Veridium adds behavioral factor to enterprise mobile biometric platform
Veridium has announced the launch of its new behavioral biometric capability for mobile biometric authentication, which uses motion detection and machine learning to generate confidence scores, to generally availability to improve the security of enterprise accounts.
Veridium InMotion’s user behavior analytics technology is available through the software-only VeridiumID smartphone platform, increasing the reliability of native biometrics for authentication by pairing behavioral data captured on the device with physical biometrics, according to the announcement.
“As data breaches and insider threats increasingly plague the enterprise, businesses are in need of a strong solution that can better recognize and verify users’ identities,” says Veridium Head of Product Development Ionut Dumitran. “With user behavior analytics, a malicious actor that has someone’s phone and their fingerprints – or even similar facial features, like a twin might – will have an extremely difficult time trying to replicate their unique mannerisms. By tapping into the power of behavioral biometrics, Veridium InMotion can help businesses diminish the risk of identity as an attack vector and strengthen authentication in a way that is both transparent and frictionless for the user.”
Veridium InMotion does not store personal information, but only information from the smartphone’s accelerometer and gyroscope once the user has initiated the biometric authentication process. One a user has completed roughly 10 authentications, Veridium’s machine learning technology creates a model, which is continually refined, to provide the confidence score. The confidence score can be compared against risk factors to trigger step-up authentication through channels such as SMS, phone or email.
U.S. consumers want to expand their use of biometrics for account access into the workplace, according to a survey Veridium released earlier this month.