Fintech platforms add selfie biometrics to protect against payments fraud
Paravision is providing face biometrics and liveness detection to an online payment platform, while Veridas has formed a partnership to…
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.
Paravision is providing face biometrics and liveness detection to an online payment platform, while Veridas has formed a partnership to…
By Henry Patishman, Executive VP of Identity Verification Solutions at Regula In cybersecurity, where the battle between defenders and attackers…
India is facing a proliferation of deepfakes that could spread misinformation during elections. More importantly for the biometrics industry, deepfakes…
The information that people present as evidence of their identity claims is widely available enough on the internet to undermine…
Ideas for detecting deepfakes are popping up among startups and attracting significant venture funding. Just a year ago, most news…
Identity verification provider ComplyCube, announced it has received the Age Check Certification Scheme (ACCS) Technical Requirements for Age Check Systems…
A biometric authentication platform giving users control over their data has been developed by Portugal-based Youverse to help preserve consumer…
Biometrics can protect against the fraud threat of generative AI and deepfakes, but can also be defeated by them if…
The packed election year of 2024 is ramping up and so are political attacks using deepfakes. U.S. President Joe Biden…
The latest threat intelligence report from iProov addresses the algorithmic elephant in the room, as implied by its subtitle: “The…