Lovable scans every app before publishing and fixes access vulnerabilities in a couple of clicks

You built an app in an evening by chatting with AI, real people are already using it, and the question "Is this actually secure?" starts to feel uncomfortable. Lovable has responded with a post from its security team explaining what the platform handles itself, what it flags, and what it leaves to you. Let's look at what is actually useful.

What works without your involvement

Basic protection is enabled by default. Authentication and access controls are configured in advance, secrets are encrypted and kept out of frontend code, and the app is scanned as you build it. This applies equally to everyone, including free accounts. For vibe coding, that matters: someone without a technical background will not spot a secret key that has ended up in client-side code.

The "find, fix, release" cycle

Every time you publish, scanners check the code, application logic, database schemas, and row-level security (RLS) policies. These are the rules that determine who can read and modify individual rows in tables.

A simple example: you have an orders table, and its policy allows any logged-in user to read the entire table, rather than just their own orders. The app works perfectly, nothing crashes, and the vulnerability is invisible on the surface. Lovable says overly permissive access rules are the most common issue in apps on its platform. The scanner flags the problem before release, you click Fix, and the agent receives instructions for that specific finding and rewrites the policy.

There are other controls, too:

• you can run a deep scan at any time, for free: it takes longer but digs deeper. It is built on an in-house testing system trained on common issues in Lovable apps;
• the "Auto-fix security issues" option in project settings automatically resolves many findings with your next chat message;
• publishing controls: you or your workspace admin can block releases while critical findings remain.

That last point is perhaps the most practical. It turns security advice into a release gate, like a failing CI check before deployment.

What you still have to do

The platform is explicit: reviewing findings and taking action is your job, unless you hand it over to auto-fix. Sometimes the scanner flags something intentional, such as public usernames on a forum. That calls for your judgment: it is your app, and you have the final say on what goes into production.

What the post leaves out

This is a vendor post, and it contains no numbers. There are no figures for scanner accuracy, false-positive rates, or how many findings auto-fix resolves correctly. "Many findings" means not all of them. Auto-fix is also an agent that edits code and policies. You should at least look through the diff afterward, especially if the app handles payments or personal data. For a serious product, an automated scan does not, in my view, replace an independent audit.

Plans for this month include a redesigned security interface with clearer findings, plus regular scheduled scans on all paid plans, with no extra clicks required.

What to do with this

If you are building a product on Lovable:

1. Enable the setting that blocks publishing when critical findings remain, and ask the admin to do the same on a team project.
2. Enable auto-fix, but review changes wherever other people's data is stored.
3. Run a deep scan manually before your first public launch.
4. Revisit "intentional" findings: if data is deliberately public, document that decision.

If you use another vibe coding tool, the question is the same: does it check RLS policies and secrets before release, and can it block publishing? If not, you will have to work through this checklist manually.