They said according to Google, Chrome 149 and 150 fixed 1,072 security bugs surpassing the total number fixed across the previous 23 Chrome updates combined. That's a number. Wow. The company says it now uses large language models throughout the vulnerability management process including discovering flaws, reproducing reports, determining severity, assigning bugs to developers, generating candidate patches and creating tests. In other words, they are fully vertically integrated with AI in their vulnerability management. Sounds like maybe Apple needs to say, hey guys, you're not far away from this. Maybe we could have lunch. Google began using LLMs to improve security fuzzing in 2023 before working with Project Zero on Naptime, a system that provided AI models with specialized vulnerability research tools.

That would serve as extremely useful prompting for AI agents to, you know, context for AI agents to take into consideration. I just think that's brilliant. Bleeping computer continues, the company says, meaning Google, its multi-agent AI workflows help rather than replace existing security testing, including fuzzing, which remains effective at discovering complex vulnerabilities. Google's also seen a sharp increase in reports submitted through the Chrome Vulnerability Reward Program, and by March 2026, the company had received more security bug reports than during all of 2025. So, by the first quarter of this year, more than all of the previous year.