What should you ask an expert to audit in your AI-built app?

An audit is most useful when it has a defined scope. For a vibe-coded app moving toward real users, the scope is: secrets and API key placement, server-side authentication, object-level data isolation, payment integration, error logging and observability, and dependency health. Arriving with those six areas named — and a clear description of what your app does and who uses it — turns a vague security review into a focused, actionable conversation.

Why scope matters more than a checklist

"Can you check if my app is secure?" is a generous starting point. But without a defined scope, an audit can run long, cost more, and still leave you uncertain about the areas that matter most for your specific app.

The six areas below are the ones that consistently produce the most consequential findings in AI-built apps. They are also the areas where a non-technical founder can arrive with meaningful context — what the app does, how data flows, what services it connects to — that makes a technical reviewer's job substantially faster.

You do not need to know the answers before you arrive. You need to know the questions.

The six areas of a practical audit for a vibe-coded app

1. Secrets and API key placement

The question: Are all API keys and service credentials stored server-side and absent from the browser?

What an expert checks: Opens the app in a browser and inspects the network tab for credentials. Reviews the generated frontend code for hardcoded secrets. Confirms that the builder's secrets manager or environment variable system is being used correctly. Checks git history if the project has a repository — keys that were committed and removed from the code may still be in the history.

What to bring: a list of every external service your app connects to (OpenAI, Stripe, Supabase, Twilio, SendGrid, and anything else), and whether you have confirmed that each service's credential is server-side.

Replit's documentation warns that hardcoded secrets can leak through public app URLs, GitHub, copy-paste, screen sharing, or streaming. Lovable's security guide advises verifying that third-party keys are server-side and absent from the frontend bundle.

2. Server-side authentication

The question: Is authentication enforced on the server before any user data is returned — not just before the UI loads?

What an expert checks: Makes direct API requests to your app's data endpoints without going through the browser UI. An endpoint that requires login in the UI but returns data when called directly (without an authentication token) has server-side authentication missing. Also checks session expiration, token validation, and whether account management flows (password reset, email verification, deletion) work correctly and affect only the intended account.

What to bring: the list of features your app has that require login — and any uncertainty about whether those features are protected at the API level or only at the UI level.

3. Object-level data isolation

The question: Can one logged-in user access another logged-in user's records by changing an ID in a URL or request?

What an expert checks: Creates two test accounts and attempts to access one user's records while authenticated as the other. Tests every major resource type — notes, orders, profiles, invoices, files, messages — not just the main one. Also tests admin or role-based access: can a standard user access admin-only features by manipulating a request?

What to bring: a description of what kinds of records your app stores, and whether different users have different levels of access.

OWASP identifies Broken Object Level Authorization as one of the most common and most impactful API vulnerabilities. The SusVibes benchmark found a 61% functional pass rate but only a 10.5% secure pass rate for AI code generation — this gap is largely explained by authorization checks the AI did not add.

4. Payment integration

The question: Is the payment flow implemented correctly — server-side checkout, webhook validation, and spend controls in place?

What an expert checks: Reviews the Stripe (or equivalent) integration for whether the secret key is server-side only, whether payment intent creation happens on the server rather than the client, whether Stripe webhooks are validated using the webhook signing secret before acting on them, and whether spend limits and rate limits are configured. Also checks whether test mode credentials are not deployed to production.

What to bring: which payment provider you use, whether you have already launched paid features, and whether you have set spend limits and rate limits on payment-related endpoints.

A founder publicly reported that exposed Stripe keys in his vibe-coded app led to 175 customers being charged $500 each and $2,500 in Stripe fees. The Stripe safely article in this series covers the payment integration specifics in detail.

5. Logging and observability

The question: When something goes wrong for a user, do you find out — and does it leave a record?

What an expert checks: Whether errors in the backend produce logs that you can read. Whether authentication failures, payment failures, and data-write errors are captured. Whether there is any alerting when unexpected errors occur or when volume exceeds normal patterns. Whether the logs are accessible to you without requiring a developer to run a command in a terminal.

What to bring: how you currently find out about errors (user reports? nothing until you notice?), and whether you have access to any logs from your builder or hosting provider.

OWASP API Security (API4:2023) covers unrestricted resource consumption and recommends limits alongside visibility into consumption. Without logging, an app that is being abused looks the same as an app that is working correctly until a service bill arrives.

