HID vs Thales vs deepidv: the multimodal assurance question
HID, Thales, and deepidv compared on multimodal assurance: hardware-rooted credential estates versus a layered verification engine, and when each wins.
Oct 19, 20265 min
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Master liveness detection for 2026. Learn how to stop face swaps, injection attacks, and synthetic spoofs with multi-modal biometric assurance.
Liveness detection is undergoing its most significant transformation. In 2026, simple "active" liveness (asking a user to blink) is no longer sufficient to stop AI-generated deepfakes. This guide covers the essential components of a modern liveness stack.
The industry has moved toward passive liveness, which requires no action from the user. Passive liveness is not only more user-friendly but also harder to script. By analyzing skin texture and 3D depth, systems can identify a real human presence.
The most dangerous attack vector in 2026 is the injection attack. Instead of holding a screen in front of a camera, the attacker injects synthetic video data directly into the app. To stop this, deepidv utilizes hardware-level integrity checks.
Suggested read: Deepfake Attacks on Liveness Detection Surge by 311%
Active liveness requires the user to perform an action. Passive liveness happens in the background without user intervention.
Deepfakes can easily pass active liveness checks. However, they struggle with passive multi-modal forensics that analyze light interaction.
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