TL;DR: Claude Code security review caught 4 of 6 security bugs in a small Next.js app. A plain AI prompt and a broader security audit found the same four, proving that one security check can still miss serious vulnerabilities.
Gitleaks found a deleted API key hidden in Git history, while Trivy flagged an outdated Next.js version with a known middleware bypass. All three AI reviews missed these issues.
This guide compares four security approaches and shows how to combine them into three practical levels of protection for AI-built apps.
Results: Claude Code found 4/6 bugs in 41 seconds. The plain prompt matched that score in 36 seconds.
Avoid: Relying on AI code reviews alone to secure your application.
Action: Combine Gitleaks, Trivy, and AI security reviews before deployment.
Table of Contents
Introduction
A simple one-sentence AI prompt caught the same 4 security bugs as Claude Code security review. And a full security audit? It still missed the same 2 vulnerabilities.
That's pretty surprising, especially when AI agents can now build entire apps in minutes. They can write working code while overlooking basic security checks, like making sure users can only access their own company's data.
So I tested 4 security approaches on a Next.js app with 6 deliberate vulnerabilities: free scanners, Claude Code security review, a broader AI security audit, and a plain AI prompt.
The results showed why relying on a single security tool can leave serious gaps.
In this guide, I'll break down what each approach caught, what it missed, and 3 practical levels of security you can set up to protect your AI-built apps before launch.
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