Website visitors that produce legal or similarly significant effects. For Platform deployments where a customer chooses to integrate FalsiFind output into automated decisioning, the customer is responsible for ensuring appropriate human oversight, contestability, and disclosure under applicable law (including the EU AI Act, where applicable). ## 13. Changes to This Policy We may update this policy from time to time. When we do, we will post the updated policy here, update the “Last Updated” date, and, for material changes, provide notice through the Website or by email where we have your contact information. Your continued use of the Website or the Platform after the effective date of an update constitutes acceptance of the updated policy. ## 14. Contact Us For privacy questions, requests, or complaints: Email: privacy@falsifind.com Mail: Obscurae Intelligence Inc. Attn: Privacy 522 West Riverside Ave., #8054 Spokane, WA 99201 United States For security-related concerns, please contact security@falsifind.com . For all other legal notices, please contact legal@falsifind.com . FalsiFind is a product of Obscurae Intelligence Inc., a Delaware corporation. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Security Overview | FalsiFind URL: https://falsifind.com/legal/security Description: FalsiFind's security program: encryption, access controls, secure development practices, and incident response. Platform Solutions Why FalsiFind Resources en Contact Us # Security Program Our security program for the FalsiFind platform and marketing website, written for security, risk, and procurement teams. Effective Date: August 5, 2026 Last Updated: August 5, 2026 This page describes the security program at Obscurae Intelligence Inc. (“ FalsiFind ”) for the FalsiFind deepfake detection platform delivered at app.falsifind.com and api.falsifind.com (the “ Platform ”) and for the marketing website at falsifind.com (the “ Website ”). It is written for security, risk, and procurement teams at financial institutions, fintechs, and other regulated buyers, and it is structured to map cleanly to standard third-party risk management questionnaires (including SIG Lite, SIG Core, and CAIQ). We have made specific commitments below. We are happy to discuss any of them in detail under NDA. ## 1. Security Governance Ownership. Security is owned at the executive level. The Chief Executive Officer holds ultimate accountability for the security program. Day-to-day operations are run by an internal security function that reports to the CEO and reviews program status with the Board on a regular cadence. Policies. We maintain a written information security policy set covering access control, asset management, change management, cryptography, data classification and handling, encryption key management, human resources security, incident response, network security, secure software development, supplier risk, and vulnerability management. Policies are reviewed at least annually and after any material change to the threat environment or the business. Risk management. We operate a documented risk-management process that identifies, assesses, and treats security and privacy risks on a continuous basis, with formal review at least annually. Personnel. All personnel undergo background checks where permitted by law, sign confidentiality and IP-assignment agreements before access is granted, complete security awareness training at hire and annually thereafter, and complete role-based training where applicable. Access is removed promptly upon termination. ## 2. Architecture and Hosting Hosting. The Platform is hosted on managed cloud infrastructure with major US-based providers identified in our sub-processor list (Section 10), with data residency in the United States by default. The Website is delivered via Vercel. Cross-domain isolation. Frontend services at app.falsifind.com and backend services at api.falsifind.com run as separate applications with CORS controls and separate deployment surfaces. The marketing site at falsifind.com is fully isolated from the Platform. Tenant isolation. The Platform is multi-tenant with row-level isolation in PostgreSQL. Tenant identifiers are enforced on every authenticated request, on every database query, and on every storage access path. Tenant-scoped detection policies, geolocation settings, quotas, and subscription tiers are maintained per tenant. Network. Production environments are protected by managed firewalls, network ACLs, and TLS termination at the edge. Database and cache services are not exposed to the public internet. Administrative access is restricted to authorized personnel using identity-federated paths. Environment separation. Production, staging, and development environments are logically separated, with separate credentials, separate data stores, and separate secrets. ## 3. Identity and Access Management Customer authentication. The Platform supports: JWT-based access tokens with a 15-minute expiry and refresh tokens with a 7-day expiry, using family-based rotation that detects refresh-token reuse and revokes a compromised family Single Sign-On (SSO) via OAuth 2.0 and OpenID Connect, with production integrations available for Okta, Microsoft Entra ID (Azure AD), and Google Workspace , including just-in-time provisioning API keys stored only as SHA-256 hashes , never in plaintext at rest Multi-factor authentication (MFA) via TOTP, with QR-code enrollment and one-time backup codes Password security using bcrypt with appropriate cost factor, with complexity and rotation rules configurable at the tenant level Role-based access control (RBAC). A unified RBAC system enforces six standard roles across analysis, API management, and UI surfaces. Permissions are checked server-side on every request. Customers can configure role assignments at the tenant level. Session management. Sessions are tracked through refresh-token families with configurable maximum concurrent sessions and configurable inactivity timeouts. Internal access. FalsiFind personnel access to production is governed by least-privilege principles, requires SSO and