AI-Generated Applications: Security's New Blind Spot

Analyzing applications built through vibe coding, the same patterns repeat: API keys embedded in browser code, admin routes without authentication, public storage buckets, environment variables exposed in accessible files, and a complete absence of HTTP security headers.

None of these flaws stop the application from working — which is why they go unnoticed. All of them, however, are detectable by the automated sweeps that scan the internet 24 hours a day.

Traditional developers learn security by osmosis: code reviews, incidents lived through, team culture. People who build with AI skip that formation — and there is nothing wrong with that, as long as an equivalent safety net exists.

The problem is that traditional audit tools were designed for specialists: reports full of jargon, unprioritized findings, and fixes that require experience to apply.

If the application was built by talking to an AI agent, fixing it should work the same way. That is exactly Coruzen Security's bet: alongside the plain-language executive report, every analysis generates a remediation report in markdown, structured to be handed directly to your AI agent.

The loop closes: the AI built it, the scanner found the flaws, and the same AI fixes them — with precise, file-by-file instructions, without requiring the builder to become a security specialist.