Passive liveness detection refers to the use of biometric technology that automatically confirms a user's presence without requiring them to take deliberate actions, such as blinking or moving. It uses AI to analyze the user's presented biometric data for any discrepancies, protecting against spoofing attacks without disrupting the user experience.
Use case/ examples for passive liveness detection
Frictionless onboarding: Authenticating users through real-time, seamless facial analysis without requiring the user to take prompted actions like blinking or head movement.
User experience optimization: Reducing abandonment during verification by eliminating active liveness prompts while maintaining security.
Real-time verification: Confirming physical presence through automated analysis of a single image capture during identity verification, thus preventing the use of deepfake or spoofed selfie attacks in remote identity checks.