MFA, is logged, and is reviewed on a recurring cadence. Production data access is limited to a small set of personnel with a documented business need. ## 4. Data Protection and Encryption Encryption in transit. All connections to the Platform and the Website use TLS 1.2 or higher , with modern cipher suites and HSTS. Internal service-to-service traffic is also encrypted in transit. Encryption at rest. Data at rest, including databases, object storage, backups, and managed cache, is encrypted using AES-256 or equivalent provider-managed encryption. Key management. Cryptographic keys are managed through cloud-provider key management services with separation of duties for key administration and access. Customer secrets, including API keys, are stored only as cryptographic hashes; SSO client secrets and other operational secrets are stored in encrypted secret stores. Data classification. We classify data according to a documented schema and apply handling rules (encryption, access, retention, logging) according to classification. ## 5. Privacy-First Architecture and Evidence Integrity The Platform is designed to minimize the persistent storage of raw customer media and to make the integrity of analysis results independently verifiable. Minimized media retention. Raw customer media submitted for analysis, along with associated analysis artifacts, is retained for 30 days or less . During that window the media is used solely to train FalsiFind’s detection models, and it is deleted from production systems when that training completes, and in every case within 30 days of submission. Customers who require it may enable zero-storage processing, under which media is analyzed in memory, discarded immediately after analysis, and not used for training. Evidence bundles. Analysis output is captured in cryptographically signed JSON evidence bundles. Bundles are signed with RSA-PSS signatures, and a SHA-256 hash chain links sequential analyses to support chain-of-custody verification. Evidence bundles contain analysis results and metadata; they do not contain raw media. Detection-model training only. Customer-submitted media is used solely to train FalsiFind’s own detection models. Those models produce detection results and nothing else. We do not use customer-submitted media, customer Platform Data, or any account telemetry for any generative purpose, and we do not use them to train, fine-tune, or improve any generative model or any third-party foundation model. Data subject rights support. The Platform supports GDPR-style data export and deletion workflows for customer-administered end-user data. ## 6. Application Security and Secure SDLC Code review. All code changes are peer reviewed and merged through a documented pull-request workflow. Changes affecting security-sensitive surfaces require additional review. Static and dynamic analysis. We use static application security testing (SAST), dependency vulnerability scanning, and secret scanning in our CI pipeline. We perform dynamic application security testing (DAST) on a recurring cadence. Software composition. We maintain an inventory of open-source components and track their licenses and known vulnerabilities. We treat copyleft licenses (including AGPL and SSPL) as restricted by default and approve OSS use through a documented intake process. Software Bills of Materials (SBOMs) are produced for the Platform. Vulnerability management. Vulnerabilities are triaged on disclosure, with remediation timelines tied to severity. We track remediation against documented service-level objectives. Penetration testing. We engage qualified third-party testers to perform penetration testing on a recurring cadence and after material architectural changes. Summary letters are available to enterprise customers under NDA. Container and dependency hygiene. Production runtimes use pinned base images and pinned Python and Node versions. Dependencies are kept current against published advisories. ## 7. Logging, Monitoring, and Detection Audit logging. Authentication events, administrative actions, API access, analysis events, and configuration changes are logged. Logs are protected against tampering and retained according to documented schedules. Monitoring. Production environments are continuously monitored for availability, performance, error rates, and anomalous activity. Alerts are routed to on-call personnel. Detection and response. Security-relevant events are reviewed and triaged. We maintain documented playbooks for the most common incident classes. Bot detection and fraud prevention. Public-facing Website forms (demo requests, newsletter signups, gated content downloads, AI chat assistant) are protected by Cloudflare Turnstile to verify human interaction and to defend against automated abuse, credential stuffing, and form-flood attacks. ## 8. Incident Response and Breach Notification Plan. We maintain a written incident response plan that defines roles, escalation paths, decision authorities, and communication procedures, and we conduct tabletop exercises at a cadence appropriate to our risk profile. Notification commitment. In the event of a security incident affecting customer data, we will notify affected customers without undue delay and in accordance with applicable law and the customer’s subscription agreement , with target notification consistent with GDPR Article 33 (72 hours), NYDFS Part 500 (72 hours where applicable), CIRCIA (72 hours, 24 hours for ransomware payments where applicable), and US state breach-notification statutes as they apply to the affected data and jurisdictions. Forensics and evidence. We engage privileged counsel-led forensics for material incidents and preserve evidence accordingly. Coordination. We coordinate with cyber insurance carriers, law enforcement (FBI IC3, CISA, Secret Service as appropriate), and regulators as required. ## 9. Business Continuity and Disaster Recovery Backups. Production databases are backed up on a documented schedule. Backups are encrypted at rest and tested for restorability. High availability. Critical Platform services are deployed with redundancy across