Lovable’s native security scan and its Aikido pentest partnership catch a real and growing share of common issues before you publish, and you should use them. What no platform can do — structurally — is be the independent checker of its own work. An independent audit adds three things every builder leaves to you: actually testing that the lock locks (not just that a rule exists), fixes made by a real person who answers to you, and independent proof you can show a customer.
Comparisons like this usually turn into a hit piece on the platform. This one won’t — we’re platform-neutral by design, and the honest read is that the builders have gotten meaningfully better at security. The useful question isn’t “is the native scan good?” (it is) but “what does each layer catch, and where does the last mile have to come from someone else?”
What the platforms already ship — credit where it’s due
The AI builders have invested seriously in security, and pretending otherwise would be dishonest:
- ›Lovable shipped native security scans in April 2025, announced an Aikido pentest partnership (about $100 per test) in March 2026, and added auto-fix on publish in June 2026.
- ›Supabase ships a Security Advisor and enables RLS by default on new tables — responsible defaults that prevent a whole class of mistakes.
- ›v0 reports having blocked 17,000+ insecure deploys, catching problems before they ever reach the internet.
If you build on any of these, turn these features on and use them. They handle a large share of the easy, high-frequency issues at zero marginal cost. This post is about the part they leave for you.
The feature comparison
Here is what each layer actually catches. “Platform native scan” is the built-in check (Lovable’s scan, Supabase Advisor); “Aikido test” is the partnered point-in-time pentest; “Independent audit” is an outside party like Prodable.
| Capability | Platform native scan | Aikido test | Independent audit |
|---|---|---|---|
| Pre-publish static / config scan | ✓ | ◐ point-in-time | ✓ |
| Checks a policy exists | ✓ | ✓ | ✓ |
| Proves the policy actually blocks (active read/write) | — | ◐ | ✓ |
| Business-logic / authorization gaps | — | ◐ | ✓ |
| Continuous re-scan + drift alerts | — | — | ✓ |
| Human-delivered fix, accountable to you | ◐ auto-fix | — | ✓ |
| Independent attestation you can show a customer | — | ◐ | ✓ |
| Cross-platform / vendor-neutral | — | ◐ | ✓ |
✓ full · ◐ partial / conditional · — not the tool’s job. Aikido and the platforms are strong at what they’re built for; the point is the shape of the gap, not a scoreboard.
The structural argument: a builder can’t audit itself
This isn’t a dig at any one company — it’s a conflict of interest that any platform grading its own output would have. When the tool that generated your code is also the tool that certifies your code, a passing grade is worth less, because the incentive is to declare the output shippable. That’s exactly why the platforms’ own terms push the correctness of your access rules, your business logic, and your ongoing monitoring back onto you: it’s the part they say is your responsibility, not theirs.
Independence is the whole value of an audit. An external checker has no stake in your code looking finished, which is precisely what makes the attestation meaningful to a third party — your first enterprise customer doesn’t want the vendor’s self-assessment, they want someone outside the vendor to have looked.
When to reach for each
- ›Every publish → the platform’s native scan. Free, fast, catches the common stuff before it ships. No reason not to.
- ›A point-in-time checkpoint → Aikido or similar. Useful when you want an external pentest snapshot at a specific moment.
- ›High-stakes moments → an independent audit. Before a fundraise, after an incident, before your first enterprise customer, or any time you need a diligence artifact and someone accountable to you rather than to the platform.
- ›Ongoing → continuous monitoring. A one-time pass, from anyone, goes stale the moment you ship your next feature. Drift detection is its own layer.
That last point is also why we don’t sell the scan itself. A one-shot scanner has a brutal retention cliff — the problem appears solved after the first use, so people stop paying. One vibe-security scanner, launchguard.dev, publicly reported 500 users and about $10 of revenue over nine months. The durable value isn’t the scan; it’s the relationship around it: catching the regression your next feature introduces, shipping the fix with a human, and keeping an attestation current. The free scan is our credibility engine, not our product — which is exactly why it stays free.
Why we stay platform-neutral
Prodable deliberately never specializes as “for Lovable.” We support Lovable, Bolt, v0, Cursor, Replit, Bubble, and Base44 out of the box, and the independent layer is the same across all of them — they share the same default exposures: leaked API keys, open databases, missing access controls. Neutrality is the moat, not a marketing slogan: an auditor tied to a single builder would inherit that builder’s blind spots, and the founder shipping across two tools would need two auditors. The layer above the platforms is only trustworthy if it isn’t one of them.
The pain underneath all this is real and category-wide, not platform-specific: Veracode’s 2025 analysis found 45% of AI-generated code fails security tests, and Wiz Research puts it at roughly 1 in 5 vibe-coded apps carrying security risks. Those numbers describe the whole population of AI-built apps — which is exactly why the independent, cross-platform layer exists.
FAQ
Isn't Lovable's built-in scan enough on its own?+
For the common, easy-to-detect issues, it's genuinely good and you should use it on every publish — Lovable shipped native security scans in April 2025 and auto-fix on publish in June 2026, and it catches a real share of misconfigurations before they ship. What it can't do is be the independent auditor of its own output. A platform grading its own work has a structural conflict of interest, and the layer platforms explicitly say is your responsibility — correctness of your access rules, business logic, and continuous monitoring — is exactly the layer that matters most.
Is Prodable a competitor to Lovable?+
No — we sit one layer above the builders and stay platform-neutral. We support Lovable, Bolt, v0, Cursor, Replit, Bubble, and Base44 out of the box, and we never specialize as 'for Lovable.' The platforms do the building; we do the independent checking, human-delivered fixes, and attestation. The neutral layer is deliberately the point: an auditor that only worked with one builder would inherit that builder's blind spots.
What does 'independent' actually buy me?+
Three things a platform structurally can't provide: active correctness-proving (we make an anonymous request and see whether your data comes back, rather than checking that a policy exists), human-delivered fixes from someone accountable to you rather than to the platform, and an independent attestation you can show a customer or investor — a Verified Secure badge that says an outside party checked, not the vendor grading its own homework.
When should I pay for an audit instead of relying on the built-in tools?+
Use the platform's native scan continuously — it's free and fast. Reach for a point-in-time third-party test like Aikido when you want an external checkpoint. Reach for a full independent audit at the high-stakes moments: before a fundraise, after an incident, before onboarding your first enterprise customer, or any time you need a diligence artifact and someone answerable to you. The tools are complementary, not either/or.
Does Prodable only work with Lovable apps?+
No. Everything here applies identically to Bolt, v0, Cursor, Replit, Bubble, and Base44 — they share the same class of default exposures (leaked keys, open databases, missing access controls). We lead with Lovable in this post only because it's the most-searched, but the independent layer is deliberately platform-neutral.