October GenAI Report: GPT-5 Sets New Code Security Benchmark

October 2025 results reveal clear leaders—and ongoing risks— in AI code security.

Report   October 2025 Update: GenAI Code Security Report   Assessing the security of using llms for coding   Download Now       The GenAI Code Security Report has been updated with rigorous October 2025 testing. Using our established 80-task benchmark, we evaluated the latest LLM releases for secure coding performance. The findings are direct: OpenAI Pulls Ahead: GPT-5 Mini delivered a 72% security pass rate, while GPT-5 followed at 70%. These are the highest scores recorded to date. Others Stagnate: Models from Anthropic, Google, Qwen, and xAI remain in the 50–59% range, with several showing slight declines from previous versions. Reasoning Matters: Models engineered for internal reasoning—like GPT-5's variants—consistently outperformed standard models, confirming that structured reasoning provides a tangible security advantage. Even with these advances, vulnerabilities persist in 28% of cases—reminding us that AI-generated code requires validation and layered security controls. Read the full report for data-driven guidance on choosing safer AI code assistants and mitigating risk.     Read Updated Report       65 Blue Sky Drive, Burlington, MA 01803     info@veracode.com      888-937-0329 © 2025 Veracode Inc. All rights reserved. Unsubscribe  |  Manage preference