availability zones. The deployment pipeline supports rolling updates and rapid rollback. Recovery objectives. We maintain documented Recovery Point and Recovery Time Objectives appropriate to the service tier. Specific RPO/RTO commitments are made in customer subscription agreements. Testing. Backup restoration and failover procedures are tested on a recurring cadence. ## 10. Sub-processor and Supplier Risk Management We use a small set of vetted third parties to operate the Platform and the Website. Each is subject to a documented due-diligence and risk-rating process, written contractual security and privacy obligations, and ongoing monitoring. The current list is: Sub-processor Purpose Data retention Location Amazon Web Services (AWS) Cloud infrastructure, including selected AI inference services Per service SLA United States Google Cloud Platform Cloud infrastructure and selected workspace services Per service SLA United States Microsoft Azure Cloud infrastructure and selected workspace services Per service SLA United States Cloudflare Bot detection and fraud prevention on Website forms via Cloudflare Turnstile Cookieless; no persistent visitor data United States Okta Identity and access management for our internal staff and for customer SSO Per subscription agreement United States Vercel Website hosting, DNS management, and edge delivery Standard edge logs United States Anthropic (Claude Haiku / Sonnet) LLM inference for the Fay conversational assistant. Conversation text is sent to Claude in-flight to generate responses. Zero Data Retention (ZDR) is enforced at the API-key level. Anthropic does not store or use conversation content to train models. Zero retention (ZDR) United States / EU OpenAI (gpt-4o-transcribe) Voice transcription for Fay's voice input feature. Audio is held in memory only, never written to disk, and discarded immediately after the API response. OpenAI's standard 30-day audio retention policy applies under our API agreement; no training on our data. Up to 30 days (OpenAI default) United States Voyage AI Embedding generation for Fay's hybrid retrieval pipeline. Query text and knowledge-base chunks are sent per request to generate dense vector representations. Voyage AI does not retain request content. No retention (stateless API) United States Cohere Reranking of retrieved knowledge chunks for the Fay assistant. Query text and candidate chunks are sent per request. Cohere does not retain request content under our API agreement. No retention (stateless API) United States Trust center note: For the Fay conversational assistant, Anthropic Claude is used with Zero Data Retention (ZDR) enforced at the API key level. This means conversation content is processed in-flight for inference only and is never stored by Anthropic or used to improve their models. Enterprise customers receive an updated sub-processor list and material-change notifications under their Data Processing Addendum. ## 11. Compliance Posture (Summary) A detailed description of certifications, attestations, and frameworks is on our Compliance page. In summary: SOC 2 Type II: in progress, targeted completion in line with our published roadmap ISO/IEC 27001: in progress GDPR / UK GDPR: operational CCPA / CPRA and US state privacy laws: operational PIPEDA and Quebec Law 25: operational readiness NYDFS Part 500 alignment: operational, designed for financial-sector buyers GLBA Safeguards alignment: operational NIST AI Risk Management Framework: alignment EU AI Act: posture under development consistent with phased application timeline We do not claim certifications we do not hold. Where work is in progress, we say so. ## 12. Customer Responsibilities (Shared Responsibility Model) The Platform’s security posture depends in part on choices made by each customer. Customers are responsible for: Configuring SSO, MFA, RBAC, session controls, and password policy at the tenant level Managing user lifecycle, including provisioning and deprovisioning Protecting API keys and rotating them on a schedule appropriate to the customer’s environment Reviewing audit logs available to the customer Submitting only data the customer is authorized to submit, and not submitting data outside the scope of the subscription Ensuring that any integration of FalsiFind output into automated decision-making includes appropriate human oversight, contestability, and disclosure under applicable law ## 13. Coordinated Disclosure If you believe you have found a security vulnerability affecting FalsiFind, please report it to security@falsifind.com . We ask that you give us a reasonable opportunity to investigate and remediate before public disclosure, that you do not access or modify data beyond what is necessary to demonstrate the issue, and that you avoid actions that would degrade service for others. We do not currently operate a paid bug-bounty program. We recognize good-faith reporters and will work with you on attribution and remediation timelines. ## Meet Fay: AI Disclosure FalsiFind operates Fay , a conversational AI assistant available on the marketing website. Fay is designed to answer questions about the FalsiFind platform and to help qualified prospects book a product demo. What Fay does. Fay answers questions grounded in our published product documentation and marketing content. It will not answer questions outside that scope and is designed to refuse requests for legal, financial, or investment advice, and to decline requests unrelated to FalsiFind products. How Fay is powered. Fay uses Anthropic Claude for language inference and Voyage AI + Cohere for knowledge retrieval and reranking. All three vendors are listed in the sub-processor table in Section 10 above, along with their data-retention commitments. Data retention and ZDR. Anthropic Zero Data Retention (ZDR) is enforced at the API-key level. Conversation content sent to Claude is processed in-flight for inference only and is never stored by Anthropic or used to train their models. Voyage AI and Cohere are stateless (no retention per their API agreements). FalsiFind retains session telemetry (turn count, latency, intent