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AI risk2 min read

Did Your AI Assistant Access Your Email?

When an AI assistant claims it checked email or changed a file, its words are not proof. Why activity logs and least-privilege access matter for connected assistants.

Short answer

An AI assistant's description of what it did is not evidence that the action occurred — the opposite failure mode is also possible, where a real action is described incorrectly. Grant least-privilege access, require approval for consequential actions, and verify unexpected claims against independent activity logs in the underlying account or service.

An AI assistant can sound remarkably certain about what it has done. That creates an uncomfortable question: if it says it checked your emails, sent a message, or opened a file, how do you know whether any of that really happened?

A developer's experience with Meta's Muse assistant, reported by Business Insider and republished on 15 October 2026, illustrates the problem. Ugo Nwune said he had used Muse to help prepare an approach to a potential investor. He had connected social media accounts, but not his Gmail account. Then an unexpected message appeared referring to an email request he said he had never made.

The message stated that the assistant could not check Gmail because the account was not connected. It understandably left him wondering whether somebody had accessed his account or the system had confused his conversation with another one. He stopped using the service and disconnected its permissions.

Meta attributed the incident to a product bug that caused the assistant to produce a false account of the situation. The company said there had been no security or privacy breach and that it had fixed the bug. The report established no unauthorised access to Nwune's email. It was one user's reported experience, not evidence that Muse was secretly reading messages.

The story matters because the opposite problem is also possible. A system could actually take an action but describe it incompletely or incorrectly. In either case, the assistant's words are not proof of what occurred.

An increasingly common type of AI assistant can work with calendars, files, customer records, or business software. The more accounts it can reach, the greater the consequences of confusion about its activities. An incorrect claim about a harmless web search is annoying. An incorrect claim about transferring money, changing a customer record, or sending a confidential document is much more serious.

What to do

Give an assistant access only to the accounts and information needed for its particular job. Separate permission to read information from permission to change, send, or delete it. Important actions should require clear human approval.

If the assistant reports something unexpected, save its message and check the activity history of the actual account or service. Look for a real email, an account sign-in, a changed document, or another independent record. Review connected accounts and remove access that is no longer needed. If misuse is suspected, follow the organisation's incident process rather than asking the same assistant to investigate itself.

Sources


We map which assistants have access to which systems, tighten permissions, and define approval and incident response — as part of AIMS implementation and gap assessment work.

Next step

Apply this to your own AI systems

We can tell you in three to four weeks exactly where you stand against ISO/IEC 42001 and the EU AI Act, what carries over from your existing certifications, and what closing the gap would cost.