iProov Liveness Detection is a biometric face-capture technology that determines whether a remote user is a real, live person during identity verification and authentication workflows. The product offers two tiers of liveness assurance: - Express Liveness™: A low-friction, near-instant face capture that uses multi-frame analysis to detect spoofs presented to the camera (2D/3D masks, photos, replayed videos) and attacks injected into the system (emulators, virtual cameras, man-in-the-middle attacks). - Dynamic Liveness™: A higher-assurance mode using patented Flashmark™ technology, which transmits a unique color sequence to the user's device screen. The reflected light confirms the individual is physically present and authenticating in real time, providing protection against AI-generated deepfake attacks. The underlying system analyzes signals from both imagery and the device to detect spoofing attempts. A continuous feedback loop driven by real-time monitoring, threat intelligence, and red-team research updates the AI models to address novel and emerging threats without disrupting end users. Key characteristics include: - Passive user experience requiring only face alignment — no cognitive challenges such as nodding or head turns - 98% completion rate in production with an average of 1.08–1.22 attempts to pass - Active bias mitigation through diverse training datasets - WCAG 2.2 AA and Section 508 accessibility compliance Use cases span user onboarding, authentication, identity recovery, MFA, digital identity, and visas/immigration. Certifications include ISO/IEC 30107-3, SOC 2 Type II, eIDAS Level of Assurance High, iBeta Level 1 & 2, iRAP, and testing by the UK Home Office, Singapore Government, Australian Government, and US Department of Homeland Security.