PatchLabs vs Lovable security scan
Lovable checks your app as you build. PatchLabs proves the fix before it ships.
Lovable’s built-in security tools scan your app when you publish and can fix some issues inside the editor. PatchLabs works on the code in GitHub: it rebuilds your database, writes a migration and proves it as three different people before your engineer approves it.
Choose Lovable’s scan when
You build and publish in Lovable and want checks with no setup at all.
- You want a quick scan on every publish, in seconds, without leaving the editor
- You want broad coverage: dependencies, and a deep scan of all app code for auth, payments, injection and leaked secrets
- You want the Lovable agent to apply fixes inside your build
- You want to block publishing when a critical issue is open
Choose PatchLabs when
You want each data-access fix proven, and reviewed by your engineer.
- You want every fix tested as an anonymous visitor, a signed-in stranger and the owner before it ships
- Your code is in GitHub, whether it came from Lovable, Bolt, Replit or Cursor
- You want a migration file your engineer can read and approve, not a change made inside the editor
- You want an independent second opinion with monitoring, alerts and signed receipts
How each one works
One runs inside the builder. One runs on a copy built from your repo.
- Build in Lovable
- Publish
- Quick scan, seconds
- Critical / Warning / Info
- Fix in the editor
- Live
- Public repo
- Rebuild from migrations
- Read as anon, stranger
- Write migration
- Prove × 3
- Engineer approves
Lovable’s flow as described in its own docs and blog. Lovable also offers a deep scan (2 to 4 minutes, on demand or scheduled on Enterprise) and optional third-party connectors.
Side by side
The details.
| PatchLabs | Lovable security scan | |
|---|---|---|
| Where it runs | On your GitHub repo, in our disposable lab | Inside Lovable, on publish or on demand |
| What it checks | Who can read which rows (core), plus exposed keys in code and full git history | Quick scan: database review, dependency audit, MCP server check. Deep scan: all app code, including access control, auth, payments and leaked secrets |
| Writes fixes | A SQL migration for every leak, plus code notes | Auto-fix for a few critical quick-scan findingsDeep-scan findings aren’t auto-fixed. “Try to fix all”: 10 free fixes per account, renewing 24 hours after use, then credits |
| Proves the fix as anon, stranger and owner | Every fix, before you see it | Not described in Lovable’s docs |
| Who approves the change | Your engineer, by applying a migration. Nothing changes until then | Fixes are made by the Lovable agent inside the build flow |
| Works outside Lovable | Any public repo with Supabase migrations | Lovable projects only |
| Blocks publishing | No publish gate yet | Optional; on by default for new Enterprise workspaces |
| Scheduled scans | Every plan (monthly on Free) | Enterprise |
| Dependencies and wider code | Not in scope | Dependency audit and deep code scan |
| Learns from your choices | Remembers tables you mark as meant to be public | Security memory learns from dismissals |
| Evidence you can share | Report link and a signed (Ed25519) receipt | JSON report download; a trust centre page on your app’s domain |
| Price | Free for 1 appThen from £19/month | Scans free; fixes use the free quota, then credits; workspace security centre on Business and Enterprise |
| On its limits | Proof covers the access rules we test, not the whole app | Lovable says its tools cannot guarantee complete security |
Last checked 10 Nov 2026 against Lovable’s public docs and blog. Report a correction.
The difference
A fix should be tested as the people it’s meant to stop.
An access rule that looks right can still let a signed-in stranger read other people’s rows, or lock the owner out of their own. We rebuild your database, apply the fix and run the same read as each person. Only when all three pass do we call it proven.
In our lab study, the pipeline fixed 20 new apps on its own: 18 of 20 fixes passed this proof with no human, and the other 2 went to a person (n=20, 9 Nov 2026).
-- From our demo app. Proven: anon DENIED,
-- stranger DENIED, owner reads own row.
DROP POLICY "Profiles are viewable by everyone" ON public.profiles;
CREATE POLICY "Users can view own profile" ON public.profiles
FOR SELECT USING (auth.uid() = user_id);Use both
Keep Lovable’s scan on. Add proof for the data that matters.
Leave Lovable’s checks on
Let the quick scan run on every publish. Run a deep scan before launch.
built inPaste your repo here
If your project’s code is in a public GitHub repo, paste it. We rebuild the database from its migrations.
median 3.5 minApprove the proven fix
Commit the migration on GitHub in one click, or download it. Then publish from Lovable as usual.
your engineer decidesGet told if it comes back
Scheduled re-checks email you, or post to Slack, when a new leak appears after a later change.
weekly or monthly
Lovable’s scan passed. Do I still need this?
Not always. If your app holds no personal data, the built-in scan may be enough. If it stores emails, phone numbers, addresses or dates of birth, a proof that strangers can’t read them is worth having. In our study of 318 rebuilt apps, 106 let the wrong people read personal data (PatchLabs lab study, Nov 2026).
Will your fix conflict with changes Lovable makes?
The fix is an ordinary migration in supabase/migrations. Your engineer applies it like any other change, and our scheduled re-checks will tell you if a later change reopens the leak.
Is PatchLabs a Lovable connector?
No. We have no partnership with Lovable and nothing runs inside the editor. We work from your GitHub repo.
Do you check dependencies like Lovable does?
No. We focus on who can read your data, plus exposed keys in your code and git history. Keep Lovable’s dependency audit on.
Sources
Where these facts come from.
- Lovable docs: Security · scan types, auto-fix limits, “Try to fix all” quota, publish blocking, plan gating, connectors, the limits disclaimerchecked 10 Nov 2026
- Lovable blog: how Lovable protects your apps automatically · quick scan timing (10 to 15 s), deep scan (2 to 4 min), security memorychecked 10 Nov 2026
- PatchLabs lab study · 106 of 318 apps; 18 of 20 fixes (n=20, 9 Nov 2026)ours
Independent
PatchLabs is independent and not affiliated with Lovable. Product names are used only to identify them. Facts were checked on 10 Nov 2026 and may have changed since; we update these pages when we hear about a change.
Free check
See the proof for your own app. The first one is free.
Paste your public repo. You’ll get the leaks, the fix and the proof on one page, in a few minutes.