Cogent has launched VR-1, which it describes as the first Mythos-class frontier AI model designed specifically for cybersecurity tasks. The company emphasises that whilst most frontier models can identify individual bugs in single codebases, real-world attacks typically exploit chains of minor weaknesses rather than isolated flaws. These attack chains might involve a public service exposing a vulnerability, excessive identity permissions, or unchecked artifacts in build pipelines. VR-1 aims to address this more complex, interconnected nature of cybersecurity threats by moving beyond single-bug detection to understand how multiple small weaknesses can combine to create significant security risks. The model represents Cogent's attempt to develop AI capabilities that better reflect actual attack patterns in production environments.

Cogent, an AI-native cybersecurity startup backed by Greylock Partners and Bain Capital Ventures, has launched Zero Day Response and Autonomous Remediation capabilities designed to compress vulnerability response from weeks to hours. The company aims to address the growing gap between exploit development and enterprise remediation as time to exploit has collapsed from nine months in 2022 to hours in 2026. Zero Day Response identifies vulnerabilities within minutes of public disclosure without waiting for scanner signatures, whilst Autonomous Remediation determines fixes, assesses business impact and confirms resolution. Cogent research found 62% of critical vulnerabilities had exploits circulating before scanner detection, with an average 5.1-day lag between CVE publication and scanner coverage. The platform has helped Fortune 500 security teams reduce exposure windows by 97%.