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arXiv· arXiv:2605.29251· Benlong Wu, Weiming Zhang, Kejiang Chen, Han Fang, Nenghai Yu·Indexed by this site · Originally published

Provably Safe Agent Guardrails: The ePCA Framework

Provably Secure Agent Guardrail

AI summary

An arXiv paper proposes ePCA, a provably safe agent guardrail framework, which achieves zero attack success rate and zero false positive rate in the evaluated dynamic adversarial scenarios. The framework adopts a neuro-symbolic isolation architecture, abandons semantic trust in natural language, and forces the agent to losslessly formalize its intent into first-order logic mathematical constraints before executing physical operations. The paper states that the mechanism has extremely low computational latency and, under explicit system assumptions, provides a conditional formal foundation for the underlying defense of future intelligent systems.

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