Docker published a post this week about AI Governance , and my first reaction was not "cool, Docker has an AI feature now." My reaction was: of course this is where the market goes. Not because Docker magically solves AI safety. It does not. But because the moment you let agents do real work, the boring container questions suddenly become interesting again: What files can this thing read? What network calls can it make? Which secrets are visible? Can it install packages? Can it write outside the workspace? Can I reproduce what happened after the fact? That is not a chatbot problem. That is a runtime problem. And containers have always been a runtime-shaped answer to uncomfortable runtime questions. agents made isolation feel urgent again For a while, containers were boring in the best possible way. They became part of the furniture. Build image, push image, run image, deploy image. Kubernetes made them infrastructure. CI made them muscle memory. Local dev made them annoying, then necessary, then invisible.…