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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.

 

Deepfake detection partnerships span AI, academia, C-suite and celebrity content

The deepfake threat continues to spur partnerships, as providers aim to refine their technology in the face of increasingly sophisticated…

 

Microsoft signs up Australian employee screener for biometric liveness detection

Microsoft face biometrics and liveness detection have been integrated for facial authentication by employee identity verification provider WorkPro. The U.S….

 

1Kosmos passes all attacks to complete PAD Level 2

A release from identity proofing and passwordless authentication firm 1Kosmos says it has successfully completed Presentation Attack Detection (PAD) Level…

 

Docusign snags IDV deal with UK legal platform

E-signature platform Docusign will offer its biometric ID verification service to UK-based X-Press Legal Services, a provider of regulated property…

 

From hiring to management, deepfake scams target remote workplace

Companies large and small are becoming increasingly targeted by AI-generated personas such as fake job applicants and scammers using deepfake…

 

OCR Studio adds face liveness, more document types in SDK update

OCR Studio has updated its flagship software development kit with new biometric security features, expanded identity document and record support,…

 

Europol publishes guidance on preventing presentation attacks

Europol has published a new report on biometric recognition, focusing on presentation attack detection (PAD) methods that may be used…

 

The deeper harms of deepfakes: with no control over likeness, potential for abuse is huge

Typically, when discussing the risks presented by deepfakes created using generative AI tools, the warnings are about how you might…

 

Accops, pi-labs integration adds deepfake detection to facial authentication

Remote access provider Accops and pi-labs have announced an integration of pi-labs’ deepfake detection algorithms with the Accops BioAuth facial…

 

Reality Defender secures new investments, wins innovation challenge

Reality Defender has announced new strategic investments from BNY, Samsung Next and Fusion Fund, supporting continued development in deepfake detection….

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