ID R&D passive biometric facial liveness integrated by Hive for enterprise onboarding

Digital identity company Hive has selected passive facial liveness biometrics from ID R&D to integrate with its Modern Identity Platform for frictionless fraud detection and reduced customer abandonment.

Hive’s platform provides end-to-end digital identity verification, authentication and lifecycle management to minimize risk, prevent data breaches, and reduce account takeovers while boosting conversions and user experience, according to the announcement. The company offers a comprehensive biometric solution as a cloud-based service for AML and KYC regulations, black list exclusions, and other regulations for enterprises and small businesses in a range of industries.

ID R&D’s ISO/IEC 30107-3 compliant IDLive Face is being integrated with the platform to further reduce fraud risk during onboarding and in subsequent interactions without increased user effort.

“The team at Hive is passionate about helping companies implement solutions that quickly make a positive impact on the way they engage, serve and protect customers,” comments Hive Co-founder and CTO Yuriy Znatokov. “Our goal is to deliver comprehensive security without compromising usability and ID R&D’s passive facial liveness is an important piece of our offering.”

Hive was recently named to the Mastercard Lighthouse Program’s Spring class for 2020.

“ID R&D’s passive liveness detection differs from other solutions on the market in that it doesn’t require users to do anything at all — no blinking, head turning, following a dot on the screen or positioning your face within multiple frames,” says Steve Cook, Head of Global Business Development for ID R&D. “The result is a frictionless user experience, higher conversions during onboarding, and stronger security.”

Adoptions of ID R&D’s passive facial biometric liveness have only accelerated since the company announced it had passed iBeta’s standards compliance testing at the beginning of 2020.

Article Topics

authentication  |  biometric liveness detection  |  biometrics  |  digital identity  |  facial recognition  |  fraud prevention  |  ID R&D  |  identity verification  |  passive facial liveness