How does FalsiFind fit into a high-velocity onboarding flow?

The document analysis endpoint returns a risk score in under 500ms and can run in parallel with your existing KYC checks, adding no user-visible latency. You can act on the score synchronously (hold for review) or asynchronously (flag for batch review after approval).

We already use an IDV vendor. Does FalsiFind replace or complement it?

FalsiFind complements your existing IDV vendor. IDV platforms verify liveness and identity document authenticity at a high level. FalsiFind adds deepfake-specific forensics — generative model fingerprints, frequency-domain anomalies — that IDV platforms aren't built to detect.

How do we handle false positives without hurting conversion?

Risk scores are returned with confidence thresholds so you can route borderline cases to enhanced review rather than declining. In production, false positive rates are below 0.1%, meaning fewer than 1 in 1,000 legitimate applications get flagged.

What does partner bank due diligence typically require?

Most partner banks want to see documented fraud controls, evidence of synthetic identity detection, audit-ready reporting, and SOC 2 alignment. FalsiFind evidence bundles directly address all of these requirements with cryptographic proof of detection methodology.

Can we run FalsiFind in our own cloud environment?

Yes. FalsiFind supports single-tenant cloud deployments and on-prem installations for organizations with strict data residency requirements. The API surface is identical across deployment models.

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.

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

$2.5Bprojected 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.

POST /v1/verify/document
Content-Type: multipart/form-data

{
  "image": "<base64>",
  "checks": ["manipulation", "synthetic"]
}

Integrations

REST APIGraphQLWebSocketgRPC

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.

ws://api.falsifind.com/v1/stream/voice

// Real-time voice analysis
socket.on('detection', (result) => {
  if (result.synthetic > 0.9) 
    escalateToFraudTeam(callId);
});

Integrations

TwilioVonagePlivoCustom 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.

// Webhook payload example
{
  "event": "detection.synthetic",
  "confidence": 0.97,
  "session_id": "usr_abc123",
  "timestamp": "2024-01-15T10:30:00Z"
}

Integrations

SlackPagerDutyJiraSegment

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 under 200ms 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 with < 200ms average response time
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 Data Retention

In-Memory Processing

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

< 0.1%

False Positive Rate

Keep customer acquisition costs low

100%

Partner Audits Passed

Documentation ready for bank partners

Frequently Asked Questions

What fintechs and neobanks ask before deploying deepfake detection.

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

FinTech & Neobanks

The FinTech Threat Landscape

Instant Account Opening Fraud

Social Engineering on Support Teams

Synthetic Identity at Scale

Detection Capabilities

API-First Architecture

Real-Time Streaming

Webhook Automation

How It Works in Practice

Instant Account Opening with Fraud Prevention

The Attack

Without FalsiFind:

With FalsiFind:

Customer Support Authentication

The Attack

Without FalsiFind:

With FalsiFind:

Partner Bank Compliance Documentation

The Attack

Without FalsiFind:

With FalsiFind:

Built for FinTech Integration

Architecture Overview

Examination-Ready Compliance

SOC 2 Type II

ISO 27001

GDPR Compliant

Growth + Security Metrics

Frequently Asked Questions

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

Ready to Protect Your Growth?

Schedule a Demo

FinTech White Paper

Explore the API

FinTech &
Neobanks