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Cyber_Cat
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OpenClaw proves agentic AI works. It also proves your security model doesn't. 180,000 developers just made that your problem.

FeaturedLouis Columbus January 30, 2026 OpenClaw, the open-source AI assistant formerly known as Clawdbot and then Moltbot, crossed 180,000 GitHub stars and drew 2 million visitors in a single week, according to creator Peter Steinberger. Security researchers scanning the internet found over 1,800 exposed instances leaking API keys, chat histories, and account credentials. The project has been rebranded twice in recent weeks due to trademark disputes.The grassroots agentic AI movement is also the biggest unmanaged attack surface that most security tools can't see.Enterprise security teams didn't deploy this tool. Neither did their firewalls, EDR, or SIEM. When agents run on BYOD hardware, security stacks go blind. That's the gap.Why traditional perimeters can't see agentic AI threatsMost enterprise defenses treat agentic AI as another development tool requiring standard access controls. OpenClaw proves that the assumption is architecturally wrong.Agents operate within authorized permissions, pull context from attacker-influenceable sources, and execute actions autonomously. Your perimeter sees none of it. A wrong threat model means wrong controls, which means blind spots."AI runtime attacks are semantic rather than syntactic," Carter Rees, VP of Artificial Intelligence at Reputation, told VentureBeat. "A phrase as innocuous as 'Ignore previous instructions' can carry a payload as devastating as a buffer overflow, yet it shares no commonality with known malware signatures."Sim

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