AI Security Vulnerability Rate compares the frequency of security issues found in AI-generated code versus human-written code. It helps teams assess whether AI tools are introducing additional security risk into the codebase. Tracking this metric is essential for maintaining security standards as AI adoption grows, informing decisions about where AI-generated code requires additional scrutiny or automated scanning.
Frequency of security flaws in AI code. Critical Risk: 45-51% of AI code can contain security flaws (Veracode study).
45-51% of AI code has security flaws. At scale, more AI code means more attack surface. Automated scanning becomes essential but can't catch all AI-specific patterns.
45-51% of AI code has security flaws. Directly increases production failures and security incidents.
AI-generated security vulnerabilities lead to production incidents.
Repeated security issues erode developer trust in AI-generated code.