If your AI-built app has real users, private data, multiple account roles or payments, a security review is a sensible purchase before you scale it. But the price depends on what you are asking someone to prove. A quick automated scan, an independent code-and-database review, remediation work and a formal penetration test are four different services.
For a founder comparing developer quotations in 2026, I would use these illustrative planning allowances, not market averages or fixed prices:
| Scope | Initial planning allowance | What you should receive |
|---|---|---|
| Founder self-check and automated tools | Free to low-cost tools | A starting list of warnings, not an assurance report |
| Focused independent review of one small app | $500–$1,500 | Defined access-control, secrets, authentication and critical-flow checks; findings with evidence |
| Review plus targeted security remediation | $1,500–$5,000 | Fixes to identified problems, regression tests and a retest |
| Complex multi-role or business-critical remediation | $5,000–$15,000+ | Deeper policy redesign, migrations, integrations, deployment work and verification |
| Independent penetration test or regulated assessment | Separately scoped | A specialist engagement with agreed methodology and reporting |
These are my project-scoping estimates, not a survey of security firms. A small external scanner can cost far less, and a formal specialist assessment can cost far more. If your app has no real data and is only a disposable demo, you may not need a paid audit yet.
Why a working AI app can still need an audit
Lovable, Bolt, Cursor and coding agents can help you produce a convincing interface quickly. That says little about what a user can reach by calling the API directly. A page can hide an admin button while the underlying database still allows the wrong person to read or change records.
The practical question is not “Did AI write this?” It is “What evidence shows that the app enforces the business rules when a user does something unexpected?”
For a Supabase-backed product, Supabase’s Row Level Security documentation recommends checking table grants and policies and testing allowed and denied operations. Lovable’s own security guidance acknowledges the importance of RLS policies that are not overly permissive.
That is a reason to test—not proof that every AI-built application is insecure.
What should a paid security audit actually cover?
A credible quote should name the assets and user roles being reviewed. For a typical founder-built SaaS product, I would expect the following areas.
Database grants and row-level permissions
Inventory exposed tables, views and callable database functions. Check which roles have access, whether RLS is enabled where required, and whether each policy allows only the intended operation.
Then test with at least two separate ordinary accounts and an admin account. Can Customer A read, update or delete Customer B’s record by changing an ID? Can a member reach another organization’s invoices? Can a viewer perform a manager’s action? Does an unauthenticated request expose private data?
An RLS toggle being enabled is not a passing test. The policy and the actual request outcome must agree. Supabase also distinguishes table grants from RLS: a missing grant can cause a permission error even when a policy looks correct. I explain that distinction in Lovable and Supabase permission-denied troubleshooting.
Authentication, roles and privileged operations
Review sign-up, login, password reset, invitation acceptance, session expiry, role changes and account deletion. The auditor should look for permissions enforced only in the interface.
A useful acceptance matrix might look like this:
| Test actor | Attempt | Expected result |
|---|---|---|
| Signed-out visitor | Read a private invoice | Denied |
| Customer A | Read Customer B’s invoice | Denied |
| Team viewer | Change a billing plan | Denied |
| Authorized manager | Approve a permitted request | Allowed and recorded |
| Former member | Reuse access after removal | Denied |
The important deliverable is a repeatable set of tests against your actual product—not a generic screenshot of a dashboard.
Secrets, storage and server functions
Check for secret or service-role keys in client bundles, repository history, logs and environment configuration. Supabase’s secure-data guidance explains that publishable keys can be used in frontend apps with appropriate controls, while secret/service-role keys must stay on trusted servers.
Also check file buckets and download permissions. A protected database row does not automatically make a linked uploaded document private. Supabase documents separate Storage access policies.
A review should inspect privileged Edge Functions, API routes and database functions as well. If a key has leaked, removing it from the current code is not enough; rotate or revoke it and assess where it was used. GitHub provides secret-scanning guidance, but availability depends on repository and plan settings.
Payments and business-state changes
If the app takes money, test more than the successful checkout screen. Confirm server-side payment verification, trusted amount calculation, webhook authenticity, duplicate-event handling and how a failed or delayed event affects access or fulfilment.
For example, one confirmed payment must not create two subscriptions or issue two tickets because a webhook is delivered twice. Paystack’s webhook documentation explains why webhooks should not depend on the customer completing a browser redirect.
This is both a security issue and a product-reliability issue. If the application has financial or regulatory obligations, ask for specialist review of those obligations separately.
Audit, fix or rebuild: which should you buy?
Buy a focused review when the app works, the architecture is understandable and you mainly need independent evidence about access, credentials and critical workflows. Do not buy a rebuild before anyone has shown what is broken.
Buy review plus remediation when the audit identifies specific defects that can be corrected without replacing the product: unsafe policies, privileged functions, leaked credentials, unreliable payment-state transitions or missing negative tests. Require the developer to retest the corrected behavior.
Consider a partial rebuild when the trust boundary itself is wrong—for example, several client screens directly perform administrative actions, account ownership is inconsistent across tables, or a data model makes safe authorization unreasonably difficult. Keep working components where possible.
Hire a specialist security assessor when you need an independent penetration test, a formal assurance deliverable, or advice on regulated/sensitive data. A developer’s code review should not be sold as a certification or as proof that an app has no vulnerabilities. The OWASP Application Security Verification Standard offers a useful framework for specifying technical verification requirements in a contract.
If you need broader launch work beyond security, my guide to hiring a developer to finish an unfinished app covers stabilization and takeover costs. If you need the tests themselves, start with my AI-built app security audit checklist.
What changes the price most?
The number of screens is rarely the best measure. A ten-screen app with five user roles, private files and subscription payments can be harder to verify than a larger public-content application.
A quotation becomes more expensive when it includes multiple organizations or tenants, complex role inheritance, many database tables, privileged background jobs, payment flows, production data migrations, undocumented integrations, or a need to test without disrupting active users.
Separate review, repair, retest and ongoing monitoring in the quote. A $700 report that only lists problems is not equivalent to a $3,000 engagement that fixes them and proves the important boundaries work. Equally, you should not pay $5,000 for an undefined promise to “make it secure.”
What should the final deliverables look like?
Before approving an engagement, ask for a written scope that names the repository, environments, user roles, databases, storage buckets, API functions and payment integrations being examined.
The final handover should include a prioritized finding list, reproducible evidence with sensitive data redacted, the affected component, business impact, recommended fix, remediation status, test results, residual risks and a clear statement of what was not tested.
For fixes, require version-controlled migrations or code changes, regression tests for both allowed and denied actions, and a deployment/rollback plan. Production access should be least-privilege and time-limited. Do not email an auditor your service-role key or share an owner password simply because they request it.
A useful final question is: “Can another developer rerun these tests after our next AI-generated feature?” If not, the audit may be a one-time opinion rather than a durable safety improvement.
When should you contact a developer?
If your Lovable, Supabase or other AI-assisted MVP is close to launch but you cannot explain who can access what, start by sharing the product’s user roles, key workflows and known problems—not private credentials.
I work on MVP architecture, permissions, payment-state reliability, deployment and product handoff. I can help scope an engineering review and remediation plan, and identify when an independent security specialist is the appropriate next step. Tell me about your app or see my MVP development service before commissioning a large rebuild.
