2026 Genai Code Security Report: Key Findings
AI Is Getting Smarter. AI-Generated Code Isn’t Getting Safer.
Watch Veracode’s on-demand webinar to see what nearly four years of GenAI code security data means for software trust, release decisions, and enterprise risk.
AI-generated code is scaling fast, but its security performance is not keeping up. Across more than 100 models tested since 2023, the average security pass rate remains stuck at 56%, even as syntax performance approaches perfection. For security leaders, this is no longer a developer tooling discussion. It is a verification, release-control, and accountability issue. In this webinar, Veracode leaders unpack the findings from the 2026 GenAI Code Security Report and turn them into practical actions for secure software delivery at scale.
Webinar Snapshot
What You’ll Learn:
- Why a 56% security pass rate changes the risk model for organizations scaling AI-assisted development
- What the gap between stronger and weaker vulnerability classes reveals about where verification must live outside the model
- Why “we use the best model” is not a defensible security strategy when even leading models still fail a meaningful share of security tasks