AI agents are already operating across your systems — interpreting tasks, selecting tools, and making decisions in ways your existing controls were never built to see.
Going beyond identity is no longer optional. The risk that matters in an agentic environment lives in behavioral sequences, context reuse across systems, and drift that develops gradually over time — none of which access controls or platform guardrails were designed to govern.
This guide gives security teams ten practical governance practices for exactly that challenge. From mapping agent scope and establishing behavioral baselines to designing cross-platform guardrails and governing system prompts as infrastructure — it covers what good actually looks like at every stage of maturity.
Whether you are just beginning to govern agents or scaling governance across a growing deployment, the maturity framework inside will show you where you are and what to build next.
What you will take away:
- A clear framework for governing agent behavior — not just agent access
- Ten practical practices you can begin applying immediately
- A maturity model to assess your current posture and prioritize next steps
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