Report by Veracode
2026 GenAI Code Security Report
Key Findings
Models generate compilable code at a near-universal syntax pass rate of approximately 100%.
OpenAI’s GPT-5.5 achieved a 68% security pass rate.
Coding-specialized models averaged a 51% security pass rate, compared with 52% for general-purpose models.
By model size, large models average a 53% security pass rate, while medium and small models each average 51%.
The average security pass rate for AI-generated code across tracked models was 56%.
Alibaba’s Qwen3.7-max recorded a 50% security pass rate, generating vulnerable code every other output in this test.
Reasoning models average a 56% security pass rate versus 51% for non-reasoning models.
Security pass rates by programming language range from Python at 63% down to Java at 30%.
AI generates roughly half of all committed code.
AI-generated code fails security checks nearly 44% of the time when given no security-specific guidance.
Six of the 11 evaluated models had security pass rates between 50% and 53%.
The best model available still failed nearly one in three security tasks.