Security Scanner Purpose-Built for Vibe-Coded AI-Generated Applications
53-67% of AI-generated code contains security vulnerabilities, and CVEs from AI-generated code jumped from 6 in January to 35 in March 2026. Traditional SAST tools miss logic-layer bugs that are unique to AI code patterns: backwards auth middleware, missing ownership checks, exposed API keys. Eight scanners now exist but none covers all three security layers (source, config, runtime) in one tool.
The accelerating CVE count (6 to 35 in 3 months) means this market is growing faster than the tools. Don't build another generic SAST. Build a scanner that understands AI-specific patterns: the backwards conditional, the missing ownership check, the hardcoded API key that looks like a placeholder. Train on real vibe-coded repos, not traditional vulnerability databases. The business model is a GitHub Action that blocks PRs.
landscape (4 existing solutions)
The vibe coding security space exploded from zero to eight tools in under a year, but they're all partial. URL-only scanners miss source bugs. Source-only scanners miss runtime exploitability. The critical gap is a tool that combines static analysis, configuration auditing, AND runtime behavior testing in one pipeline, specifically tuned for AI code anti-patterns rather than traditional vulnerability databases.