Glossary term
Liveness Detection
Definition
Liveness detection verifies that biometric input comes from a physically present, live human rather than a photo, recording, mask, or digital replay. Active liveness asks the user to perform actions (blink, turn); passive liveness analyzes texture, depth, and micro-movement without user interaction. Liveness spoofing is the practice of defeating these checks with deepfakes or injection attacks.
Why it matters for financial institutions
Liveness checks are the backbone of remote onboarding, yet real-time face-swap and re-enactment tools can now perform the requested blinks and head turns on demand, and injection attacks bypass the camera entirely. Institutions that treat a passed liveness check as proof of authenticity are exposed to exactly the fraud the check was meant to prevent.
How FalsiFind addresses it
FalsiFind complements liveness systems by analyzing the media itself for generation artifacts. Even when a deepfake performs the liveness challenge correctly, the synthetic face it presents carries detectable traces — so the swap is caught even though the "liveness" behavior looks right.