A Chrome bug hid in the codebase for 13 years. AI found it in one pass. 🔍
Google just disclosed that AI agents helped find and fix 1,072 Chrome vulnerabilities across just two releases — more than the previous 23 releases combined.
One standout: a sandbox escape bug that survived over a decade of manual code review, fuzzing, and bug bounty hunts — undetected until an AI agent with deep codebase context finally caught it.
What's inside the breakdown:
🔹 The AI pipeline behind it — Naptime, Big Sleep, CodeMender, and Gemini-powered agents working together
🔹 Why "critic" AI agents now review AI-generated patches before humans do
🔹 The "patch gap" problem, and why Google is moving toward dynamic, no-restart patching
🔹 How this compares to what Microsoft and Apple are (or aren't) doing
🔹 Practical takeaways for engineers building AppSec, DevSecOps, or CI/CD pipelines
If you're a developer, SRE, or security engineer, this is a solid real-world case study in agentic AI actually shipping to production at scale — not just a demo.
Full breakdown: https://www.xpert4cyber.com/2026/07/ai-found-chrome-bug-hiding-13-years.html
Curious what devs think — does AI-assisted vulnerability discovery change how you'll approach code review going forward?
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