6. Dependencies

The question: Does your app rely on packages or libraries with known security vulnerabilities?

What an expert checks: Runs a dependency audit on the generated codebase — a standard tool (npm audit, yarn audit, bundler-audit, or equivalent) that checks installed packages against a database of known vulnerabilities. Flags packages that are out of date, unmaintained, or have published CVEs. Notes whether the AI-generated code imported packages unnecessarily or from unusual sources.

What to bring: whether your project has a dependency manifest (package.json, Gemfile, shard.yml) that you can share, and whether anyone has run a dependency audit since the app was built.

Veracode tested more than 100 AI models and found that 45% of AI-generated code samples introduced OWASP Top 10 vulnerabilities. Dependency vulnerabilities are a contributing factor in that number — the AI may import a package that was current when it was trained but has since had vulnerabilities disclosed.

The full scope in one table

Use this to frame your audit request, confirm what was and was not covered, and follow up on anything the audit did not reach.

What a good audit report tells you

A useful audit for a vibe-coded app should tell you:

• Which of the six areas were reviewed and how.
• Specifically what was found in each area — not just "auth is weak" but "an unauthenticated request to /api/user/42 returns user data."
• Which findings are urgent (fix before re-opening to users), which are important (fix before paying users), and which are low-risk (fix when you have time).
• What the fix looks like for each finding — enough context that a developer can act on it without needing to re-discover the problem.
• What the audit did not cover — so you know the scope of what was verified and what remains unknown.

A report that says "the app passed our security review" without these specifics is not a useful audit. The specifics are the value.

Starting the conversation with AgentC

This is exactly what AgentC does for non-technical founders and operators. The right starting point is not a form or a fixed-price package — it is a demo conversation where we look at what you have built, ask the questions that matter for your specific app and risk class, and tell you clearly what is safe to ship and what needs work first.

Bring to that conversation: a link to your app, a description of what it does and who uses it, and any specific concerns you already have. The six areas above are the agenda — we work through them with your actual app in front of us, not in the abstract.

Related guides in this series

• Is your AI-built app safe to put in front of customers? (the pillar guide) — the full triage
• The pre-launch security checklist for Lovable, Replit, Bolt, and Base44
• You already shipped and now you are worried: a 60-minute containment plan
• Can someone see another user's data in your AI-built app?
• Can you add Stripe safely to a vibe-coded app?

Frequently asked questions

How much does a security audit for a vibe-coded app cost?

It depends on the scope, the size of the app, and whether the work involves a codebase review, live testing, or both. For a small vibe-coded app moving toward its first paying users, a focused audit of the six areas above can often be completed in a few hours of conversation and testing. The right starting point is a demo conversation — after looking at the app, we can scope what the actual review involves and what it costs.

Do I need a formal penetration test?

A penetration test is a specific type of security assessment where a tester attempts to actively exploit vulnerabilities. For most non-technical founders moving from prototype to paid users, a practical security review of the six areas in this article is more appropriate than a formal penetration test — it is faster, less expensive, and directly addresses the recurring failure modes in AI-built apps. A penetration test makes more sense once the app is in production with real users and real revenue, and is especially relevant for regulated categories.

Can I self-audit using the guides in this series?

Yes — the guides in this series are designed to be actionable without a developer. The network tab check for API keys, the two-account test for data isolation, and the Supabase dashboard checks for RLS are all things a non-technical founder can run themselves. Where self-auditing has limits: code-level issues (dependency vulnerabilities, server-side authentication middleware, webhook validation) require someone who can read the generated code. Knowing which of the six areas you can check yourself and which you need help with is the right way to use these guides.

What if the audit finds a serious problem?

Findings are not verdicts — they are a prioritized list of what to fix. A serious finding means you know what the problem is and can address it deliberately, which is better than not knowing. For most issues in vibe-coded apps, the fix is a configuration change or a code change to one or a few endpoints. For the most serious findings — exposed keys, complete absence of object-level authorization, misconfigured payment integrations — the fix is urgent, but it is still a fix.

About this guide

Written by Seth Tucker, founder of AgentC Consulting. Seth spent approximately five years as a security engineer on election infrastructure used by roughly one in three American voters, holds SOC 2 Type 2 and ISO 27001 experience, and now helps non-technical founders and operators build, review, and trust AI-built applications.

Last updated: June 2026. Sources cited throughout reference original research, vendor documentation, and public reporting.