SPIN Unprocessed October 23, 2026 ai_technology research
AgentPolicyForge: From Executable Environments to Policy Benchmarks and Adaptive Guards
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arXiv:2610.28989v1 Announce Type: new Abstract: Customized agent deployments define policies over tools, resources, and execution conditions. Providing these policies in the task agent's prompt does not reliably prevent violations. Training a guard requires examples of tool calls that comply with or violate those policies. We introduce AgentPolicyForge, a framework that uses executable environments to construct policy benchmarks and iteratively train policy guards. With this framework, we constr
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