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Paper · arXiv

Boundary-State Control for Tool-Using Language-Model Agents: Commit-Time Consistency under State Drift

Tool-using language-model agents can decide that an action is permissible and execute it only after security-relevant state has changed. We study this proposal-to-commit gap and introduce BSC-R, a deterministic effect-boundary mechanism that binds a single-use commit authorization to the exact action and to a semantic projection of the authorization state that justified it. On 2,847 attacked AgentDojo episodes, the boundary kernel preserves the unprotected agent's behavior exactly (80.576% utility; 1.616% attack success). On 10,302 frozen proposals, it accepts every unchanged commit and rejects every instance of ten prospectively specified changed or replayed classes. In an independently ...

AuthorsWesley Shu
Primary categorycs.AI
Published26 September 2026
Last updated at source26 September 2026
cs.AI
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