Detect and block AI-powered faces, forged documents, and voice/video spoofs in real-time with deep learning–based detection models.
Multi-layered AI techniques that uncover even the most sophisticated synthetic media using spatial, temporal, and semantic analysis.
3D facial landmark mapping + head pose estimation
CNN-based classifiers + GAN fingerprint detection
Temporal sequence modeling with RNNs
Wavelet transforms + Fourier analysis
Proven on global datasets and real-world onboarding flows
>99% detection rate on benchmark synthetic media datasets
Trained on 1M+ real vs synthetic samples across geographies
Continuous learning to adapt to evolving deepfake techniques
Our deepfake detection system runs a full battery of tests to ensure you're onboarding real users — not AI-powered identities.
Why it matters: Prevents static photos/deepfake videos
Why it matters: Catches celebrity/borrowed identities
Why it matters: Blocks pre-recorded media attacks
Why it matters: Flags synthetic faces from AI tools
A fraudster uses deepfake technology to replace their face with a celebrity’s image during a live KYC verification video call.
An AI-powered ID is submitted with a forged name and mismatched photo, bypassing basic document checks during customer onboarding.
A fraudster plays a pre-recorded facial animation mimicking real-time movements to mislead liveness detection in a video verification process
An attacker uses an AI-cloned voice to impersonate a customer during support calls, attempting unauthorized access to financial services.
Prevents synthetic fraud in onboarding and ongoing verification
Strengthens defenses across every digital identity touchpoint
Ensures compliance and authenticity in remote or high-value workflows
Detect face swaps and voice spoofs during remote KYC verification. Prevent forged ID submissions in loan and account onboarding.
Secure digital ID programs (Aadhaar, SingPass, Nafath, etc.) from deepfake misuse. Strengthen trust in remote citizen onboarding and benefits distribution.
Stop video injection attacks during eKYC video calls. Block synthetic identities from entering payment ecosystems.
Verify claimant identity during video-based claim settlements. Catch manipulated documents used for fraudulent policy claims
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