GuardAgent safeguards LLM agents by generating task plans from safety requests and mapping them to executable guardrail code, achieving over 98% accuracy on a healthcare access-control benchmark and 83% on a web safety benchmark.
Currently, the reasoning is based on a simple chain of thought without any validation of the reasoning steps
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2024 1verdicts
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GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning
GuardAgent safeguards LLM agents by generating task plans from safety requests and mapping them to executable guardrail code, achieving over 98% accuracy on a healthcare access-control benchmark and 83% on a web safety benchmark.