AI Agent Security: Docker Bets on Isolation Over Model Fixes
Docker published a guide naming prompt injection and four other AI agent risks, urging microVM isolation and governance rather than relying on model fixes.
Connect For You once. When you ask for something your assistant can’t do, it searches for a verified skill that can, from booking appointments to fighting a bill. Nothing to install.
An unverified skill is a prompt injection with good marketing. We only return verified ones.
Claude, ChatGPT, Muse, Grok, or any MCP client. You never browse a catalog, install a skill, or create an account.
When a request goes beyond what your assistant can do, it searches For You for a skill that can, while it's working on your task.
Every result's publisher is identity-checked, every version is scanned, and every skill shows what it may access before your assistant uses it.
“I got charged twice for the same order. Can you get my money back?”
Your assistant can’t do this on its own, so it searches For You instead of telling you to go install something. The top result is verified and spells out what it may touch before it does anything.
find_capability({ intent: "dispute a duplicate card charge" })
→ Dispute a card charge
verified true
publisher For You (did:web)
may access web.read, email.send
stops to ask Before sending anything to the merchant or the card issuer.See the skillDocker published a guide naming prompt injection and four other AI agent risks, urging microVM isolation and governance rather than relying on model fixes.
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