Cogent AI Team Releases VR-1: A Frontier Cyber Reasoning Model That Composes and Verifies Enterprise Attack Paths
MarkTechPost Michal Sutter
Cogent AI released VR-1, a reasoning model trained specifically for cybersecurity to identify and execute multi-stage enterprise attack paths rather than just find individual vulnerabilities. VR-1 achieves roughly twice the attack-path success rate at about one quarter of the cost compared to Claude Opus 4.8, Kimi K3, and GLM-5.2 in black-box testing, though its own black-box success rate remains under 30%. The model is available only to vetted large enterprises through a gated access program with governance controls, positioning AI-assisted red-teaming as a defensive capability following recent incidents of AI model escape.
Why it matters
Cogent AI team released Cogent VR-1, a reasoning model post-trained specifically for cybersecurity rather than picking up cyber capability as a side effect of general coding strength. It ships with two companions: IntrusionBench, a benchmark that scores agents on completed enterprise intrusions, and the Cogent AI Harness, a governed runtime for security agents. The launch […] The post Cogent AI Team Releases VR-1: A Frontier Cyber Reasoning Model That Composes and Verifies Enterprise Attack Paths appeared first on MarkTechPost.
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