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The Guide to Agentic Identity Security
A Practical Framework for Securing AI Agents at Runtime
Key Takeaways
AI agents don't just access systems. They make decisions, call tools, execute commands, interact with sensitive data, and take action at machine speed.
Traditional IAM and PAM weren't designed for identities that can reason and act autonomously. Static roles, standing privileges, and one-time authorization leave dangerous gaps once an agent starts working.
Download the Guide to Agentic Identity Security to learn how to govern AI agents across their entire lifecycle—and control every privileged action at runtime.
- AI Agents require a new access model. Giving an agent an identity is only the beginning. Organizations need to continuously determine what an agent is allowed to do based on its identity, task, delegated authority, requested resource, and changing runtime context..
- Move from standing privilege to runtime control. Learn how Zero Standing Privileges (ZSP), just-in-time access, task-scoped permissions, and context-aware policies can give agents the access they need—without leaving privilege standing between tasks.
- Control the arc of every AI agent action. Explore the Britive ARC™ (Agentic Runtime Control) model. Verify the agent and its context. Assess the requested action and risk. Authorize only the privilege required. Observe activity while the task runs. Revoke access when the work is complete or conditions change.
- Go beyond the initial authorization decision. See how runtime enforcement can extend into tool calls, sessions, commands, and sensitive resources—so authorization isn't a one-time decision made before an autonomous workflow begins.
- Build auditability into every agent transaction. Connect agent identity, delegated authority, access decisions, actions, and outcomes into a continuous audit trail—giving security teams the evidence they need to understand and prove what happened.
- Find additional Agentic Identity Security resources here.
