An artificial intelligence agent permission boundary translates user authority into enforceable limits on sites, files, tools, accounts, data, and actions. It should be implemented outside the model so the agent cannot simply decide to broaden its own access.
Useful boundaries balance safety with interaction cost. Repeated prompts for harmless steps make workflows cumbersome, while broad standing approval can expose sensitive actions. Systems should group predictable low-risk permissions and reserve fresh confirmation for consequential, ambiguous, or cross-boundary changes.
