The surge in activity follows the integration of large language models into Google’s development pipeline. According to the company, these tools have fundamentally altered the economics of software security, turning the discovery of vulnerabilities into an industrial-scale operation. Doug Turner, Chrome’s director of engineering, stated that utilizing models like Gemini allows the team to preemptively address weaknesses, effectively outpacing adversaries.
In section Startups & Technology
Google Uses AI to Patch Chrome Vulnerabilities at Industrial Scale
By deploying internal AI models to identify and resolve flaws, Google patched 1,072 security bugs in Chrome last month alone. This total eclipses the 1,036 vulnerabilities addressed across the previous 23 versions released over the last two years, signaling a shift toward automated, high-volume cybersecurity defense.
This trend is reflected across the broader tech industry. Microsoft recently reported a record 570 security fixes during its monthly 'Patch Tuesday' cycle, explicitly crediting AI-driven discovery for the jump in productivity. In contrast, Apple’s security reporting remains steady; independent counts show the company is on track to patch roughly 482 bugs this year, a figure consistent with its historical output rather than the exponential growth seen at Google or Microsoft.
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