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ContractWarden: Kernel-Enforced Damage Boundaries for AI Agents via Human-Authorized Contracts

Occurred
Sep 29, 2026
Published
Sep 29, 2026
Source
arXiv

Summary

Large language model agents can execute commands, create subprocesses, and directly access files and networks, allowing prompt injection or planning errors to become operating-system side effects. We present ContractWarden, a Linux reference monitor that enforces a human-authorized damage boundary without trusting the agent or its policy suggestions. A model may propose a tri-state asset contract - allow, deny, or no_egress - but a human makes the final choice. An execution gate binds the contract to a concrete task before untrusted code runs. An extended Berkeley Packet Filter (eBPF) Linux Security Modules (LSM) data plane then enforces file and network decisions and monotonically propagates no_egress through processes, regular files, pipes, FIFOs, and supported Unix-domain sockets. All 570 runs across 19 security tests satisfy predefined return-value and side-effect criteria. On three co-located file-I/O workloads, median overhead is 11.96-12.89% in a Linux 6.15 virtual machine and 35.79-61.54% on a Linux 6.15 physical platform, lower than the evaluated frozen ActPlane baseline. The results demonstrate deterministic kernel enforcement for declared assets, supported paths, and controlled object lifecycles.

Classification

Category confidence: 95%
Severity confidence: 90%

Rationale: Research paper proposing a kernel-enforced safety mechanism for LLM agents to prevent unauthorized actions.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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