AI-generated code is still frequently failing security checks — with Claude and GPT-6 topping the leader board
- AI-generated code security improved for the first time in a year, with vulnerability rates dropping from 44% to 38%
- Top models performed better at preventing common flaws like XSS, but still struggled with complex security reasoning
- Researchers stress AI-generated code still requires independent security testing and verification before deployment
Computer code generated by frontier AI models has gotten more secure and consequently - contains fewer vulnerabilities.
This is according to a new report by Veracode, which claims this is the first significant improvement in a year.
In July 2025, Veracode started releasing its GenAI Code Security Report, which analyzed code generated by LLMs for vulnerabilities and security risks. Since then, the company’s researchers noticed a trend - the code was functioning almost perfect, but on the security side it left much to be desired.
Are XSS flaws worth the trouble?
“We’ve been analyzing code generated by multiple LLMs for more...
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