arXiv:2611.15223v1 Announce Type: new Abstract: Large-language model (LLM) agents execute actions on external systems through tool calls, and enterprises deploy runtime controls, such as agent gateways, to check this behavior in real time. However, a control can only evaluate the actions that cross the point where it is placed, and an agent can act through more paths than the tool-call channel; no existing work measures this coverage against kernel-level ground truth. In this paper, we present guardscope, a framework that makes this coverage measurable.
Artificial Intelligence · 2026-11-13
guardscope: Measuring Which Actions Runtime Controls Check in LLM Agent Systems
arXiv:2611.15223v1 Announce Type: new Abstract: Large-language model (LLM) agents execute actions on external systems through tool calls, and enterprises deploy runtime controls, such as agent gateways, to check this behavior in real time.
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