Systems that can say no · The AI agent security roadmap

Build AI agents you can trust, contain, and audit.

AI agents now read email, browse the web, call APIs, write code, and move money. Most ship with the security model of a demo. This is the path from "it works on my laptop" to "we can prove what it did, why, and that it could not have done worse."

Curated by Anuj Ashok Potdar · IEEE Senior Member · Author, Wiley-IEEE and Springer · Updated every week

Why "Fencing Token"?

In distributed systems, a fencing token is a number that increases every time a lock is granted. Storage rejects any write carrying an older token, so a process whose authority has gone stale can never act on it. That is the principle here: authority is checked where the action happens, by a system that can say no. AI agents are the first series; the idea applies to any system that acts. (Not a cryptocurrency.)

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