We Keep Getting Asked the Same Question About AI Agents

Lately, almost every conversation we have starts the same way: "What do we do about AI agents touching our systems?"

It's a fair question, and most teams don't have a great answer yet. AI agents are being handed real permissions — access to internal tools, the ability to trigger workflows, sometimes direct database access — and they're being onboarded faster than most security teams can keep pace with.

An AI agent is a privileged identity. Full stop.

Here's the mental shift that helps: stop thinking of your AI tools as software features and start thinking of them as identities that need governing, the same way you'd think about a new hire or a service account. If it can read data, take an action, or call another system on its own, it needs an access policy — not just an API key someone generated once and forgot about.

The uncomfortable truth is that a lot of organizations can't currently answer a simple question: which AI tools in their environment have standing access to what, and who approved it. If you can't answer that in under a minute, that's not a hypothetical risk. That's a current one.

Treat it like any other privileged account, because it is one

The good news is this doesn't require reinventing anything. The same discipline that applies to a human admin — least privilege, time-bound access, session visibility, a clear owner — applies just as well to an AI agent. The organizations getting ahead of this aren't the ones with the fanciest AI governance framework. They're the ones who simply refused to treat "it's just a bot" as a reason to skip the basics.

We don't think this gets easier as adoption grows. If anything, the gap between how fast AI tools are being deployed and how carefully their access is being managed is only going to widen. Better to close it now, while the list of AI agents in your environment is still short enough to actually audit.