Analyzes user typing patterns, keyboard rhythm, mouse movement, time patterns, app usage, and system flow to create a unique biometric profile for each user.
02
Machine Learning Model
Uses a cloud-based machine learning system to build and continuously update models of each user's behavior for authentication purposes. The model adapts to changing behaviors over time to maintain accurate authentication.
03
Continuous Authentication
Performs ongoing authentication checks every minute throughout a user's session, not just at initial login, to maintain security without interrupting user workflows.
04
Passive Authentication
Authenticates users without requiring active input or interaction, allowing for seamless user experience and relying on behavioral patterns rather than traditional MFA inputs.
05
Software-Based Deployment
Implemented as software that can be deployed on Windows workstations or VDI infrastructure without requiring additional hardware. Can be deployed remotely via group policy, allowing for installation on remote employee devices without physical access.
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