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Liveness Detection

Biometric liveness refers to the use of computer vision technology to detect the genuine presence of a living user, rather than a representation such as a photograph or a mask. Presentation attack detection (PAD) technologies can utilize active or passive detection methods. Typically associated with facial recognition, liveness can also be applied to voice recognition to distinguish present speakers from audio recordings, and finger or palm biometrics such as by detecting blood flow, and even iris recognition. Find liveness detection solutions.

 

2026 Injection Attack Detection Market Report and Buyer’s Guide

This 50-page 2026 Injection Attack Detection Market Report and Buyers Guide from Biometric Update and Goode Intelligence explores how injection…

 

2025 Deepfake Detection Market Report and Buyers Guide

Information for technology vendors and buyers This 58-page 2025 Deepfake Detection Market Report and Buyers Guide from Biometric Update and…

 

2025 Face Liveness Market Analysis & Buyer’s Guide

This report by Biometric Update and Goode Intelligence provides a detailed analysis of the face biometric liveness detection market, three-year forecasts and a guide for buyers.

 

Five vendors clear iBeta PAD Level 2 as biometric security benchmark rises

TWYN T4ISB, Suprema, PIPO Resource, Legitimuz and ZOLOZ have recently completed iBeta Level 2 Presentation Attack Detection (PAD) evaluations, with…

 

Latest round of BixeLab biometrics evaluations include Level 3 PAD, IAD tests

A pair of facial recognition providers have passed Level 3 independent biometric Presentation Attack Detection (PAD) and Injection Attack Detection…

 

AI fraud pushes identity defenses toward IAD and continuous verification

AI-powered fraud can defeat biometrics and liveness detection. It can defeat cryptographic protections and humans in the loop, and it…

 

RedShift targets deepfake calls at the IP voice layer

RedShift Networks has extended the capabilities of its voice security platform to provide real-time threat mitigation and centralized security management…

 

Resemble AI expands multimodal deepfake detection approach for new accuracy highs

The field of deepfake detection has a problem: Detectors are much less effective on deepfakes created by generators newer than…

 

Why deepfake detection is becoming trust infrastructure

For many, the word “deepfake” still has a twinge of novelty about it – a hint of science fiction. But…

 

Secured Signing adds continuous identity checks to remote notarization

Secured Signing has introduced repeated facial identity checks and deepfake detection during Remote Online Notarization (RON) and live video signing…

 

Scam.ai launches on-device deepfake detection for video calls

Not having to worry if someone is real on a video-call on the device most people carry around with them…

 

Fraunhofer develops real-time deepfake detector for video calls

As AI‑generated fraud rises, and video‑based scams seek out high-value targets, the fightback is afoot. The Fraunhofer Institute for Secure…

 

EU AI Act enforcement reshapes Europe’s technology strategy

Most new technologies have a “wild west” period, in which the push for innovation puts products into the market before…

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