Passive analysis confirms a real person is present without asking them to blink, turn their head, or follow any instructions. Autocapture and on-device immediate feedback keep the experience smooth for legitimate users across global demographics.

Face liveness meets iBeta Level 2 Presentation Attack Detection (PAD) standards, defending against 3D masks, cutouts, screen replays, and printouts.The system detects virtual cameras, emulators, and replay injection attempts, GenAI artifacts and deepfake manipulations.

The system confirms a physical document was in front of the camera, not a reproduction or digital proxy. Screen detection identifies documents displayed on a mobile or desktop screen rather than physically presented. Photocopy detection evaluates whether the submission is a color or black-and-white reproduction. A third layer analyzes every document for generative AI manipulation, deepfake artifacts, and synthetic identity signals.

Models are continuously hardened by Microblink’s Fraud Lab, which red-teams detection systems with synthetic IDs before real attacks reach production.

Proof of Possession, Confirmed at Capture
Payment card liveness confirms a real card was physically present during image capture. The system detects screen presentations and photocopies, creating defensible proof of possession at the point of transaction initiation. This protects against card-not-present fraud and deters first-party chargeback abuse, giving organizations concrete evidence when disputes arise.

Organizations apply it to BNPL onboarding, card-on-file enrollment, account funding, high-value transaction step-ups, and chargeback defense.