Agentic Accountability: AI Agent Governance
AI agents already have access to the systems your business runs on, and the ability to act on its behalf. What they don't have is governance. This paper shows how to bring every agent under one identity model, so agents act, humans stay accountable, and you can prove it.
Be able to answer these three basic questions about the agents in your organization:
Who are my agents?
Find every agent, including the ones nobody approved, and give each one a named, accountable owner.What are they connected to?
Put one governed channel between every agent and every tool, with short-lived credentials scoped to the task.How do I control what they do & prove it?
Evaluate every call by policy, pause high-risk actions for a human decision, and keep evidence, not logs.
Download the white paper
Agents Arrived, Accountability Didn't
Inside the White Paper
One governed path. Six steps.
1. Register
People, agents, apps, APIs and MCP servers, all in one record.
2. Connect
Every agent's authority bound to a named, accountable owner.
3. Broker
Short-lived, scoped access on demand. The agent never holds the tool's own credential.
4. Authorize
Every tool call evaluated at runtime: allow, deny, or ask a human.
5. Audit
One record of every decision, kept as evidence.
6. Cut
Access ended by session, agent, or access path, and the credentials die with it.
Agents act.Humans stay accountable.The enterprise can prove it.
Agent governance works with any identity provider. Yours can stay exactly where it is. Get the full paper to see how.
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