AI Agent Governance

AI agent governance is the practice of approving, monitoring, and holding owners accountable for the AI agents employees build. Opsin bases every approval on the agent's real configuration, not its description: who can use it, what it can access, and which capabilities are enabled. We break down the approach in AI governance and security: keeping agents on task.

You define what is allowed and Opsin turns it into technical guardrails that apply as agents are created, shared, and changed. If no written policy exists yet, Opsin drafts one with you.

Every approval rests on evidence from the agent's real configuration:

• Who can invoke the agent and at what access level
• What data sources and tools it can reach, including MCP connections
• Whether its capabilities match its declared purpose
• Whether a responsible owner answers for it

Opsin flags them for assignment or retirement. An agent nobody answers for cannot be governed, and our research found 60% of agents per environment have excessive access or no clear owner.

Yes. Opsin applies your existing approval criteria to every agent in the environment, including the ones that never went through intake. Discovery finds them first, see Agent Discovery.

Opsin turns your written policy into checks that run every time an agent is created, shared or changed.

• Drafts the policy with you if none exists
• Verifies access, data reach and MCP connections before approval
• Flags agents with no owner for assignment or retirement
• Works across Copilot, ChatGPT Enterprise, Claude and Gemini

See how Culligan approved Copilot agents on evidence.

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