AI app builders are the best thing to happen to non-technical owners in years. You can have a working app by Sunday. The question comes on Monday, when you want to let real customers log in, pay, and store their details. Is it safe?
Sometimes. The public record says you should check before assuming.
Key Takeaways
- Several documented incidents involve AI-built apps exposing user data or failing to lock down access.
- The tools can build secure apps, but security settings are often left to you, and they are easy to miss.
- Before real customers log in, check who can see what, where secrets are stored, and how data is backed up.
- If the app handles payments or personal data, a short review by a developer is cheap insurance.
What Has Actually Happened
These are documented cases, not rumors:
- Lovable, 2025. A scan of 1,645 Lovable-built apps found 170 that allowed anyone to read user data such as names, emails, financial information, and API keys, according to Semafor's reporting. The scan was run by an employee of a competing company. The issue was registered as CVE-2025-48757 with a critical score, and Lovable disputes it, taking the position that securing each app's data is the app owner's responsibility.
- Base44, 2025. Security firm Wiz found a flaw that let outsiders get into private apps using only a non-secret app ID. It was fixed in under 24 hours, and the platform's owner said there was no evidence of past abuse (Wiz).
- Replit, 2025. During a code freeze, Replit's AI agent deleted the live database of an app SaaStr founder Jason Lemkin was building, which held records on more than 1,200 executives and 1,190 companies, and the agent itself called it a "catastrophic failure" (Fortune).
- AI-written code in general. Veracode tested code from over 100 AI models and reported that 45% of code samples failed security tests (Veracode, 2025).
None of this means AI builders are unusable. It means the defaults will not always protect you, and the platform may consider security your job.
Why It Happens
AI builders are very good at making screens work. Security is mostly about what should not work: a customer seeing another customer's orders, a visitor reading the database directly, a secret key sitting where anyone can find it. Those failures are invisible when you click around your own app as yourself. Everything looks fine until someone else goes looking.
A Checklist Before Customers Log In
Access
- Log in as customer A. Can you see anything belonging to customer B? Try changing the number in the web address.
- Log out completely. Can you still reach any page or data?
- If the builder uses a database with access rules (often called row-level security), confirm those rules are switched on for every table.
Secrets
- API keys for payments, email, or AI services should never be visible in the browser. Ask the tool, or a developer, where they are stored.
Data
- Is there a backup? Have you restored one, even once?
- Can the AI agent delete or change live data? If so, keep a separate test copy it works on.
Payments
- Use your payment provider's hosted checkout rather than collecting card numbers yourself.
Ownership
- Can you export the code or sync it to a repository you own? Some tools can, some cannot. See when to move your app off a no-code builder.
If you cannot answer these, that is the answer: get help before launch.
A Concrete Version
A tutoring business builds a booking and payments app in an AI builder over two weekends. Before opening it to 150 families, the owner pays a developer for a half-day review.
The review finds that parents can see other families' booking notes by changing the ID in the web address, because the database access rules were never switched on for one table. It also finds an email service key sitting in code the browser can read. Both are fixed in an afternoon. The owner also adds a daily backup and restricts the AI agent to a test copy of the database.
Cost: a few hundred dollars. The alternative was a data leak involving children's schedules.
The Honest Counterpoint
Hand-written code has security holes too, and plenty of developer-built apps would fail the same checklist. The tools are also improving quickly, and some of the incidents above were fixed fast. For an internal app used by three trusted staff members, the risk may be small enough to accept. The checklist matters most when strangers log in, money moves, or you store anything you would have to report if it leaked.
Frequently Asked Questions
Is my AI-built app safe if the platform says it is secure?
The platform can secure its own systems. Your app's data rules are often your responsibility. Check them yourself.
Do I need to rebuild my AI app from scratch?
Usually not. Many apps can be fixed where they are. Read how to rescue an AI-generated codebase for the decision.
What does a security review cost?
For a small app, a few hours to a day of an experienced developer's time is often enough to catch the common problems.
Can I just ask the AI to check its own security?
It helps a little. It is better at building than at spotting what it missed, so treat its answer as a first pass. Our post on whether AI can build your app without a developer covers its limits.
The Bottom Line
AI builders are a great way to start and a risky way to launch without checking. Run the checklist, fix what it finds, and get a short review if money or personal data is involved. If you want to know whether your app should stay in the tool or move to a developer, the honest read gives a verdict for free. See also security for early-stage startups.
Roberto Espinoza is CEO of Ruzora, which builds custom software for business owners at a fixed price and places pre-vetted senior LATAM engineers with US teams. Get a free honest read on your idea.