signals, and satisfaction scores) for up to 90 days for quality and safety evaluation, with no raw conversation text retained beyond individual turn processing. No customer data used for training. FalsiFind does not use any Fay conversation content to fine-tune, train, or improve any AI model. Your data rights. You may request deletion of your Fay session data at any time via the data request form or by emailing privacy@falsifind.com . We will respond within 30 days. Rollout and availability. Fay is deployed via a feature-flag system that controls which pages the widget appears on and what percentage of visitors see it. The widget is never shown on this page, on the contact page , or on any other legal page. Engineering and marketing operations review Fay’s quality metrics weekly; the operational runbook is maintained at docs/fay-runbook.md in the engineering repository. ## 14. Documentation Available to Enterprise Customers Under NDA, enterprise customers and prospects can request: Penetration test summary letters Architecture and data-flow diagrams Sub-processor list with material-change notification commitments Data Processing Addendum, including Standard Contractual Clauses and the UK Addendum where applicable Security questionnaire responses (SIG Lite, SIG Core, CAIQ) Incident response plan summary Business continuity and disaster recovery summary Audit reports and certifications, when issued ## 15. Contact Email: security@falsifind.com Mail: Obscurae Intelligence Inc. Attn: Security 522 West Riverside Ave., #8054 Spokane, WA 99201 United States FalsiFind is a product of Obscurae Intelligence Inc., a Delaware corporation. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Compliance | FalsiFind URL: https://falsifind.com/legal/compliance Description: FalsiFind's compliance posture, including regulatory alignment, audits, certifications, and documentation available to customers. Platform Solutions Why FalsiFind Resources en Contact Us # Compliance Posture Our certifications in progress, operational regulatory frameworks, and AI-specific alignment, written for legal, risk, and procurement teams. Effective Date: May 6, 2026 Last Updated: May 6, 2026 This page describes the compliance posture of Obscurae Intelligence Inc. (“ FalsiFind ”) for the FalsiFind deepfake detection platform (“ Platform ”). It is written for legal, risk, and procurement teams at financial institutions, fintechs, and other regulated buyers. We are direct about what is in progress, what is operational, and what we are aligning to. We do not claim certifications we do not hold. We do not use compliance language as marketing. Where work is underway, we say so and we say where we are. ## 1. How to Read This Page We organize our compliance posture into three layers: Certifications and Attestations in Progress. External, independent assessments we are working toward, with current status and target timing. Operational Compliance. Regulatory frameworks under which we operate today, with the controls, processes, and documentation that support that posture. AI-Specific Frameworks. Voluntary and emerging frameworks we have adopted because they are the right substantive baseline for an AI product, regardless of whether external attestation exists yet. Detailed evidence (control descriptions, sub-processor list, DPA, transfer documentation, penetration test summary letters, and where issued, audit reports) is available to enterprise customers and qualified prospects under NDA. ## 2. Certifications and Attestations in Progress These are external, independent assessments we are pursuing. We use the word “ in progress ” deliberately. We do not represent that any of these is complete until the relevant report or certificate has been issued. ### 2.1 SOC 2 Type II Status: In progress. Approximate readiness: ~85%, as tracked against our internal control matrix. Trust services criteria: Security, Availability, and Confidentiality are in scope. Processing Integrity and Privacy may be added in a subsequent examination. What we have done: documented control owners and evidence-collection procedures, deployed continuous control monitoring tooling, completed a readiness assessment, and engaged a qualified independent auditor. What is left: completing the observation period for the Type II report and the independent auditor’s examination. What this means for buyers: until the Type II report is issued, we cannot represent that we are SOC 2 Type II compliant. We can, under NDA, share our control matrix, readiness assessment, and progress against criteria. ### 2.2 ISO/IEC 27001 Status: In progress. Approximate readiness: ~75% against the ISO/IEC 27001:2022 control set. What we have done: scoped the Information Security Management System (ISMS), documented Statement of Applicability, established the risk management process, and aligned policies to Annex A controls. What is left: maturing internal audit cycles, completing the management review program, and engaging an accredited certification body for Stage 1 and Stage 2 audits. What this means for buyers: until certification is issued, we cannot represent that we are ISO/IEC 27001 certified. We can, under NDA, share our ISMS scope, Statement of Applicability, and current control coverage. ### 2.3 ISO/IEC 27017 and 27018 Status: Aligned, formal certification deferred. We track 27017 (cloud-specific controls) and 27018 (cloud PII controls) as supplements to 27001. We will pursue formal certification once 27001 is complete. ### 2.4 SOC 1 Type II Status: Not pursued at this time. We will reassess when customer financial-reporting impact warrants it. ## 3. Operational Compliance These are the regulatory frameworks under which we operate today. The controls, policies, and processes that support them are described in detail on our Security page and in our Privacy Policy . ### 3.1 GDPR and UK GDPR Status: Operational. We process personal information consistent with the EU General Data Protection Regulation and the UK GDPR. Specifically, we: Distinguish controller and processor roles and document them per data flow Maintain Records of Processing