Google recently released data showing that AI tools have significantly improved the efficiency of fixing security vulnerabilities in Chrome. Just the two versions released in June—Chrome 149 and Chrome 150—patched 1,072 security vulnerabilities, surpassing the total of 1,036 vulnerabilities fixed across all 23 versions over the past two years. Doug Turner, Director of Engineering for Chrome, stated that large language models have transformed vulnerability discovery into an automated, industrial-scale operation, enabling Google to proactively patch vulnerabilities before they are exploited. Microsoft also announced this month that its monthly update patched a record 570 security vulnerabilities, attributing the achievement to AI tools. This trend indicates that defenders can now leverage AI to fight fire with fire; in this new normal where vulnerability discovery speeds have increased tenfold or even a hundredfold, whoever can use AI to close gaps faster will hold the initiative in the cybersecurity battle.Article author, source: Chanzhan.com
Google recently released staggering data: with AI tool assistance, the team fixed a total of 1,072 security vulnerabilities in just two Chrome versions—Chrome 149 and Chrome 150—launched in June alone. By comparison, the total number of vulnerabilities fixed across all 23 Chrome versions released over the past two years was only 1,036—AI has fundamentally transformed the efficiency of vulnerability detection and remediation.

Gemini enters the scene, bringing vulnerability mining into the industrial era
Doug Turner, Director of Engineering at Chrome, stated directly that large language models have fundamentally transformed the economics of cybersecurity, turning vulnerability discovery into an automated, industrial-scale operation. By applying models like Gemini, Google has been able to proactively patch vulnerabilities and stay ahead of adversaries in the security arms race.
This trend has become an industry consensus. Earlier this month, Microsoft also announced that its monthly routine update patched a record 570 security vulnerabilities, directly attributing this achievement to the support of AI tools. Apple, however, has not seen similar explosive growth; independent statistics show that the number of vulnerabilities patched in 2026 remains largely consistent with previous years.
As security researchers warn that AI will exponentially accelerate vulnerability discovery, Google and Microsoft are using real data to demonstrate that defenders can also leverage AI to fight fire with fire. In this new normal, where vulnerability discovery is accelerating tenfold or even a hundredfold, the side that can use AI to patch gaps faster will hold the true initiative in this cyber arms race.
