Governing AI Agents: A Framework for Enterprise Agentic AI
Autonomous agents act on your behalf — calling models, using tools, and reaching external services. That power is exactly why they need governance built for how they actually work. Here's a practical framework.
Treat every agent as a governed entity
Register each agent the way you would any production system: who owns it, what it's allowed to do, and which models, tools, and data it depends on. Ownership and approval shouldn't be afterthoughts — they're what let you move fast without losing control.
Govern what the agent can reach
An agent is only as safe as the tools and services it can call. Approve those connections before the agent goes live, and keep a clear record of what it can access — so you're never surprised by what an agent did in production.
See the whole picture
When you can see how an agent connects to everything beneath it, risk reviews become straightforward. You understand impact before you ship, and you can answer 'what does this agent touch?' in seconds, not days.
Key takeaways
- Register agents with clear ownership and approved scope.
- Approve an agent's tool and service access before it reaches production.
- Keep the full dependency picture so risk reviews are fast and confident.