AI Video KYC Fraud Detection Platform

FrameSentinel is an AI platform for video KYC fraud detection. It detects deepfake identity attacks, replay attacks, face swaps, and video injection in real-time — all through a single API call.

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Why Video KYC Fraud Detection Matters

Video identity fraud detection is critical as attackers use AI to bypass traditional KYC systems. Deepfake KYC detection prevents synthetic identities from passing verification.

300%

Increase in deepfake attacks on video KYC systems since 2023

$4.2B

Annual losses from video identity fraud in financial services

72%

Of traditional KYC systems fail to detect AI-generated video fraud

How Video KYC Fraud Detection Works

FrameSentinel runs 5 AI detection modules in parallel for comprehensive video identity fraud detection

Deepfake KYC Detection

AI neural networks analyze facial micro-expressions and skin texture to detect deepfake identity attacks in video KYC sessions.

Replay Attack Detection

Identifies pre-recorded videos and screen recordings being used to bypass live video identity verification.

Face Swap Detection

Detects real-time face replacement attacks during video KYC where attackers overlay a stolen identity.

Video Injection Detection

Identifies virtual cameras and video stream injection tools that bypass the device camera in KYC flows.

Video KYC Fraud Detection Performance

99.7%

Deepfake Detection Accuracy

<2s

Processing Time

5

Parallel Detection Modules

15

Frames Analyzed Per Video

Video KYC Fraud Detection FAQ

What is video KYC fraud detection?

Video KYC fraud detection is the process of using AI to analyze video identity verification sessions and detect manipulation attempts including deepfakes, replay attacks, face swaps, and video injection.

How does FrameSentinel detect video identity fraud?

FrameSentinel runs 5 parallel AI detection modules on every video: deepfake detection, replay attack detection, face swap detection, injection detection, and metadata integrity analysis. Results are returned in under 2 seconds.

What is deepfake KYC detection?

Deepfake KYC detection identifies AI-generated or manipulated faces in video identity verification sessions. FrameSentinel uses neural networks to analyze facial micro-expressions, skin texture, and temporal consistency to detect deepfake identity attacks.

How fast is video KYC fraud detection with FrameSentinel?

FrameSentinel processes video KYC fraud detection in under 2 seconds, analyzing up to 15 frames with all 5 detection modules running in parallel.

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200 free video analyses per month. No credit card required.

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