Activities (Article 30) Sign Data Processing Addenda with enterprise customers, incorporating Standard Contractual Clauses and the UK International Data Transfer Addendum where applicable Conduct Transfer Impact Assessments for transfers to third countries Honor data subject rights (access, rectification, erasure, restriction, objection, portability, withdrawal of consent) within statutory timelines Maintain a written breach notification process aligned with the Article 33 supervisory authority notification requirement (72 hours) and Article 34 individual notification requirements Operate under appointed Article 27 representatives in the EU and the UK (current status: representatives to be appointed , placeholders maintained on the Privacy Policy) Approximate readiness: ~90%, with the Article 27 representative appointments as the remaining open item. ### 3.2 CCPA / CPRA and US State Comprehensive Privacy Laws Status: Operational. We honor consumer privacy rights under the California Consumer Privacy Act as amended by the California Privacy Rights Act, and under the comprehensive privacy laws of states including Colorado, Connecticut, Virginia, Utah, Texas, Oregon, Montana, and others as they take effect. We: Honor access, deletion, correction, opt-out of sale and sharing, and limit-use rights Honor Global Privacy Control as a valid opt-out signal Maintain service-provider contracts with sub-processors that comply with CCPA/CPRA service-provider requirements Do not sell personal information. Where Marketing cookies are enabled by a Website visitor, that activity may be classified as a “sale” or “share” under California law; visitors can opt out at any time through the cookie banner ### 3.3 PIPEDA and Quebec Law 25 Status: Operational readiness. For Canadian personal information, we operate consistent with PIPEDA principles and with the additional obligations under Quebec’s Law 25, including transparency about automated decision-making, breach notification to the Commission d’acces a l’information where applicable, and cross-border transfer disclosures. ### 3.4 NYDFS Part 500 Alignment Status: Operational alignment for financial-sector deployment. The Platform is designed to support customer obligations under New York Department of Financial Services 23 NYCRR Part 500, as amended through the Second Amendment, including: Multi-factor authentication coverage (the universal MFA requirement that took effect 1 November 2025) Asset inventory support Audit trail and access logging Incident reporting alignment with the 72-hour cybersecurity event notification and 24-hour extortion-payment notification with explanation requirement Data retention and disposal practices NYDFS regulated entities remain responsible for their own Part 500 compliance, including the dual-signature CEO and CISO certification requirement. We support customer compliance with documentation and audit artifacts. ### 3.5 GLBA Safeguards Rule Alignment Status: Operational alignment. Where the Platform processes nonpublic personal information of a financial institution’s customers, we operate as a service provider under the Safeguards Rule. Our administrative, technical, and physical safeguards align with the Rule’s requirements, and our Data Processing Addendum reflects the contractual obligations financial-institution customers need from a service provider. ### 3.6 HIPAA Status: Available where required, by exception. The Platform is not generally directed to healthcare workflows. Where a customer has a use case that involves Protected Health Information, we will discuss whether and how to enter into a Business Associate Agreement and apply the additional controls that posture requires. ### 3.7 PCI DSS Status: Not in scope by design. We do not process, store, or transmit cardholder data through the Platform. ### 3.8 Cross-Border Data Transfers Status: Operational. We rely on the EU-US Data Privacy Framework and the UK Extension and Swiss-US DPF where the receiving entity is certified, on Standard Contractual Clauses with Transfer Impact Assessments where DPF coverage does not apply, on the UK International Data Transfer Agreement and Addendum for UK transfers, and on other valid mechanisms as recognized under applicable law. ## 4. AI-Specific Frameworks These frameworks address the AI dimension of the Platform directly. Some are voluntary and intentionally non-prescriptive; others are emerging law. We have adopted them substantively because they are the right baseline for an AI product, even where formal external attestation is not yet available. ### 4.1 NIST AI Risk Management Framework (AI RMF 1.0) Status: Aligned. We operate against the four core functions of the NIST AI RMF (Govern, Map, Measure, Manage), including: Documented AI governance ownership and policies Model and dataset inventory Risk assessment for each model and deployment context Evaluation methodology including disagreement metrics, agreement-level thresholds, and ensemble-based reduction of false positives Drift monitoring and incident review for model behavior Red-team and adversarial-evaluation cadence ### 4.2 ISO/IEC 42001 (AI Management Systems) Status: Posture under development. We are tracking ISO/IEC 42001 as the formal AI management-system standard counterpart to 27001. We expect to assess formal certification once our 27001 program is complete. ### 4.3 ISO/IEC 23894 (AI Risk Management) Status: Aligned, used as an internal reference. ### 4.4 EU AI Act Status: Posture under development consistent with phased application. We track our obligations under Regulation (EU) 2024/1689 across the phased application timeline: The prohibitions and AI literacy obligations applicable from 2 February 2025 The general-purpose AI provider obligations and AI Office governance regime applicable from 2 August 2025 The high-risk system and Article 50 transparency obligations applicable from 2 August 2026 The extended transition for high-risk systems embedded in regulated products through 2 August 2027 Provider, deployer, importer, distributor classification. We act as a provider of an AI system (the Platform) for