Neysa Aegis

Acceptto monitors user behavior, transactions, and application activity to create an enriched user profile within each application landscape and subsequently verify if access attempts are legitimate or a threat. No passwords or tokens are required. Acceptto’s risk engine calculates whether an access attempt is legitimate or not by tracking user and device posture pre-authentication, during authentication, and post-authorization. We deliver a continuous, step-up authentication process with real-time threat analytics in an age when identities are persistently under attack. Based on a risk score computed by our proprietary AI/ML algorithms, a dynamic level of assurance (LoA) is computed. Our approach automatically finds the optimal policy for each transaction to maximize security while minimizing friction for the user with machine learning and AI analytics. This provides a smoother user experience without sacrificing enterprise security.