Despite advancements in models like GPT-5.5, Gemini 3, and Claude 4, the security pass rate for LLM-generated code has remained stagnant at approximately 55% for two years. These models frequently introduce known security vulnerabilities in nearly half of the tasks they handle, even though their syntactic correctness is high. While LLMs can increase coding speed, they do not inherently improve the security of delivered software. AI
IMPACT LLM-generated code continues to introduce security vulnerabilities, indicating a need for improved security practices and tools beyond simple code generation.
RANK_REASON The item discusses a research finding about the security pass rate of LLM-generated code, citing a specific benchmark and mentioning multiple LLM models. [lever_c_demoted from research: ic=1 ai=1.0]
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