Behavioral biometrics authentication represents a paradigm shift in identity verification, emphasizing the unique patterns and tendencies inherent in an individual's behavior. In contrast to traditional biometric methods that rely on static physical characteristics (like fingerprints or facial features), behavioral biometrics captures and analyzes dynamic behaviors. These can range from how a person types on a keyboard to how they move a mouse, sign their name, speak or even walk.

Moreover, behavioral biometric authentication utilizes biometric data to confirm a user's identity, measuring physiological and behavioral traits and comparing them with stored data. Physiological biometrics involve physical traits like fingerprints or face structures, while behavioral biometrics measure unique patterns in behavior using AI and ML.

Our latest whitepaper explores the disparities, accuracy and security in behavioral biometrics.

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