74 CVEs From AI-Generated Code: The Security Crisis Vibe Coders Can't Ignore

The Cloud Security Alliance released a jarring finding in April 2026: 74 CVEs (Common Vulnerabilities and Exposures) have been traced to AI-generated code, with 35 of those emerging in March 2026 alone. Let that land: more than one new exploitable vulnerability per day last month, all from code written by AI assistants. This isn't a theoretical risk. These are real CVEs — with CVE IDs, CVSS scores, and active exploit reports — that researchers have traced back to code generated by AI coding tools deployed in production systems. The concentration in March 2026 suggests that as AI-generated code moves from early adopters to mainstream enterprise deployment, the security debt is materializing faster than many assumed. If you're a vibe coder, an AI-assisted developer, or an engineer at a company that has adopted Claude Code, Cursor, or GitHub Copilot at scale, this data demands attention. This post breaks down what types of vulnerabilities are appearing in AI-generated code, why AI models produce them, what the Cursor RCE (CVE-2026-26268) tells us about toolchain security, and — most importantly — what you can actually do about it in your workflow right now.