Plurilock ADAPT provides invisible, frictionless, biometric multi-factor authentication (MFA). ADAPT uses behavioral-biometric, environmental, and contextual identity factors to authenticate users during login workflows. ADAPT relies on machine learning to maintain a fingerprint-unique profile of users' identity characteristics. ADAPT makes stolen credentials useless to attackers; even when an attacker has captured a user's login and password credentials, their location behavior, network characteristics, and behavioral-biometric typing and pointing style won't match those of the intended user, ensuring that inappropriate access is denied.
Plurilock DEFEND provides true continuous authentication for zero trust environments. DEFEND continuously monitors behavioral-biometric, environmental, and contextual identity signals to authenticate users in real time, on an ongoing basis, as they carry out everyday computing work and activities. When the signals generated by the user at a workstation or endpoint are no longer consistent with the expected user's signal profile, DEFEND acts autonomously, within seconds, to alert administrators, prompt for further identity confirmation, or lock the workstation or endpoint.