Recent research from UC Berkeley reveals that advanced AI models are significantly improving their capabilities in finding bugs in software, evidenced by their discovery of 17 new vulnerabilities in 188 open-source codebases using the CyberGym benchmark. Among these, 15 were categorized as zero-day bugs, highlighting their potential critical risk. Experts anticipate these AI tools will serve as powerful assets in cybersecurity, although they also present risks for malicious use. The research underscores a transformative phase for cybersecurity as AI models evolve with better coding and reasoning skills.
The latest AI models are excelling at detecting bugs, identifying 17 new vulnerabilities, including 15 critical zero-day bugs, showcasing a pivotal shift in cybersecurity.
As AI continues to evolve in its ability to reason and code, it is transforming how we approach cybersecurity vulnerabilities and exploits.
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