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SecureClaw

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SecureClaw: Clawing Back Control of LLM Agents

arXiv:2606.09549v1 Announce Type: new Abstract: Tool-using large language model (LLM) agents face two distinct security failures: unauthorized external actions and exposure of sensitive plaintext inside the runtime before any final output check can intervene. Existing defenses usually protect one boundary, either the planner/runtime or the action sink, and therefore do not by themselves secure both surfaces. We present SecureClaw, a dual-boundary architecture that places authorization at the...

arXiv CS 1d ago