Continuous user recognition

Anomalies and deviations in a user’s normal behavior consistent with known high risk behavioral attributes such as abnormal navigation within an application, hesitation, the presence of remote access tools, copy and paste activity, typing cadence, an active phone call during a session, and hundreds more are used to differentiate between a genuine user, a fraudster, or a genuine user under duress user during a session.

Individuals’ needs and behaviors can change slowly or quickly depending on their purpose, need, or desire. These changes are reflected in our analysis, and based on the contextual data, BioCatch’s Continuous Behavioral Sequencing methodology can most accurately determine if these changes are legitimate, permanent, or fraudulent and provide highly accurate risk scores specific to that user session.

Continuous Behavioral Sequencing

Behavioral data science analyzes more than 300 unique user actions and cognitive patterns.