We looked at the security risks that repeatedly appear in AI-built applications, and one problem keeps standing out:
Exposed secrets.
API keys. Database credentials. JWT secrets. Service tokens.
They can end up directly inside source code — sometimes in places developers don't expect.
And once a secret is pushed to a public repository, deleting the line later doesn't necessarily mean the secret was never exposed.
What can happen?
🔴 A leaked API key can be abused to access a third-party service.
🔴 Cloud/API accounts can accumulate unexpected charges.
🔴 Database credentials can expose sensitive data.
🔴 Authentication secrets can potentially allow account or application impersonation.
Our VibeSafe research and security checks focus on these exact failure points in AI-generated code.
We found that AI-built applications need more than a simple “it works” test.
They need a “can I safely ship this?” test.
That's why VibeSafe checks for:
• Exposed API keys & secrets
• Database credentials
• JWT/authentication secrets
• SQL injection
• XSS
• Weak authentication
• Missing security controls
• Runtime errors
• Vulnerable dependencies
And importantly, finding a secret isn't the end of the process.
The key should be rotated, removed from the code, and stored securely — for example through environment variables or a proper secrets-management system.
Build fast. Ship safe.
🔗 VibeSafe: https://www.vibesafe.info/
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