The Emerging Patch Gap
Tuskira Research analyzed 1,596 verified vulnerabilities disclosed across 281 open-source projects over 63 days, drawing on Anthropic Mythos data, to measure how fast AI-driven discovery is now outpacing enterprise remediation. The answer: roughly 16.5x faster than teams can safely patch.
What You’ll Learn
- Why AI-accelerated vulnerability discovery has opened a structural gap between disclosure and remediation
- What the Mythos dataset reveals across 1,596 vulnerabilities, 281 projects, and 63 days
- How the discovery-versus-remediation deficit compounds into real exposure, illustrated with a worked nginx example
- The five findings that define the Emerging Patch Gap
- A four-pillar Patch-Gap Defense Doctrine for closing the gap through reachability, exposure, control validation, and distribution
Download the report to see the full data behind the Patch Gap and a practical doctrine for defending against vulnerabilities that are now found faster than they can be fixed.
Anthropic Mythos data shows AI-driven vulnerability discovery now outpaces enterprise remediation by roughly 16.5x. An analysis of 1,596 verified vulnerabilities across 281 open-source projects in 63 days, with a four-pillar doctrine for closing the gap.
