Modernizing Global Vulnerability Standards For The Age Of AI

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As AI-driven vulnerability discovery accelerates, the cybersecurity ecosystem is being forced to examine whether the standards, disclosure processes, and prioritization frameworks defenders rely on can still keep pace. Many of those systems were built around human-speed discovery, manageable vulnerability volumes, and exploitability confirmed after the fact, which leaves them under increasing strain as frontier AI capabilities mature.During a private sector consultation with the White House in June, Corey Thomas and I presented Rapid7’s new policy paper, Modernizing Global Vulnerability Standards, which lays out where today’s vulnerability management infrastructure is breaking under AI-era conditions and what governments, security companies, and frontier AI providers need to do next.In recent guidance, the Five Eyes cyber security agencies warned that AI is rapidly transforming cyber risk by increasing the speed, scale, and sophistication of threats, lowering barriers for malicious actors, and requiring leaders to reassess long-standing assumptions about resilience and accountability.AI vulnerability discovery is changing the rulesIn April 2026, Anthropic, OpenAI, and Google DeepMind each announced production-grade AI systems capable of discovering, chaining, and, in some cases, remediating software vulnerabilities at machine speed. In the same period, the Stanford HAI AI Index 2026 Cybench benchmark showed unguided AI agent solve rates on cybersecurity tasks rising from 15% to 93% in a single year.These are deployed capabilities on a steep improvement curve. Faster …

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