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Minds & MachinesAI & Robotics

A permission system to keep AI agents from overstepping

Researchers framed the handoff between an AI agent's reasoning and its tools as a control problem. Each action must hold tokens for capability, approval, and budget. Prompt-injected requests missing those tokens are refused, no matter how they are worded.

AI agents now book, buy, send, and deploy on our behalf, and prompt injection — hidden text that hijacks their tools — is a real attack. This work puts the guardrails outside the model's judgment: permissions are enforced mechanically and can be formally checked, and it identifies the narrowest limits that still keep a deployment safe.

✦ The safest AI may be the one that has to show permission before it acts.

References
  1. [1]arXiv ↗