Verifying AI-Generated Code Has No Security Holes
Before deploying AI-generated code, apply a specific security checklist (SQL injection, exposed secrets, input validation) — don't assume it's secure just because "it works".
Goal
Close the gap between "code works functionally" and "code is secure", since these are entirely separate standards, neither guaranteeing the other.
Steps
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1
After the generated code works functionally, explicitly ask AI: "review this code for security vulnerabilities only, ignore functionality".
Expected Outcome
Evidence base
School: Software Security / AI-Assisted Development
Founders: OWASP · GitHub Security Lab (2023)
GitHub Security Lab and OWASP studies on AI-generated code show measurably higher rates of common vulnerabilities (injection, exposed secrets) compared to reviewed human code, because the model optimizes for quick functionality, not default security.
Keywords
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