Featurespace reveals Adaptive Behavioral Biometrics to resolve digital fraud attacks

Monday 3 June 2019 10:50 CET | News

Featurespace has introduced Adaptive Behavioral Biometrics, which aims to detect and prevent fraud during customer onboarding and digital sessions.

The solution uses in-session behavioural data collected from digital channels in real time. As there is no historical information to accurately determine if an applicant is genuine or a criminal, digital customer onboarding presents a significant challenge for banks, insurers, and other financial institutions. In addition, these organisations are also bombarded with new threats to existing customers, including malware, account takeover, and man-in-the-middle and phishing attacks.

Adaptive Behavioral Biometrics models are available through the ARIC Fraud Hub, and track user-specific features collected ahead of a transaction. The models self-learn from each interaction, aiming to produce a unique session fingerprint that indicates an individual users usual or unusual behaviour. It also provides fraud analysts with an easy-to-understand visual profile, which detects phishing and malware activity generated by genuine customers.

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Keywords: Featurespace, Adaptive Behavioral Biometrics, fraud, attacks, digital channels, fraud prevention, customer onboarding, behavioural data, banks, insurers, financial institutions, malware, account takeover, phishing
Countries: World

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