RATION: Towards Quantitative Risk-Based Access Control for AI Agents.

arXiv:2610.24311v1 Announce Type: cross Abstract: AI agents increasingly interact with external environments to complete complex user tasks. These interactions can lead to unexpected behavior and expose agents to security threats such as indirect prompt inject