Two different questions get mixed up under "is Lovable secure?".
The first is whether Lovable, the platform, is secure. It is. It is professionally run, it scans projects for common mistakes, and it publishes how it handles security in its security overview.
The second is whether the app Lovable generated for you is secure. That depends on what was asked for and what was checked, and for an app nobody has reviewed the honest answer is usually: not yet. None of the problems below show up in a demo. All of them show up when a curious user opens the browser's developer tools.
I rebuilt PropVPS from a Lovable prototype into a platform that takes payments and stores server credentials, so these are the checks I run first.
What is the most common security problem in a Lovable app?
Data that one customer can read from another.
Most Lovable apps keep their data in a Postgres database where the browser talks to the database directly. What stops one signed-in user from reading everyone's records is a set of access rules on each table, known as row-level security. If a table has no rules, or a rule that simply says "signed-in users may read", every customer can read every row. They do not need to be clever. They only need to change one value in a request.
List every table
Open the database and check that row-level security is turned on for each one. A table without it is open.
Read each rule out loud
"A user may read a row when its owner is that user" is a rule. "A user may read rows" is not.
Test as two people
Create two accounts. Sign in as the first, note the ID of one of its records, then sign in as the second and ask for that ID directly. You should get nothing back.
Test writing as well as reading
Try to change and delete the other account's record. Read rules are often right where update rules were forgotten.
Supabase explains how these rules work in its row-level security guide.
Are there secret keys in your front-end code?
Anything that reaches the browser is public, whatever the variable is called. Builders sometimes place a payment, email or AI key straight into front-end code, because that is the fastest way to make a feature work.
Search the project for the names of the services you use, and open your live site's network tab while you use the app. A public or "publishable" key is designed to be seen. A secret key, a service-role key or an AI provider key is not. If you find one:
- Move the call that uses it to the server: an edge function, an API route or a small backend.
- Rotate the key. You cannot know who has already copied it.
- Check the provider's usage log for calls you did not make.
Are permissions enforced, or only hidden?
An admin page that is hidden from the menu is not protected. If the only thing between a customer and the admin actions is a button that does not render, anyone who guesses the address or replays a request gets in.
Every sensitive action needs its check on the server: who is asking, and are they allowed to do this to this record? Test it the same way as the data rules. Sign in as an ordinary user and try the admin addresses and requests directly.
What else should be checked before launch?
Once the three big ones are closed, work through the rest.
| Area | What to confirm |
|---|---|
| Login | Email confirmation is on, password reset works, and redirect addresses list only your own domains |
| Payments | Webhook signatures are verified, and your database, not the browser, records what each customer has paid for |
| File storage | Buckets holding customer files are private, and links to them expire |
| Abuse | Sign-up, login and any AI-backed feature are rate limited, so one visitor cannot run up your bill |
| Logs | Errors are recorded somewhere you will see them, without customer data or keys written into them |
| Dependencies | Packages are up to date, and nothing unused is installed |
How far does Lovable's own security scan get you?
Further than nothing, and not all the way. Run it and fix what it reports. It recognises common mistakes, such as a table with no access rules at all.
What it cannot do is understand your business. It does not know that a clinic's receptionist should see appointments but not clinical notes, or that a reseller should see only their own customers. Rules like those are where real applications leak, and only someone who knows the business can write the test for them.
What if you find a problem after launch?
Fix the rule or move the key first, so the exposure stops. Then find out how far it went: database and login logs will show reads you cannot explain. Rotate every credential that was reachable. If customer data could have been read, treat it as an incident, write down what you know, and take advice on whether you have to notify anyone. Doing this early and plainly is always better than hoping nobody noticed.
When should you bring in an engineer?
A careful founder can run most of this list. Bring someone in when the app holds personal, financial or health information, when it takes payments, or when a check has failed and you are not certain the fix is complete.
That is the core of what I do under prototype to production: keep the screens and flows that work, and rebuild the parts that handle money, data and secrets. For the wider picture of what changes between a prototype and a product, see from Lovable prototype to production. If you are moving the app onto your own accounts at the same time, how to export a Lovable project covers the order to do it in.