The boring pre-launch security check AI-built apps should run

AI builders make it wonderfully easy to get from idea to demo. Lovable can give you a SaaS-looking app in an afternoon. Bolt can wire together a prototype fast enough that your roadmap starts to feel slow. Cursor, Claude, Codex, Replit, and v0 all make the same thing possible in different ways: more product gets shipped by people who did not spend a week reading the codebase first.

That is mostly good. The uncomfortable part is that apps can now reach real users before anyone has done the boring launch hygiene.

Not a dramatic security audit. Not a month-long penetration test. Just the small checks that catch problems before your first strangers arrive.

This is the checklist I would run before sharing an AI-built app publicly.

1. Run one local CI hygiene check

Start with the part automation can actually check safely:

npx taskbounty-check@latest .

The TaskBounty CLI checks GitHub Actions and update-automation hygiene locally. It looks for things like broad workflow token permissions, movable third-party action references, and missing Dependabot or Renovate setup.

By default, it uses no network. It writes a local report. It does not upload your source code or workflow contents.

That last sentence matters. A local pre-launch check should not quietly become a data transfer.

The honest boundary: this is not a full app security audit. It checks CI and workflow hygiene. It does not prove your auth, payments, webhooks, or runtime behavior are safe.

2. Check that secrets are not in the browser

AI tools are very good at making code work in preview. They are less reliable at preserving the boundary between server-only secrets and client-side code.

Before launch, look for:

API keys in frontend files.
Supabase service-role keys in browser code.
Stripe secret keys outside server-only handlers.
Webhook secrets committed to the repo.
Environment variables prefixed in a way that exposes them to the client bundle.

If a key can be read by the browser, treat it as public. Rotate it and move the privileged operation server-side.

3. Re-check authorization on the server

Hiding a button in React is not authorization.

For every privileged thing your app can do, ask where the server verifies the current user is allowed to do it. That includes:

Reading private data.
Updating account or organization settings.
Creating invites.
Triggering AI actions.
Creating checkout sessions.
Viewing admin pages.

The common AI-built-app failure is a clean-looking UI with missing server-side checks. The route feels protected because the page hides the control. The API still accepts the request.

4. Add abuse limits before strangers arrive

Public endpoints attract behavior you did not test in preview.

At minimum, think through rate limits or abuse controls for:

Signup and login.
Contact forms.
Invite flows.
File uploads.
AI-generation endpoints.
Checkout/session creation.
Any endpoint that sends email.

This is not only a security issue. It is a cost-control issue. If your app calls an LLM or sends email, public traffic can turn a missing limit into a bill.

5. Verify webhook signatures

Stripe, Clerk, Supabase, GitHub, and most serious providers sign webhook events. Your handler should verify the signature against the raw request body before trusting the event.

If your app accepts webhook JSON and immediately updates state, a stranger may be able to spoof the event.

This is one of those bugs that looks harmless in a demo and becomes serious the moment payments or account state are involved.

6. Turn dependency updates into a habit

Dependabot and Renovate are not glamorous. That is the point.

If you are going to keep the app alive after launch, you need a steady way to see dependency and CI updates. Otherwise the launch version becomes the forever version, and the maintenance work piles up until nobody wants to touch it.

The local CLI can tell you whether update automation is present. The human part is deciding who reviews the update PRs and how quickly.

A copy-paste prompt for your AI agent

Paste this into Cursor, Claude, Codex, or your AI builder before launch:

I am about to launch this AI-built app. Review it using this checklist:

1. Run `npx taskbounty-check@latest .` locally and summarize GitHub Actions / CI hygiene findings only.
2. Check whether secrets, service-role keys, or API keys could reach the browser.
3. Verify privileged routes and database reads/writes have server-side authorization.
4. Identify public endpoints that need rate limits or abuse protection.
5. Check webhook handlers verify provider signatures.
6. Confirm dependency update automation exists.

Separate automated findings from risks that need human review. Do not upload source code or workflow contents. Ask before changing files.

What to do after the check

If the local check finds CI hygiene issues, fix those first. They are usually small and easy to review.

If the app handles users, money, private data, webhooks, uploads, or AI actions, do not stop at the CLI. Those parts need a human review because the risk depends on application logic, not only configuration.

You can start with the free AI App Security Check, use the pre-launch checklist, or copy the workflow snippets for Cursor, Claude, Codex, and GitHub Actions.

The goal is simple: keep the pre-launch check boring enough that people actually run it.