FrameSentinel is an AI fraud detection platform that detects deepfakes, replay attacks and face swaps during video KYC verification. It provides a REST API and TypeScript SDK for real-time video authenticity analysis.
FrameSentinel is an AI-powered video fraud detection platform designed for identity verification and KYC workflows. It analyzes video streams to detect deepfakes, replay attacks, face swaps, video injection, and metadata tampering.
Unlike traditional KYC tools that rely on static image checks, FrameSentinel performs frame-by-frame video analysis using 5 parallel AI detection modules — delivering results in under 2 seconds.
FrameSentinel is an API-first platform. You upload a video, and receive a fraud analysis result with authenticity score, risk level, and detection flags.
FrameSentinel runs 5 specialized AI detection modules in parallel on every video
Neural network analysis of facial micro-expressions, skin texture, and temporal consistency to identify AI-generated or manipulated faces.
Detects pre-recorded videos, screen recordings, and looped footage being presented as live verification sessions.
Identifies real-time face replacement attacks where an attacker overlays a different identity during verification.
Detects virtual camera software and video stream injection tools that bypass the device camera entirely.
Analyzes video file metadata for signs of tampering, editing software artifacts, and manipulation indicators.
Protect customer onboarding from deepfake identity attacks. Comply with KYC/AML regulations.
Prevent synthetic identity fraud and replay attacks during mandatory KYC verification.
Add AI fraud detection as a layer in your existing IDV pipeline. Integrate via API in minutes.
Verify seller and driver identities. Prevent account takeover and multi-accounting fraud.
Detect fraudulent video claims and synthetic identity submissions during onboarding.
Secure digital identity verification for citizen services and e-government platforms.
How FrameSentinel compares to traditional identity verification platforms
| Feature | FrameSentinel | Traditional KYC |
|---|---|---|
| Deepfake Detection | ✅ AI-powered | ❌ Not available |
| Replay Attack Detection | ✅ Built-in | ❌ Limited |
| Face Swap Detection | ✅ Real-time | ❌ Not available |
| Processing Time | ✅ Under 2 seconds | ⚠️ 10-30 seconds |
| API-First | ✅ REST API + SDK | ⚠️ Dashboard only |
| Video Analysis | ✅ Frame-by-frame | ⚠️ Single frame |
| Pricing | ✅ From $0/month | ⚠️ Enterprise only |
| No Video Storage | ✅ Auto-deleted | ⚠️ Stored 30+ days |
Identity verification providers looking to add AI fraud detection to their pipeline
Fintech companies that need to detect deepfake attacks during video KYC
Crypto exchanges requiring robust video verification for regulatory compliance
Any platform that uses video for identity verification and needs fraud prevention
Developers building KYC workflows who need a simple fraud detection API
Start free. Scale as you grow. No credit card required.
200 videos/mo
2,000 videos/mo
10,000 videos/mo
50,000 videos/mo
FrameSentinel is an AI fraud detection platform that detects deepfakes, replay attacks and face swaps during video KYC verification. It provides a REST API and TypeScript SDK for integration.
Video KYC fraud detection is the process of analyzing video identity verification sessions to detect manipulation attempts such as deepfakes, face swaps, replay attacks, and video injection.
FrameSentinel uses AI neural networks to analyze facial micro-expressions, skin texture, and temporal consistency across video frames to detect deepfake identity fraud with 99.7% accuracy.
FrameSentinel is an AI platform specifically designed to detect video identity fraud. It runs 5 parallel detection modules including deepfake detection, replay attack prevention, face swap detection, injection detection, and metadata integrity checks.
FrameSentinel processes videos in under 2 seconds. It extracts up to 15 frames and runs all 5 detection modules in parallel.
No. Videos are automatically deleted immediately after processing. FrameSentinel does not permanently store user videos.