User Entity & Behavior Analytics (UEBA)
Identify threats unique to your user’s activity
Adlumin applies User & Entity Behavior Analytics (UEBA) to uncover threats by constantly analyzing your security and operational data. And alerts when activity deviates from what’s expected.
Stay ahead of threats. Eliminate risks.
More and more SaaS applications are used by businesses daily, creating a new perimeter to defend against – identity. It’s difficult to spot when a user performs an unusual activity like login location, times, or accessing certain files. User Entity & Behavior Analytics (UEBA) is a form of machine learning that learns how each user acts in your environment and alerts when a user’s behavior changes from what’s expected.
How does Adlumin’s UEBA work?
Adlumin’s Security Operations Platform ingests data from individual users and entities, like servers, workstations, and endpoints. It then starts to learn user behavior to develop an expected baseline. Deviations from these baselines can signal a security incident and other events requiring attention.