Behavioural Biometrics is the discipline of study related to the measure of uniquely identifying and measurable patterns in human activities. The term diverges by physical biometrics, which involves innate human characteristics (for example, fingerprints, face, or iris).

Which are these identifying and measurable patterns?

  • Device focused behavioural signals: typing, mouse usage, handling, gait, velocity analysis, and device characteristics. These elements focus on how the user physically interacts with a device, the service, and the features that distinguish that specific endpoint.
  • Contextual anomaly signals such as geo-location, Bluetooth, or WiFi networks: these elements characterize the environment where the user usually operates.
  • Service-related behavioural signals: the way and inhabits the user accesses the application. Some examples could be the usual amount in a payment transaction, the day of the week or hour of the day the user usually operates, the functionality often accessed, etc.


CONTINUOUSLY EVALUATING the anomalies in interacting with the service, allowing the countermeasures to be dynamic, saving your user from unnecessary friction.

IMPROVING SECURITY POSTURE without disrupting your users’ experience and without hardware requirements.

PROTECT your digital services from identity-related FRAUD and MALWARE-BASED or BOT ATTACKS.