[2606.25189] ActPlane: Programmable OS-Level Policy Enforcement for Agent Harnesses
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Computer Science > Operating Systems
arXiv:2606.25189 (cs)
[Submitted on 23 Jun 2026]
Title:ActPlane: Programmable OS-Level Policy Enforcement for Agent Harnesses
Authors:Yusheng Zheng, Tianyuan Wu, Quanzhi Fu, Tong Yu, Wenan Mao, Wei Wang, Dan Williams, Andi Quinn<br>View a PDF of the paper titled ActPlane: Programmable OS-Level Policy Enforcement for Agent Harnesses, by Yusheng Zheng and 7 other authors
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Abstract:AI agents increasingly run in production through harnesses, the software around the LLM, including an engine that enforces safety and effectiveness policies, e.g., 'run tests before committing.' Enforcing these policies requires bridging a semantic gap: policy intent is expressed in underspecified natural language, while enforcement must act on concrete system actions, e.g., which test to run. Many policies also define event ordering or data flow actions. Yet existing approaches fall short. Tool-call guardrails miss system actions that bypass the tool layer, while OS sandboxes control resource access instead of actions, returning opaque errors that confuse the agent. Our key insight is that policy context lives within the agent closest to the task, while enforcement must happen at the OS to cover all execution paths. We introduce ActPlane, a policy engine that lets agents declare policies and enforces them in the OS kernel with semantic feedback and isolation. ActPlane uses a simple information-flow control (IFC) DSL to support cross-event policies. We implement ActPlane with eBPF and evaluate it on policies from the empirical study, coding-task benchmarks, and safety benchmarks. ActPlane improves policy compliance, including on indirect execution paths that tool-call interception cannot observe, with 1.9%-8.4% overhead. ActPlane is at this https URL
Subjects:
Operating Systems (cs.OS)
Cite as:<br>arXiv:2606.25189 [cs.OS]
(or<br>arXiv:2606.25189v1 [cs.OS] for this version)
https://doi.org/10.48550/arXiv.2606.25189
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arXiv-issued DOI via DataCite
Submission history<br>From: Yusheng Zheng [view email]<br>[v1]<br>Tue, 23 Jun 2026 21:33:13 UTC (1,682 KB)
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