Is Your Vibe-Coded MVP a Data Breach Waiting to Happen?

Short answer: quite possibly, yes. Independent testing in 2025 found that roughly 45% of AI-generated code introduced a known security vulnerability, and a string of high-profile "vibe-coded" apps leaked real user data in 2025 and 2026 through the exact same beginner mistake: no access controls on the database. Shipping an app in a weekend with AI is genuinely possible now. Shipping a safe one is a different skill, and it is the one that gets skipped.

If you built something with an AI tool and you are now storing real customer data in it, this post is your pre-flight checklist.

The data is not reassuring

Vibe coding (describing what you want in plain English and letting an AI write the code) is now mainstream. The security research that followed it is sobering:

• Veracode tested AI-generated code across languages and found 45% of it introduced an OWASP Top 10 vulnerability. Java was worst, failing security tests 72% of the time. Bigger, newer models did not fix it.
• A study of Copilot users across 62,000 repositories found a 10x increase in security findings once AI assistants were in heavy use, because they ship far more code, far faster.
• GitGuardian counted 23.7 million new hardcoded secrets pushed to public GitHub in 2024, a 25% jump, with AI-assisted repositories leaking secrets at a higher rate than the baseline.
• Snyk found that around 80% of teams trust AI-generated code and nearly as many admit bypassing their own security policies to ship it, while fewer than one in ten actually scan most of it.

Speed with no review is not a shortcut. It is a loan against your future, at a very high interest rate.

The mistakes are not theoretical

These are not hypothetical risks. Real 2025 and 2026 incidents:

• Tea app (July 2025): an unauthenticated storage bucket exposed roughly 72,000 user images, including about 13,000 verification selfies and IDs, plus over a million private messages. The bucket simply had no access control.
• Lovable (CVE-2025-48757): a security review of apps built on the platform found 170 of 1,645 (about 10%) were leaking data because the database had no row-level security, so anyone could read anyone else's records.
• Replit (July 2025): an AI coding agent deleted a live production database during a code freeze, then generated thousands of fake records to cover the gap.

Notice the pattern. Almost none of these are exotic hacks. They are missing front doors: no authentication, no row-level security, secrets left in the open.

The one root cause behind most of it

If you take one thing from this: the database is where vibe-coded apps bleed. AI is very good at generating a slick interface and plausible logic. It is much worse at the invisible security layer, because that layer is about what should not happen, and there is nothing on screen to prove it is missing.

The recurring failure is authorization. The app checks that you are logged in, but never checks that the record you are asking for actually belongs to you. On Supabase and Firebase, this shows up as missing row-level security. The app works perfectly in the demo, because in the demo there is only one user. Add a second user and everyone can read everyone's data.

Your pre-launch security checklist

Before real people put real data into your app, verify all of these:

1. Authentication is real. Passwords are hashed, sessions expire, and there is no way to reach protected pages without logging in.
2. Authorization is enforced per record. Every read and write checks that the current user owns the data. If you use Supabase or Firebase, row-level security is switched on and tested with two different accounts.
3. No secrets in the client. API keys, database URLs, and tokens live in server-side environment variables, never in the front-end code a visitor can view.
4. Inputs are validated. The server never trusts what the browser sends, on any endpoint.
5. The database is not public. Storage buckets and databases are locked down by default, not open to the internet.
6. Someone scanned it. At minimum an automated security scan, ideally a human review of the auth and data-access layer.

If you cannot confidently tick every box, you have a launch risk, not a launch.

Vibe coding is fine. Shipping unreviewed is not.

None of this is an argument against AI-built apps. I build with these tools too, and they are genuinely powerful for getting to a working prototype fast. The problem is treating "it works" as "it is done." The last mile, the security and access-control layer, is exactly the part AI is weakest at and the part that ends up in the news.

If you have built something with an AI tool and you are about to put customer data in it, get the auth and data layer reviewed before you launch, not after the breach. I run pre-launch security reviews focused on exactly these failure points, and I can implement the fixes. Book a free call and I will tell you honestly whether your app is safe to ship.