As organizations adopt agentic AI and automated systems, a new category of risk is emerging — one that traditional security operations and threat detection models weren’t built to handle. AI agents are now making decisions, executing actions, and interacting with sensitive systems — often without clear visibility or control.
This feature brief explores how security teams can extend AI in cybersecurity strategies to monitor and secure non-human identities — using behavioral analytics, dynamic risk scoring, and AI-driven investigation workflows to detect misuse, compromise, and hidden operational risk.
Key Takeaways:
Why traditional security models fail to detect risks introduced by AI agents and automated workflows
How agent behavior analytics uncovers threats that rule-based detection misses
What it takes to investigate incidents involving both human and non-human identities
How leading teams are building visibility into AI-driven security risks before they escalate
About Exabeam: Exabeam is the leader in behavior intelligence for the agentic enterprise. As organizations deploy digital workers and confront machine-speed adversaries, Exabeam delivers flexible, industry-proven solutions for insider threat coverage of humans and agents and faster, more accurate threat detection, investigation, and response (TDIR).