Google says it fixed more Chrome bugs in June than over the past two years, thanks to AI
As experts have warned for the last two years, some companies — like Microsoft and now Google — are finding and patching an exponential number of bugs in their products, thanks to the use of LLMs and AI tools.
With help from its internal AI tools, Google says it has patched more security flaws in its Chrome browser in the last month than in the past two years combined.
The tech giant announced on Thursday that it has fixed a whopping 1,072 security bugs in the last two versions of Chrome, both released in June. That is more than the number of bugs patched in the previous 23 versions released over the last two years, which totaled 1,036 fixes.
Ever since the advent of LLMs, cybersecurity experts have warned that AI-powered systems would find an increasingly and exponentially enormous amount of bugs, forcing defenders to also use AI to get ahead of malicious hackers.
That prediction is starting to come true, and it’s backed by real data.
A chart published by Google, which the company revealed as part of a white paper on the company’s efforts to use AI to find flaws and patch them faster, shows the exponential increase. For context, Chrome’s 126 was released in June 2024, while the latest two Chrome releases, Chrome 149 and 150, were released last month. Google calls each version a “milestone.”
Doug Turner, Chrome’s director of engineering, told TechCrunch in a statement that LLMs have “fundamentally shifted the economics of cybersecurity, transforming vulnerability discovery into an automated, industrial-scale operation.”
“By applying models like Gemini, we are preemptively fixing vulnerabilities, outpacing our adversaries and making Chrome safer with every update,” said Turner.
Google is not the only company seeing this trend.
Earlier this month, Microsoft announced that it had patched a record 570 security flaws across its product lines as part of its monthly round of scheduled patches — colloquially known as “Patch Tuesday.” Microsoft cited its own use of AI to explain the sudden jump in bug fixes.
Apple, meanwhile, does not appear to be registering the same exponential increase. According to an independent count of bugs fixed in its products, Apple has patched 482 bugs in 2026, which is roughly on pace to equal or surpass the number of fixed bugs from last year, and also roughly equal from the number of bugs that Apple patched in 2015.
TechCrunch reached out to Apple for comment, but did not hear back.
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Lorenzo Franceschi-Bicchierai is a Senior Writer at TechCrunch, where he covers hacking, cybersecurity, surveillance, and privacy.
You can contact or verify outreach from Lorenzo by emailing lorenzo@techcrunch.com , via encrypted message at +1 917 257 1382 on Signal, and @lorenzofb on Keybase/Telegram.
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Key takeaways
- The use of AI in cybersecurity is redefining defense practices and accelerating vulnerability patching.
- Brazilian companies can take inspiration from Google's model to enhance the security of their products.
- The disparity in bug-fixing practices between companies like Google and Apple may impact user security perception.
Editorial analysis
Google's recent claim about fixing a record number of security flaws in Chrome highlights the growing importance of artificial intelligence in cybersecurity, especially in a landscape where Brazil and other nations are increasingly vulnerable to cyberattacks. The use of LLMs (Large Language Models) to identify and patch vulnerabilities not only accelerates the security process but also redefines cybersecurity defense practices, which need to evolve rapidly to keep pace with emerging threats.
For the Brazilian tech sector, this innovation could serve as a catalyst for the adoption of AI-based solutions. Local companies may take inspiration from Google's model to implement similar tools, increasing efficiency in flaw detection and consequently improving the security of their products. This is particularly relevant in a context where Brazil has faced a significant rise in digital security incidents.
Moreover, the disparity in bug-fixing practices between companies like Google and Apple suggests that AI adoption could be a competitive differentiator. While Google and Microsoft are at the forefront, Apple seems to be lagging, which could impact its security perception among users. This situation may lead to a reassessment of Apple's security strategies, especially in emerging markets like Brazil, where consumer trust is crucial.
What to watch for next is how other tech companies, both in Brazil and globally, will respond to this trend. The pressure to adopt AI in cybersecurity is likely to increase, and companies that do not adapt may face significant challenges. Additionally, the regulation and ethics surrounding the use of AI in cybersecurity should also be discussed as more companies adopt these technologies to protect their products and users.
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