arXiv Artificial Intelligence

Ajar: Measuring Open Privilege in Agent Defenses

4 hours ago 24.09.2026 07:00 👁 2 views
Ajar: Measuring Open Privilege in Agent Defenses

Quick summary

arXiv:2609.26900v1 Announce Type: cross Abstract: A language model agent acts through the tools it is given. The data it reads while working on a task can redirect what it does with those tools. A growing set of techniques for safe and secure agent execution therefore sits between the agent and its tools, aiming to enforce access control, information flow or isolation at that boundary. Today these techniques are evaluated on agent-security benchmarks built around indirect prompt injection. Those benchmarks judge a defense by how far it brings the number of successful attacks down while preserv

Key takeaways

  • arXiv:2609.26900v1 Announce Type: cross Abstract: A language model agent acts through the tools it is given.
  • The data it reads while working on a task can redirect what it does with those tools.
  • A growing set of techniques for safe and secure agent execution therefore sits between the agent and its tools, aiming to enforce access control, information flow or isolation at that boundary.

Why it matters

“Ajar: Measuring Open Privilege in Agent Defenses” shows why AI risk cannot be reduced to answer accuracy. Access controls, logging, human approval and incident response need to be designed into the workflow from the start.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