AI App Security Checklist
A production-focused checklist for founders and AI builders shipping apps from Cursor, Lovable, Replit, Bolt, v0, Claude Code, and similar tools.
runtime note
Think of this like checking a clinic before patients arrive: the front desk can look ready while records, medicine, and staff-only areas still need restricted access.
Quick checklist
- 01Keep production secrets out of anything a visitor browser can download.
- 02Make sure login protects the private pages, not only the menu links.
- 03Check that one user cannot open another user private data.
- 04Restrict access to uploaded files, storage buckets, and generated assets.
- 05Validate webhook signatures for Stripe, Supabase, Resend, and similar services.
- 06Scan browser bundles and source maps for keys, tokens, internal URLs, and debug logs.
- 07Keep watching the technologies your app uses, because new public security flaws can be discovered after launch.
- 08Have a rollback plan before changing auth, payments, or data access.
Why a working app can still be unsafe
AI coding tools make an app feel ready very fast. The forms submit, the dashboard opens, the checkout appears, and it is easy to think the product is done.
Security is the part users do not see. It is more like access rules for records, medicine, staff-only rooms, and private files behind the reception desk. This checklist helps a non-technical owner ask the right questions before adding real users, payments, customer records, patient data, or internal business data.
Secrets are master keys, not normal settings
A secret is a key that lets software talk to your database, payment provider, email service, or storage. If that key leaks into the browser, it is like leaving a master key on the front counter.
The technical names are environment variables, browser bundles, source maps, service-role keys, API tokens, and client-side config. You do not need to master those terms, but someone needs to prove that privileged keys are not visible to visitors.
- ▸Move privileged keys to server-only environment variables.
- ▸Rotate any key that was committed, printed in logs, or shipped to the browser.
- ▸Disable public source maps unless you intentionally need them and know what they expose.
A login page is not the same as security
A login screen is just the front door. The real question is whether every private room behind that door checks who is entering.
In technical terms, every route, server action, API endpoint, dashboard screen, and private download needs authorization. The simple test is this: log in as User A, copy a private URL or ID, then try it as User B. If User B can see or change User A data, the app has a real security bug.
- ▸Check direct URLs, not only navigation links.
- ▸Test read and write actions separately.
- ▸Block private API endpoints before they query sensitive records.
Your database needs rules, not only tables
During development, the goal is usually to make the app work. In production, the goal changes: every read and write must prove who the user is and which records that user is allowed to touch.
This is where terms like RLS, row-level security, Firebase rules, Appwrite permissions, Convex functions, and server-side checks appear. They are different names for the same basic idea: one user should not be able to open another user file cabinet.
- ▸Turn on row-level or document-level authorization where the platform supports it.
- ▸Use least privilege for service roles and backend functions.
- ▸Test with multiple real user accounts before launch.
Payments are more than a checkout button
A checkout button can look convincing while the business logic behind it is weak. The dangerous part is not only charging the card; it is deciding who gets access after payment.
The server should trust Stripe or the payment provider through signed webhooks, not values sent by the browser. A user should never unlock a paid feature by changing a URL, replaying an old callback, or editing client-side state.
- ▸Validate webhook signatures.
- ▸Store payment state server-side.
- ▸Test failed payments, canceled subscriptions, duplicate events, and expired checkout sessions.
A safe app today can become risky later
A one-time review is only a snapshot. It says the app looked acceptable at that moment. It does not mean the app will stay safe next week.
There are two ways risk changes. Your team can change the app, or the world can change around it: researchers can discover a new public security flaw in a package, framework, database, or tool your app already uses. Continuous monitoring is how the owner finds out when something important changes.
- ▸Run recurring external scans.
- ▸Track newly disclosed vulnerabilities against the technologies detected in production.
- ▸Send clear owner-facing alerts when a fix needs action.
FAQ
Is an AI-built app less secure than a traditional app?
Not automatically. The risk is speed: the app can reach real users before anyone has checked secrets, login rules, database access, payments, and monitoring carefully.
Can I use this checklist without being technical?
Yes. You do not need to understand every technical term. You need to know what to ask your AI tool, developer, or platform to verify.
Do I need continuous monitoring if the first scan is clean?
Yes. A clean scan is like a good exam result today. Tomorrow, your app can change, or a new public security flaw can be discovered in something your app already uses.