Where current standards are under strain
Human-speed infrastructure
Vulnerability management systems were built around human-led discovery, manageable volumes, and time to assess and respond. AI-driven discovery puts pressure on each of those assumptions.
Prioritization at scale
As vulnerability volume grows, defenders need stronger signals for what to fix first, including exploitability, reachability, business context, and whether vulnerabilities can be chained together.
Disclosure timelines
Coordinated disclosure models were designed for a slower environment. AI-scale discovery creates new questions about how findings are verified, shared, and acted on responsibly.
Access and verification
Frontier AI capabilities require clear standards for who gets access, how claims are independently verified, and what data must accompany published capability announcements.
Institutional accountability
Governments, AI providers, and the security community need shared expectations for oversight, coordination, and response as AI changes the speed and scale of vulnerability discovery.
Watch the conversation behind the paper
Corey Thomas and Sabeen Malik discuss the themes behind Modernizing Global Vulnerability Standards in Experts on Experts: Commanding Perspectives.
The conversation explores:
- How AI-driven vulnerability discovery is changing security standards and disclosure models
- Why verification, access, and accountability need to evolve
- How continuous compliance and AI-driven, human-led security operations support cyber resilience
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