Definition: Behavioral biometrics, also known and referred to here as behavioral intelligence, measures and uniquely distinguishes patterns in the behavior of digital users.
Behavioral intelligence are the habits and proclivities humans develop over time, given their interactions with different devices. The related techniques used to capture and evaluate behaviors can be extremely effective in evaluating whether the correct individual is interacting with an account, or whether the individual’s behavior is consistent with that person’s normal patterns as opposed to those of a fraudster.
Signals include keystroke dynamics, swipe and touch analysis, mouse interactions and device handling. They are distinct from physical biometrics, which involve measuring and identifying unique human attributes such as fingerprints, facial patterns, iris characteristics and voiceprints.
With the increasing use of digital transactions, human-device interaction patterns are becoming an essential tool for businesses and organizations to build trust and reduce fraud.
Behavioral intelligence passively helps verify users by analyzing the way they interact with a website or mobile application. Every user has individual patterns that indicate their unique ways of browsing a website and using an app—and these patterns provide a strong foundation for establishing trust.
Behavioral intelligence improves the ability to recognize trusted digital users and detect suspected fraud. This intuitive, and non-intrusive, technology supports more accurate customer recognition to allow organizations across multiple industries to:
Uncover user intent from login to logout with real-time behavioral and device intelligence
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