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The Latest AI Code Security Benchmark Is Useful for One Reason

The newest AI code security benchmark is worth reading, but probably not for the reason most people will share it.

The headline result is easy to repeat: across 534 generated code samples from six leading models, 25.1% contained confirmed vulnerabilities after scanning and manual validation. GPT-5.2 performed best at 19.1%. Claude Opus 4.6, DeepSeek V3, and Llama 4 Maverick tied for the worst result at 29.2%. The most common issues were SSRF, injection weaknesses, and security misconfiguration.