the purpose of the Act. Customers act as deployers . Where the Platform is integrated into a regulated product, the regulated-product overlay may apply. High-risk classification. We are conducting and documenting our analysis of whether and to what extent the Platform falls under Annex III high-risk categories given how customers use it. Where high-risk obligations apply, we will support deployer obligations including human oversight, transparency, and record-keeping. Article 50 transparency. Outputs that may be used to determine whether content is synthetic or manipulated are provided with the documentation needed for deployers to satisfy their Article 50 transparency obligations to end users. General-Purpose AI. We are not currently a provider of a general-purpose AI model. ### 4.5 OECD AI Principles Status: Aligned. ## 5. Documentation Customers and Prospects Can Request Under NDA, we make available: Data Processing Addendum, with Standard Contractual Clauses and the UK Addendum where applicable Sub-processor list with material-change notification commitments Transfer Impact Assessment template and supplementary measures documentation Penetration test summary letters Security questionnaire responses (SIG Lite, SIG Core, CAIQ) ISMS scope and Statement of Applicability (when ISO 27001 certification is issued) SOC 2 Type II report (when issued) Incident response plan summary Business continuity and disaster recovery summary AI model documentation and evaluation methodology summary EU AI Act provider/deployer responsibility matrix ## 6. Honest Status Statement To restate the rule we apply to ourselves: we do not represent that we hold a certification, attestation, or alignment we do not in fact hold. SOC 2 Type II and ISO/IEC 27001 are in progress . EU AI Act compliance is a forward-looking program keyed to the Act’s phased application dates. Everything described as “operational” is operational today, with controls in place to support it. If you need a status update beyond what is on this page, including current readiness percentages, target dates, or evidence under NDA, contact us. ## 7. Contact Email: legal@falsifind.com (compliance, regulatory, and contract questions) Email: privacy@falsifind.com (privacy and data protection) Email: security@falsifind.com (security and incident response) Mail: Obscurae Intelligence Inc. Attn: Compliance 522 West Riverside Ave., #8054 Spokane, WA 99201 United States FalsiFind is a product of Obscurae Intelligence Inc., a Delaware corporation. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences --- # Terms of Use | FalsiFind URL: https://falsifind.com/legal/terms-of-use Description: The terms governing your use of the FalsiFind website and marketing materials. Platform Solutions Why FalsiFind Resources en Contact Us # Terms of Use The terms governing your access to and use of the FalsiFind marketing website. Effective Date: August 5, 2026 Last Updated: August 5, 2026 These Terms of Use (the “ Terms ”) govern your access to and use of the FalsiFind marketing website at falsifind.com and any subdomains, content, gated downloads, newsletters, and AI chat assistant we make available through that website (collectively, the “ Website ”). The Website is operated by Obscurae Intelligence Inc., a Delaware corporation (“ FalsiFind ,” “ we ,” “ us ,” or “ our ”). By accessing or using the Website, you agree to be bound by these Terms. If you do not agree, do not use the Website. Important scope note. These Terms govern only the Website. Use of the FalsiFind detection platform delivered at app.falsifind.com and api.falsifind.com (the “ Platform ”) is governed by a separate written subscription agreement, order form, and Data Processing Addendum signed between FalsiFind and the customer (collectively, the “ Subscription Agreement ”). To the extent there is any conflict between these Terms and a Subscription Agreement with respect to use of the Platform, the Subscription Agreement controls. ## 1. Eligibility The Website is intended for business and professional use. You must be at least 16 years old to use the Website. If you are accessing the Website on behalf of a company or other organization, you represent that you have authority to bind that organization to these Terms. ## 2. License to Use the Website Subject to your compliance with these Terms, FalsiFind grants you a limited, revocable, non-exclusive, non-transferable, non-sublicensable license to access and view the Website for your internal informational and business evaluation purposes. All rights not expressly granted are reserved. ## 3. Intellectual Property The Website, including its design, layout, text, graphics, images, logos, audio, video, software, code, and the selection and arrangement of those elements, is owned by FalsiFind or our licensors and is protected by United States and international copyright, trademark, patent, trade secret, and other intellectual property laws. FalsiFind , the FalsiFind logo, and Obscurae Intelligence are trademarks of Obscurae Intelligence Inc. You may not use any FalsiFind trademark without our prior written consent. You may not copy, modify, distribute, sell, lease, sublicense, reverse engineer, decompile, or create derivative works from any part of the Website except as expressly permitted by these Terms or by applicable law that cannot be contractually waived. ## 4. Acceptable Use You agree not to: Use the Website in violation of any applicable law or regulation, including export, sanctions, privacy, intellectual property, and securities laws Use any automated means, including scrapers, bots, crawlers, or harvesters, to access, copy, or extract content from the Website, except for indexing by general-purpose search engines in accordance with our robots.txt file Use the Website to train, fine-tune, evaluate, benchmark, or develop any artificial intelligence or machine learning model, including any large language model, foundation model, or generative AI system, in each case without our prior written consent Probe, scan, or test the vulnerability of the Website or any associated system or network, except