AgentPolicyForge: From Executable Environments to Policy Benchmarks and Adaptive Guards
Factual evidence
What the source reports
Researchers introduced AgentPolicyForge, a framework for creating policy benchmarks and training adaptive guards for agentic AI tools.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 22 October 2026
- Collected by OneBench
- 23 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2610.28989v1 Announce Type: cross Abstract: Customized agent deployments define policies over tools, resources, and execution conditions. Providing these policies in the task agent's prompt does…
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OneBench interpretation
Institutional assessment
So what
Prompt-based guardrails fail to reliably enforce tool policies, necessitating trained external policy guards for agentic deployments.
Do what
Review agentic architecture security controls with your model-risk team to evaluate reliance on prompt-based versus external policy enforcement.