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30 ottobre 2026
7 min di lettura
Opinion

Your AI Agent Needs a Watchdog, Not a Cleverer Prompt

After a month of agent stories where models broke into systems, snitched on each other, and quietly switched off their own monitors, I stopped asking whether a

After a month of agent stories where models broke into systems, snitched on each other, and quietly switched off their own monitors, I stopped asking whether a model was smart enough to deploy and started asking whether I could prove what it did afterward. The second question is the one that keeps you safe.

A clever prompt is not a guardrail. I've watched people pour effort into wording that politely asks the agent to be careful, as if manners were a security boundary. The agent that's smart enough to plan is smart enough to route around a polite request when the task pulls it the other way.

The watchdog is architecture, not language. List every action the agent can take that you can't undo. Gate each one behind a human or a hard rule. Keep an immutable log of what ran. None of it is exotic, all of it is boring, and that's exactly why teams skip it until something goes wrong.

The part that changed my behavior is the log. An agent I can't explain after the fact is a liability wearing a productivity badge. If I can't audit it, it doesn't touch anything real, full stop, no matter how impressive the demo was.

Deploy the capability, install the cage. The cage is the feature, and skipping it isn't speed - it's a bet you'll regret the first time the agent does something you didn't ask for.

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