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ClawGuard: Out-Of-Band Detection of LLM Agent Workflow Hijacking Via EM Side Channel
Autonomous LLM agents face a critical security risk known as workflow hijacking, where attackers subtly alter tool and skill invocations. Existing defenses rely on host-internal telemetry such as audit logs, which can be forged if the host OS is compromised. To solve this, we introduce ClawGuard,...
Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw
The rapid evolution of Large Language Models LLMs into autonomous, tool-calling agents has fundamentally altered the cybersecurity landscape. Frameworks like OpenClaw grant AI systems operating-system-level permissions and the autonomy to execute complex workflows. This level of access creates...