Frontier AI Vulnerability Hunts Drive Surge in Critical Flaw Discoveries
Emerging Technology Risk · 3 sources · Updated 2mo ago · First seen Sep 7, 2026

AI-assisted vulnerability research is contributing to a sharp rise in disclosed high- and critical-severity software flaws, with monthly totals reportedly climbing from fewer than 100 to more than 600. Anthropic's Project Glasswing reportedly identified over 10,000 high- or critical-severity issues, while exploitation of disclosed vulnerabilities is increasingly occurring on the day of disclosure or earlier, making patch cycles measured in weeks inadequate.
Okta used pre-release OpenAI and Anthropic frontier models through the Daybreak Cyber Partner Program and Project Glasswing to scan high-priority customer-installed software across hundreds of repositories. Its testing found that autonomous agents frequently generated false positives or overstated severity, while expert-led investigation, manual reproduction, and triage substantially improved results. VMware similarly prioritized fixes found after adopting Claude Mythos and Project Glasswing, releasing VCF 9.1.1 as a security-focused update and delaying planned VCF 9.2 features.


