Google says AI tools helped it fix more Chrome bugs in June than in the previous two years combined, TechCrunch reports. The claim points to a rapid change in how large software teams find and patch security and reliability problems.
For years, researchers have warned that large language models and related AI tools could uncover bugs at a much higher rate. That can help defenders close vulnerabilities faster, but it can also increase pressure on teams if attackers gain similar capabilities.
Chrome is a useful test case because browsers are complex, widely used and heavily targeted. Finding more bugs is good only if maintainers can triage them, confirm severity and ship fixes without creating new problems.
The practical implication is that software security may become less about whether AI can find flaws and more about whether organizations can absorb the volume. Better discovery changes the bottleneck from searching for bugs to prioritizing and patching them safely.