arXiv: Symbolic Guardrails for Domain-Specific Agents — Stronger Safety Without Sacrificing Utility
arXiv·medium signal
Paper (2604.15579, April 16) proposes symbolic guardrails as a practical path toward provable safety guarantees for tool-using AI agents. Combines formal verification with domain-specific constraint encoding, offering stronger guarantees than RLHF-only approaches. Key finding: guardrails can be composed without degrading task performance, suggesting a path toward certified agent safety for enterprise deployment where 'mostly safe' isn't acceptable.