A passive liveness check is an advanced security feature that detects whether a face in an image or video belongs to a real, live person rather than a spoof attempt using photos, deepfakes, or masks.
Unlike active liveness detection, which requires users to perform actions (e.g. blinking or turning their head), passive liveness works silently in the background without user interaction. It analyses subtle facial characteristics, light reflections, and texture details using AI and biometric algorithms to confirm authenticity.
This enhances security while ensuring a seamless user experience, making identity verification efficient and fraud-resistant.