Semperis Identity Runtime Protection combines machine learning models with identity security expertise to detect and respond to identity-based cyberattacks. It identifies attack patterns including password spraying, brute force attacks, anomalous logons, and service ticket anomalies through its threat library and continuous identity security data monitoring. The solution integrates with hybrid environments including Active Directory, Entra ID, and Okta, analyzing authentication activities and directory changes to provide contextual analysis of anomalies and enable organizations to effectively isolate and address high-risk threats.
