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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.

 

Oz Forensics adds front-end customization features to biometric Web SDK

Oz Forensics has enhanced its Web SDK for face biometrics and liveness detection to allow customers to customize their customer…

 

iProov face biometrics and liveness added to Ping Identity enterprise platform

iProov, a global provider of face biometrics, has announced a partnership with Ping Identity, an enterprise digital security provider. Through…

 

AuthenticID, ROC.ai execs urge layered biometrics and lean into AI to counter fraud

Eliminate manual reviews of identity verification attempts and select experts in biometric fraud prevention to stay ahead of the threat…

 

US security agencies tout biometrics, liveness detection to defend against deepfakes

Threats from deepfakes are exponentially increasing and organizations must be ready to introduce new technologies to tackle them, including biometric…

 

ROC.ai passes Level 2 PAD assessment from iBeta without missing an attack

Presentation attack detection software from Rank One Computing has passed a compliance assessment to ISO/IEC 30107-3 Level 2 by iBeta…

 

PixLab adds passive deepfake detection to biometric authentication framework

Responding to the growth of deepfake attacks, image-analysis firm PixLab has developed software for passive liveness detection that identifies fraudulent…

 

Deepfake image scams rise; experts say better detection needed for darker skin

Deepfake fraud’s still rising, with the latest example uncovered in Hong Kong. Meanwhile, insiders warn that detection tools must improve…

 

Presentation attacks the dominant vector for ID document fraud; ID R&D urges FIDO update

Nine out of ten document-based fraud attacks are presentation attacks, according to research from ID R&D that highlights the importance…

 

Here’s the newest camera hack fraudsters are using to beat facial recognition

By Stuart Wells, Chief Technology Officer at Jumio As organizations have tried to stay ahead of cybercriminals, faces and other…

 

Align liveness detection with cybersecurity best practices to stop generative AI

Generative AI is being used to fuel a range of fraud attacks, from fake kidnappings to digital injection attacks against…

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