Identity Threat Protection
See how Abnormal uses behavioral AI to catch identity threats that pass authentication and stop them before they become breaches.
What this demo covers:
Modern identity attacks start after login, when attackers use stolen credentials and hijacked sessions to blend in with normal activity that pattern-based tools stay blind to. Identity Threat Protection builds a behavioral baseline for every identity and correlates email, IdP, and SaaS signals to prevent, detect, and remediate the threats that traditional identity tools miss. You'll see how Abnormal ranks identity misconfigurations by real attack susceptibility, maps coverage against known attacks in the Threat Library, detects and contains cross-platform identity compromise, and traces human and non-human identities through the Identity Graph. The demo also covers Adaptive Identity Reset, which scores helpdesk password and MFA reset requests against real user behavior to stop social engineering.
See It Live in Your Environment
Request a personalized demo and watch Abnormal detect and stop the attacks targeting your organization — results in your first session, no production impact.