Watching Isn't Enough: The Case for a Runtime Control Plane for AI Agents

Watching Isn't Enough: The Case for a Runtime Control Plane for AI Agents Observability tells you what went wrong. Governance stops it from happening. They're not the same thing — and most agent stacks are missing one of them. Last week I wrote about the AI agent observability crisis — the fact that your agents can fail catastrophically while every traditional monitoring metric stays green. The response in the comments surfaced a question I've been thinking about since: okay, so now I can see my agent drifting. What do I do about it? The honest answer is: with observability alone, not much. You can see the problem. You can page an engineer. You can roll back a deployment. But by the time you've done any of that, the agent has already sent the wrong tone of email to 10,000 customers, leaked a user's PII to a third-party tool, or — as happened last week — processed a financial transaction it shouldn't have. Observability is the smoke detector. What teams are now reaching for is a sprinkl