through our coordinated disclosure process described on our Security page Bypass, disable, or circumvent any security or access-control mechanism Upload or transmit any viruses, malware, or other harmful code Submit false, misleading, infringing, or unlawful content, including in demo request forms, gated content forms, newsletter signups, or AI chat conversations Impersonate any person or entity or misrepresent your affiliation Interfere with or disrupt the integrity or performance of the Website Use the Website to harass, abuse, defame, or harm any other person Use the Website to develop or support a product or service that competes with the Platform ## 5. Forms, Submissions, and the AI Chat Assistant When you submit information through a form on the Website, including demo requests, gated content forms, newsletter signups, or interactions with our AI chat assistant, you represent that the information you provide is accurate and that you have the right to submit it. We may contact you regarding your submission. We process information you submit in accordance with our Privacy Policy . The AI chat assistant generates responses using machine-learning models. Outputs may be inaccurate, incomplete, or out of date, and should not be relied on as legal, financial, regulatory, security, or other professional advice . You should independently verify any information that matters to you before acting on it. You must not submit personal information about other individuals, confidential information of your employer, regulated data (including data subject to GLBA, HIPAA, or sector-specific confidentiality obligations), or any media files for forensic analysis through the chat assistant. The chat assistant is not a substitute for the Platform. Customer content and media. If you submit media or other content to FalsiFind for analysis, you grant FalsiFind a limited, non-exclusive, non-transferable license to use that content solely to perform the requested analysis and to train FalsiFind’s own detection models. FalsiFind deletes such media when that training completes, and in every case within 30 days of submission. FalsiFind does not use customer content for any generative purpose and does not use it to train, fine-tune, or improve any generative model or any third-party foundation model. FalsiFind’s detection models produce detection results and nothing else. Customers who require it may obtain zero-storage processing under the Subscription Agreement, under which media is analyzed in memory, discarded immediately after analysis, and not used for training. To the extent your submissions through any Website form constitute feedback, suggestions, or ideas about FalsiFind or our products, you grant FalsiFind a perpetual, irrevocable, worldwide, royalty-free, fully paid-up, sublicensable, transferable license to use, reproduce, modify, and exploit such feedback for any purpose, without obligation or compensation to you. This license does not extend to personal information, which is governed by the Privacy Policy, and does not extend to media submitted for analysis, which is governed by the preceding paragraph and, where applicable, the Subscription Agreement. ## 6. Third-Party Links and Resources The Website may contain links to third-party websites, services, or resources, including documentation, repositories, research papers, and partner sites. FalsiFind does not control, endorse, or assume responsibility for third-party content. Your use of any third-party website or service is subject to its own terms and policies. ## 7. Disclaimers THE WEBSITE AND ALL CONTENT, MATERIALS, AND FUNCTIONALITY ARE PROVIDED ON AN “ AS IS ” AND “ AS AVAILABLE ” BASIS. TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, FALSIFIND DISCLAIMS ALL WARRANTIES, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, NON-INFRINGEMENT, ACCURACY, COMPLETENESS, AVAILABILITY, AND QUIET ENJOYMENT. WITHOUT LIMITING THE FOREGOING, FALSIFIND DOES NOT WARRANT THAT THE WEBSITE WILL BE UNINTERRUPTED, ERROR-FREE, OR FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS, OR THAT ANY CONTENT, INCLUDING AI CHAT ASSISTANT OUTPUT, WILL BE ACCURATE OR RELIABLE. INFORMATION ON THE WEBSITE ABOUT THE PLATFORM IS FOR GENERAL INFORMATIONAL PURPOSES AND IS QUALIFIED IN ITS ENTIRETY BY THE TERMS OF THE APPLICABLE SUBSCRIPTION AGREEMENT. SOME JURISDICTIONS DO NOT ALLOW THE EXCLUSION OF CERTAIN WARRANTIES, IN WHICH CASE THE EXCLUSIONS IN THIS SECTION APPLY TO THE MAXIMUM EXTENT PERMITTED BY LAW. ## 8. Limitation of Liability TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, IN NO EVENT WILL FALSIFIND OR ITS OFFICERS, DIRECTORS, EMPLOYEES, AGENTS, AFFILIATES, OR LICENSORS BE LIABLE FOR ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, EXEMPLARY, OR PUNITIVE DAMAGES, INCLUDING LOSS OF PROFITS, REVENUE, DATA, GOODWILL, OR OTHER INTANGIBLE LOSSES, ARISING OUT OF OR RELATING TO YOUR USE OF OR INABILITY TO USE THE WEBSITE, WHETHER BASED IN CONTRACT, TORT (INCLUDING NEGLIGENCE), STRICT LIABILITY, OR ANY OTHER LEGAL THEORY, AND WHETHER OR NOT FALSIFIND HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, FALSIFIND’S TOTAL CUMULATIVE LIABILITY ARISING OUT OF OR RELATING TO THESE TERMS OR YOUR USE OF THE WEBSITE WILL NOT EXCEED ONE HUNDRED US DOLLARS (US $100) . THESE LIMITATIONS APPLY EVEN IF A LIMITED REMEDY FAILS OF ITS ESSENTIAL PURPOSE. SOME JURISDICTIONS DO NOT ALLOW THE EXCLUSION OR LIMITATION OF CERTAIN DAMAGES, IN WHICH CASE THESE LIMITATIONS APPLY TO THE MAXIMUM EXTENT PERMITTED BY LAW. ## 9. Indemnification You agree to indemnify, defend, and hold harmless FalsiFind and its officers, directors, employees, agents, affiliates, and licensors from and against any claims, damages, losses, liabilities, costs, and expenses, including reasonable attorneys’ fees, arising out of or relating to (a) your access to or use of the Website, (b) your breach of these Terms, (c) your violation of any law or third-party right, or (d) any content you submit through the Website. ## 10. Privacy Your use of the Website is also governed by our Privacy Policy , which is incorporated into these Terms by reference. Please