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Veracode Report Shows 45% of AI Code Contains Security Vulnerabilities without Pass Rate Gains

11/12/2026 — 11/12, 08:15·1 sources (all)·1 reports (all)

Key takeaways

  • Veracode's GenAI code security report testing over 100 AI models found that roughly 45% of AI code generation tasks introduce security vulne…

Background & analysis

On November 12, 2026, DEV Community published a summary of Veracode's 2026 GenAI Code Security Report. Veracode tested over 100 AI models against the OWASP Top 10 and found that roughly 45% of AI code generation tasks introduced a security vulnerability. The average security pass rate across every model tested was 56%, and Java hit a 72% failure rate.

The article stresses that the figure to focus on is not the 45% itself, but the fact that the pass rate has not improved. More AI code is being written every day, yet security quality is not getting better. On the mitigation side, the piece notes that industry attention has centered on guardrails and the generation stage, while the other end of the pipeline, repairing vulnerabilities that have already been produced, still lacks sufficient tooling.

As of publication, these numbers and recommendations come from a single report, and no independent corroboration was available.

AI-generated from 1 reports · updated 2 days ago

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24-hour heatHeat index 35 · peak 69 · 23h ago
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Reports on this story headlines open the original

Yesterday
  1. According to DEV Community, Veracode's 2026 GenAI Code Security Report tested over 100 AI models and found that approximately 45% of code generation tasks introduced vulnerabilities, with overall security pass rates showing no improvement. The analysis highlights a critical gap in remediation tools for flawed AI-generated code.

    DEV Community · AIAI score 54

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