Perfai Security
Find & fix live vulnerabilities in Vibe Apps with 1-prompt.
Start new thread

How do you ensure your vibe-coded AI app is secure before deploying?

by•

Everyone is obsessed with how fast tools like Cursor, Claude Code, Replit and Lovable let you ship apps.


But almost nobody is asking the obvious question: Can your users see someone else's data?

Most vibe-coded apps have thousands of permission combinations across roles, APIs, pages, and databases. AI is great at building features, but it doesn't automatically guarantee that every authorization check is correct.

AI-built apps have broken access controls far more commonly than most developers expect.

So and team built .

Instead of reading your source code, you simply paste your app's URL.

It automatically:

  • Maps your app like a real user

  • Tests thousands of authorization and access-control scenarios

  • Finds vulnerabilities like IDOR, privilege escalation and broken access control

  • Generates fix instructions for Cursor, Claude Code, Copilot, Replit and other AI coding assistants

  • Re-tests to verify the issues are actually fixed

  • No security expertise required.

Enter your vibe-coded app's URL and find vulnerabilities in minutes with .

98 views

Add a comment

Replies

Best

This is a problem that doesn't get enough attention.
AI can generate features incredibly fast but security and authorization logic still need verification.

Testing from the developed app instead of relying only on code analysis is an interesting approach.

The biggest misconception about AI-built apps is that if the code works, it's ready for production. Functionality and security are two very different things.

Modern AI coding tools can generate impressive features quickly, but they don't automatically guarantee that every permission check, API endpoint, or database query enforces the right access controls. A single missing authorization check can expose sensitive user data.

Before deploying an AI-generated app, I would focus on these areas:

  • Test authorization, not just authentication. Logging in successfully is only the first step. Verify that users can't access resources belonging to other users by changing IDs, URLs, or API requests.

  • Check every user role. Admins, editors, members, and guests should each have only the permissions they actually need. Overly broad permissions are a common source of security issues.

  • Inspect APIs directly. Many vulnerabilities exist in backend endpoints rather than the user interface. Test whether APIs properly validate ownership and permissions.

  • Automate security testing. Manual testing is useful, but automated tools can simulate thousands of access-control scenarios much faster and more consistently than a human tester.

  • Retest after fixes. A vulnerability isn't truly resolved until you've confirmed the fix works and hasn't introduced new problems.

One emerging approach is using tools that analyze a deployed application from the outside, behaving like a real user rather than relying solely on source-code reviews. They can identify issues such as broken access control, insecure direct object references (IDOR), and privilege escalation before attackers do.

AI can dramatically speed up development, but security still requires deliberate verification. Shipping quickly is valuable—but shipping securely is what earns users' trust.

Shipping fast is only half the battle. Many vibe-coded apps work technically but fall short on UX, information hierarchy, accessibility, and trust. Even on this page, I can already spot design improvements that would make the product feel more credible and easier to use. AI builds features. Designers build products people trust.