From Risk Classification to Action Plan Remediation: A Guardrail Feedback Driven Framework for LLM Agents 事件

From Risk Classification to Action Plan Remediation: A Guardrail Feedback Driven Framework for LLM Agents arXiv:2606.05805v1 Announce Type: new Abstract: LLM-based guardrails typically safeguard agents by evaluating proposed actions or inputs before execution, producing safety signals such as binary allow/deny decisions, risk categories, and/or explanatory rationales about potential policy violations. However, agent risks often arise when otherwise benign tasks are contaminated by untrusted ext