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Mythos has made 2026 patching hell. It might make 2027 a breeze

The Register · Securityby Simon Sharwood ()2 min read3 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Gartner analyst Craig Lawson argues AI bug-hunters like Anthropic's Mythos have audited major codebases so thoroughly that 2027 could see fewer severe vulnerabilities.

Speaking at Gartner's IT Symposium in Australia, research VP Craig Lawson said AI-driven bug hunting, exemplified by Anthropic's Mythos, is uncovering flaws at unprecedented scale, citing Microsoft shipping over 970 patches in one week and a recent series of CVEs in historically secure OpenBSD. He argued vendors are also using AI to find bugs before release, retiring technical debt and shrinking future zero-day avenues. Lawson predicts 2027 may be the first year with a net drop in vulnerability severity, if not aggregate counts. He also expects AI to enable near-continuous red-teaming and faster fixes, such as generating F5 iRule syntax for virtual patches via Gemini.

Key facts
  • Microsoft shipped over 970 patches in a single week, illustrating record 2026 vulnerability volume.
  • Lawson cites recent OpenBSD CVEs as evidence AI finds flaws in historically secure codebases.
  • He predicts 2027 could bring the first net drop in vulnerability severity as vendors adopt AI testing.
  • AI could enable daily red-team exercises and faster virtual patching, such as F5 iRule generation.
  • He urges SOC metric changes, celebrating defended outcomes instead of ticket counts.
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From the original article

2 min read at theregister.com

Gartner sees huge amounts of technical debt paid down, and better scanning that could make software safer sooner

The Register · Security

By Simon Sharwood · theregister.com

Read the full article at The Register · Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.