AI-Driven CVE Discovery Accelerates as New Models Find Long-Hidden Vulnerabilities

Summary

The article discusses how AI models like Claude Mythos, Big Sleep, and Microsoft Copilot are accelerating the discovery of Common Vulnerabilities and Exposures (CVEs), including zero-day vulnerabilities that have evaded researchers for decades. It highlights two major trends: a rapid acceleration in CVE discovery rates as AI improves, and the detection of long-persisting vulnerabilities. The piece focuses on the challenge of package CVEs and how tools like Flox and Nix can transform vulnerability triage from repeated artifact scans into efficient dependency-graph analysis.