Implement governance across the agent lifecycle

Completed

Governance drives control across the agent lifecycle. Without governance, agent adoption becomes inconsistent and unsafe. Governance ensures agents are onboarded intentionally, operate within guardrails, and are managed consistently from build through retirement.

Challenges

Without governance, organizations face significant challenges such as:

  • Apply consistent governance policies across all agents, regardless of how or where they’re built.

  • Balance developer freedom and experimentation with centralized oversight.

  • Identify and retire low‑value or ownerless agents before they create risk or unnecessary cost.

Solution

With Agent 365, organizations can establish guardrails for agents and people, onboard agents with IT oversight, and govern agent access to resources and data. Organizations can be audit ready with built-in compliance and data retention.

The following capabilities help organizations to confidently manage and govern their agent ecosystem.

  • Bring agents under control from day one - Onboard and approve agents through an IT‑controlled flow, applying policy templates to every agent for governance and compliance.

    Screenshot showing create policy template page.

  • Control what agents can access and do - Enforce least-privilege access by controlling which users, data, and tools agents can use and limit access to only the resources and other agents they need.

    Screenshot showing list of tools and Model Context Protocol (MCP) servers.

  • Automate ongoing agent governance - Use rules-based agent management to automatically enforce lifecycle policies, such as expiring inactive agents, flagging ownerless agents, or blocking risky agents.

    Screenshot showing agent policy management page.

  • Be audit-ready from the start - Strengthen visibility and traceability of agent actions and interactions, including who approved an agent, what it accessed, and how it behaved.

    Screenshot showing audit logs for agent actions and interactions.

  • Reduce compliance and safety risks - Establish data safety and compliance controls to detect, retain, and investigate unethical agent interactions.

    Screenshot showing compliance with unethical behavior with AI agents.