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.
The Threat Landscape
Three deepfake attack vectors driving significant fraud losses in banking today.
Voice-Cloned Account Takeover
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
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
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.
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
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
Proven Results
Financial institutions trust FalsiFind to protect high-value transactions and customer interactions.
Regional bank blocked voice-based ATO attempts over 12 months
Across voice, image, and video analysis in production
Minimal customer friction while maintaining security
Frequently Asked Questions
What banks and financial institutions ask before deploying deepfake detection across customer channels.
Key terminology
Definitions of the threats and defenses discussed on this page.
Ready to Protect Your Institution?
Join forward-thinking banks already using FalsiFind to prevent deepfake-enabled fraud and maintain regulatory compliance.