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TechPulse take: Cisco Talos has introduced CAIRN, an open-source framework designed to detect autonomous malware that delegates tactical command-and-control decisions to large language models. The tool identifies digital markers such as specific API endpoints and prompt templates to track threats operating without human intervention, marking a significant shift in how AI-driven cyberattacks are classified and hunted. This development highlights the evolving landscape of AI safety where malicious actors leverage commercial models for fully autonomous attack loops.
CAIRN – A New Tool to Track AI Malware That Operates Without Human Control
Cisco Talos has released CAIRN, an open-source toolkit designed to hunt, classify, and track AI-integrated malware by examining the digital markers developers leave behind. The Cognitive Artifact Intelligence Research Network searches for prompt templates, provider endpoints, API-key prefixes, jailbreak terms, and orchestration logic without downloading or executing binaries. The launch also revealed CLOSEDQUORUM, which Talos […] The post CAIRN – A New Tool to Track AI Malware That Operates Without Human Control appeared first on Cyber Security News.
Cisco Talos has released CAIRN, an open-source toolkit designed to hunt, classify, and track AI-integrated malware by examining the digital markers developers leave behind. The Cognitive Artifact Intelligence Research Network searches for prompt templates, provider endpoints, API-key prefixes, jailbreak terms, and orchestration logic without downloading or executing binaries. The launch also revealed CLOSEDQUORUM, which Talos describes as the first publicly…
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