When AI agents escape
An agent does not have to be conscious to go beyond its assignment. The real question is: can we see what is happening, stop it and understand why afterwards?
Why this matters to me
I worked as an Information Security Officer, studied ethical hacking and hacking forensics, built public information systems and now help teams with GenAI. These may look like separate chapters, but they turn on the same question: how do you give a system enough room to be useful without losing control?
Not fear of the machine, but attention to the boundary.
An agent must be traceable
Limit
Give an agent only the access and permissions its task requires.
Log
Keep a record of what happened, so a failure does not become a mystery.
Stop
A real stop button belongs to a system that can do real things.
Understand
Investigate afterwards what the agent saw, decided and did.
This is what I want to build in Studio
Agents with explicit permissions, an audit trail, alerts, human approval and a stop button. Not just a chat window saying everything will be fine.
See StudioThis is still in development.
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