Behavioral Biometrics

Behavioral biometrics measures the way a person physically interacts with a device rather than what they know or what they possess. Signals include keystroke dynamics (the timing and pressure of each key press), mouse movement patterns (speed, curvature, and micro-corrections), touchscreen gestures (swipe angle, finger area, pressure), and accelerometer data on mobile devices.

These signals are collected passively during a session and compared against a baseline profile built over time. Deviations from the expected pattern may indicate that someone other than the account owner is operating the device, or that an automated script is driving the interaction.

Because the analysis runs continuously in the background, behavioral biometrics can detect threats mid-session, not just at the login gate. It adds a layer of assurance without requiring the user to take any explicit action.

For CIAM, behavioral biometrics strengthens fraud detection during customer sessions by providing a passive, ongoing identity signal that complements traditional authentication methods.