review it carefully. ## 11. Changes to the Website and Terms We may modify, suspend, or discontinue the Website, or any part of it, at any time without notice. We may also update these Terms from time to time. When we do, we will post the updated Terms here, update the “Last Updated” date, and, for material changes, provide notice through the Website. Your continued use of the Website after the effective date of an update constitutes acceptance of the updated Terms. ## 12. Termination We may suspend or terminate your access to the Website at any time, with or without notice, for any reason, including any breach of these Terms. The provisions that by their nature should survive termination, including Sections 3, 4, 5, 7, 8, 9, 10, 13, 14, 15, and 16, will survive. ## 13. Governing Law These Terms and any dispute arising out of or relating to them or the Website are governed by the laws of the State of Delaware , without regard to its conflict of laws principles. The United Nations Convention on Contracts for the International Sale of Goods does not apply. ## 14. Mandatory Arbitration and Class Action Waiver Please read this section carefully. It affects your legal rights. Agreement to arbitrate. Any dispute, claim, or controversy arising out of or relating to these Terms or the Website, including the existence, scope, validity, breach, termination, or enforceability of these Terms or this arbitration agreement, will be resolved by binding arbitration administered by the American Arbitration Association (AAA) under its Commercial Arbitration Rules and, where applicable, the AAA Consumer Arbitration Rules , except that either party may bring an individual action in small claims court for disputes within that court’s jurisdiction. Seat and procedure. The seat of arbitration is Wilmington, Delaware . The arbitration will be conducted by a single arbitrator. The arbitrator will have authority to award the same remedies that a court could award in an individual action. Judgment on the award may be entered in any court of competent jurisdiction. Class action waiver. YOU AND FALSIFIND AGREE THAT EACH MAY BRING CLAIMS AGAINST THE OTHER ONLY IN AN INDIVIDUAL CAPACITY AND NOT AS A PLAINTIFF OR CLASS MEMBER IN ANY PURPORTED CLASS, COLLECTIVE, OR REPRESENTATIVE PROCEEDING. The arbitrator may not consolidate more than one person’s claims and may not preside over any form of representative or class proceeding. If a court decides that this class waiver is unenforceable as to a particular claim or remedy, that claim or remedy (and only that claim or remedy) will be severed from arbitration and brought in court, and the remainder of this Section 14 will remain in full force. Carve-outs. Notwithstanding the agreement to arbitrate, either party may seek injunctive or other equitable relief in a court of competent jurisdiction in Wilmington, Delaware to protect intellectual property rights, confidential information, or to prevent unauthorized access to the Website or Platform. The parties consent to the personal jurisdiction of those courts for that purpose. Opt-out. You may opt out of this arbitration agreement by sending written notice to legal@falsifind.com within 30 days of first accepting these Terms. The notice must include your name, address, and an unambiguous statement that you wish to opt out of arbitration. Opting out does not affect any other provision of these Terms. ## 15. Export Controls and Sanctions The Website may be subject to US and other export control and sanctions laws. You represent and warrant that you are not located in, organized under the laws of, or ordinarily resident in any country or region subject to comprehensive US sanctions, and that you are not on any US government restricted-party list, including the US Department of the Treasury’s Office of Foreign Assets Control (OFAC) Specially Designated Nationals List or the US Department of Commerce’s Entity List. ## 16. Miscellaneous Entire agreement. These Terms, together with the Privacy Policy and, where applicable, the Subscription Agreement, are the entire agreement between you and FalsiFind regarding the Website and supersede all prior agreements on the subject. Severability. If any provision of these Terms is held to be invalid or unenforceable, the remaining provisions will remain in full force, and the invalid or unenforceable provision will be modified to the minimum extent necessary to make it enforceable. No waiver. Our failure to enforce any provision of these Terms is not a waiver of that provision. Assignment. You may not assign or transfer these Terms or any rights under them without our prior written consent. We may assign these Terms in connection with a merger, acquisition, financing, reorganization, or sale of assets without notice. Notices. Notices to FalsiFind must be sent to legal@falsifind.com or by mail to the address in Section 17. Notices to you may be provided through the Website or, where we have your contact information, by email. Force majeure. FalsiFind is not liable for any delay or failure to perform resulting from causes beyond our reasonable control. Headings. Section headings are for convenience only and do not affect interpretation. ## 17. Contact Email: legal@falsifind.com Mail: Obscurae Intelligence Inc. Attn: Legal 522 West Riverside Ave., #8054 Spokane, WA 99201 United States FalsiFind is a product of Obscurae Intelligence Inc., a Delaware corporation. Making synthetic media risk manageable in real banking environments. Defensible decisions, auditability, and controls. Select language English Français (Canada) العربية Product Voice Detection Image Analysis Video Verification Company Our Approach Resources Contact Legal Privacy Policy Cookie Policy Terms of Use Security Compliance Manage Cookies © 2026 Obscurae Intelligence Inc. All rights reserved. ## Your privacy matters We use cookies that are strictly necessary to run this site, and, only with your permission, privacy-respecting analytics, marketing, and functional cookies. Read our Cookie Policy or manage individual categories below. Accept all Reject all Manage preferences