Had five Chrome instances connected to one automation session today. Had to stop and explicitly ask which one was actually signed into the right accounts before doing anything, since picking wrong here does not throw an error, it just quietly acts under the wrong identity.
Never actually happened to me, caught it every time by asking first. But it feels like the kind of mistake that only needs to happen once to be expensive, a post, a purchase, or a message sent from the wrong account with nothing in the UI warning you before it's too late.
If you build or use browser agents across multiple profiles or environments, how do you avoid that. A hard confirmation step, distinct profile naming, something else?
One thing I've noticed is that people often look for an "AI governance tool" as if governance is a single category.
In practice, it usually looks more like a stack. Different controls solve different problems, and most teams end up combining several of them as AI agents move from experiments into production.
1. Model Monitoring
This is the layer that helps teams understand how AI systems behave over time. Performance drift, unusual activity, reliability issues, and changing usage patterns tend to show up here first.