Forensic-Grade Deepfake Defense for Financial Institutions
Protect your digital onboarding from AI-generated identity fraud with multi-layered forensic analysis.
Built for banks, NBFCs, fintechs, and regulated enterprises.
Calculate RiskHigh-fidelity scanning across spatial, temporal, and physiological domains.
Move beyond 'Yes/No'. Receive detailed forensic evidence for every decision.
Seamlessly integrate human-in-the-loop review for high-risk edge cases.
Standard liveness checks detect motion. We detect Life. Modern GAN-generated deepfakes bypass traditional Video KYC systems by mimicking facial movement without biological authenticity.
Our AI analyzes imperceptible color changes in facial skin to detect real blood-flow patterns using the camera sensor — a signal deepfakes cannot replicate.
A multi-model architecture combining temporal behavior, spatial inconsistencies, and frequency-domain analysis to expose synthetic identities with high confidence.
On average, ~2% of Video KYC attempts contain synthetic identity fraud. Most institutions never detect it.
Example:
100,000 monthly Video KYC checks
≈ 2,000 fraudulent identities likely bypassing detection.
Fremner is a security-focused technology company addressing the growing risk of deepfake-driven financial fraud. Our platform integrates seamlessly into existing verification workflows, delivering proactive protection and automated compliance for regulated institutions.
Rebuilding Trust in the Era of Synthetic Media
Fraud has evolved, and your security should too. We provide the tools to ensure your interactions are always authentic. Because one fake face can cost millions.
Email: info@fremner.com
Location: Pune, India