While 75% of programmers utilize AI, a significant portion expresses skepticism about its reliability in delivering usable code. This concern is emphasized by open-source maintainers, who are not only facing challenges with ineffective AI tools but are also combating the malicious use of AI in weaponizing vulnerabilities. There’s a troubling trend where artificial intelligence generates false security issues, overwhelming the National Vulnerability Database, which is inadequately funded. As a result, software developers are compelled to spend time addressing non-existent threats, with some projects opting out of CVEs altogether.
Many AI large language models (LLMs) cannot deliver usable code for even simple projects, while open-source maintainers face AI weaponization undermining their efforts.
With the influx of bogus AI-generated security reports in the CVE lists, programmers and maintainers will need to waste valuable time on fake security issues.
Daniel Steinberg, leader of Curl, stated that the CVSS is ineffective, highlighting the struggles open-source projects face in managing security concerns.
As Dan Lorenic noted, the National Vulnerability Database has been overwhelmed and underfinanced, leading to a backlog of entries and false negatives in security tracking.
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