Fraud Detection
Deepfake Detection Use Cases
Protect your organization against synthetic identity fraud and AI-generated impersonation
KYC Identity Verification
Verify customer identity during account opening with deepfake-resistant video verification.
Video Call Authentication
Ensure participants in video calls are real humans, not AI-generated avatars or deepfakes.
Remote Onboarding Security
Secure digital onboarding processes against synthetic identity fraud and impersonation.
Government ID Verification
High-assurance identity verification for government services, voting, and secure access.
Financial Transaction Auth
Add deepfake detection to high-value transaction authorization workflows.
Media Authenticity
Verify authenticity of video content for news organizations, legal proceedings, and evidence.
Built for High-Stakes Verification
Our deepfake detection technology serves organizations where identity verification failures have significant consequences — financial loss, security breaches, or regulatory penalties.
Learn How It Works →Banking & Financial Services
Protect against synthetic identity fraud in account opening, loan applications, and high-value transactions.
Government & Public Sector
Secure identity verification for citizen services, benefits distribution, and secure facility access.
Insurance
Prevent claims fraud with verified video submissions and remote assessment authenticity.
Enterprise Security
Protect executive communications, secure remote access, and verify contractor identities.
Built for Enterprise Scale
Deploy deepfake detection at scale with enterprise-grade security, compliance certifications, and flexible integration options.
API Response Example
{
"verdict": "real",
"confidence": 0.97,
"analysis": {
"spatial_coherence": 0.94,
"temporal_consistency": 0.98,
"signal_quality": "high"
},
"processing_time_ms": 847
}Simple JSON response with verdict, confidence score, and detailed analysis metrics.
Fraud Detection FAQ
Common questions from banks, government, and enterprise security teams
How does Circadify integrate with existing KYC/onboarding systems?
We provide REST APIs and SDKs that integrate with your existing identity verification workflow. The integration adds a deepfake detection step that analyzes live video or recorded content, returning a real/fake verdict with confidence scores.
What is the accuracy rate for deepfake detection?
Our biological signal analysis is designed to detect across different deepfake generation methods. Performance varies by video quality and conditions -- we provide detailed metrics during your evaluation.
Can the system handle high-volume verification?
Yes, our cloud infrastructure is designed for enterprise scale with auto-scaling capabilities. We support millions of verifications per month with consistent latency. On-premise deployment is available for organizations with data residency requirements.
What compliance certifications do you have?
Our infrastructure is SOC 2 compliant with comprehensive audit logging. We support GDPR requirements and can accommodate specific regulatory needs for financial services and government applications.
How does this differ from traditional liveness detection?
Traditional liveness detection checks for basic signs of life (blinking, head movement). Our approach analyzes physiological signals that are present in real humans but absent in synthetic media -- a fundamentally different and more robust approach to detecting AI-generated content.
Related Pages
Request A Demo
See how contactless vitals can transform your healthcare delivery.