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This article addresses the critical security challenge of securing AI agents deployed on edge devices that control physical infrastructure like robots and drones. By introducing an Edge Connector that intercepts tool calls locally, DefenseClaw mitigates risks such as prompt injections and malicious command execution before they cause real-world harm. The solution effectively extends AI governance to constrained hardware where traditional full-stack security engines are impractical.

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Agents at the Edge: Extending AI Security Governance to Physical AI with DefenseClaw

Cisco BlogsOctober 14, 20266 min read

AI agents are moving beyond screens and servers into the physical world -- controlling robots, drones, factory equipment, and building systems. DefenseClaw now includes an Edge Connector that brings AI agent security to these constrained devices....

AI agents are moving beyond screens and servers into the physical world — controlling robots, drones, factory equipment, and building systems. DefenseClaw now includes an Edge Connector that brings AI agent security to these constrained devices. It’s a compact component that runs directly on IoT hardware, intercepts tool calls the AI agent makes, and decides — in microseconds — whether to allow or block it. When an AI agent on a server misbehaves, the damage is usually digital — a leaked document, a wrong answer. When an AI agent controlling a physical machine gets compromised, the consequences are immediate and real: Warehouse robot — hidden text in a shipping…

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