Google's OSS-Fuzz project has successfully identified 26 vulnerabilities utilizing AI-driven fuzzing, demonstrating significant improvements in software security testing.
'As far as we can tell, this vulnerability has likely been present for two decades and wouldn't have been discoverable with existing fuzz targets written by humans,' said Google's security team.
The use of AI in security research is essential, as threat actors may have already exploited security flaws that remain hidden from conventional methods.
The introduction of AI-based fuzzing aims to enhance fuzzing coverage, enabling more thorough testing of codebases, thus improving overall security.
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