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Securing the Agentic Enterprise
White Paper
How security teams can govern AI agents, service accounts, and machines with the same rigor as human identity
This white paper introduces Agentic Enterprise Security, a behavioral risk model for human and non-human identities.
AI agents now reason, call tools, access sensitive data, and act on valid credentials of their own inside everyday workflows. Legitimate access doesn’t guarantee safe behavior, and static rules and prompt guardrails can’t catch risk that hides inside activity that looks completely normal.
Inside, you’ll find the four-stage lifecycle behind Agentic Enterprise Security: verify, observe, analyze, and improve. Each stage shows how to secure agents both before and after they reach production, without slowing the AI adoption already underway.
Who Should Read This
- CISOs and security leaders weighing AI-driven productivity against operational and regulatory risk
- Security operations teams investigating identity and access risk for human and non-human accounts
- Identity and access management leaders governing a growing non-human identity surface
- GRC and compliance teams that need audit-ready visibility into AI-driven activity
Key Questions This White Paper Helps You Answer
- What is Agentic Enterprise Security?
- Why do AI agents create new security risk?
- How is securing AI agents different from traditional insider threat programs?
- What is the Verify, Observe, Analyze, Improve lifecycle?
How Exabeam Secures the Agentic Enterprise
Exabeam secures the agentic enterprise with behavioral intelligence for human and non-human identities. Behavioral analytics, risk scoring, investigation timelines, automation, and AI-assisted workflows work together to make agent activity visible, understandable, and actionable before risk becomes business impact.
Download the white paper and learn how the four-stage lifecycle applies to your own environment.
