AI App Security Check Before You Launch
AI-built apps can look ready in preview while secrets, auth, permissions, Supabase RLS, service role keys, database rules and user data access still need proper review.
A working screen does not prove private data, keys or permissions are protected.
We review exposed keys, auth, database rules, API routes and user isolation together.
Some issues can be repaired quickly, while others need restructuring before launch.
Exposed API keys, Supabase service role keys or unsafe environment values
Login exists but users, roles, protected routes or database rules are unclear
Users may see other users' data or the app has not been tested with real accounts
Get My Website Checked
Send the URL and what’s wrong. We’ll review the issue and let you know the sensible next step.
Common AI App Security Problems We Check
Most security risks in AI-built apps come from the gap between a working preview and a production app that handles real users, private data, payments or API access.
API keys exposed in frontend code
Private provider keys, payment secrets or AI API tokens are visible in browser-side files.
Supabase service role key exposed
A highly sensitive Supabase key appears in code or configuration that should never be public.
Row Level Security missing or weak
Tables load data but do not clearly isolate rows by user, team or role.
Users can see other users' data
Dashboards, records, API responses or exports mix private information between accounts.
Auth exists but authorisation is missing
Login works, but protected routes, server checks and user permissions are incomplete.
Public tables or open database access
Generated database setup is too permissive for real users and private records.
Client-side checks pretending to be security
Buttons are hidden in the interface but the underlying data or action is still reachable.
Secrets committed into code
Keys, tokens or private values appear in repositories, screenshots, logs or old commits.
Unsafe API routes or functions
Routes trust browser input, skip ownership checks or return more data than needed.
Launching before live data access is tested
The app has not been checked with real accounts, roles, data flows and production settings.
How We Check AI App Security Risks
We review the app as a real production system, not just a preview that appears to work.
Review the live app behaviour
We check the real user journey, not only the builder preview.
Check frontend exposure and client-side secrets
We look for keys, tokens and private values that should not be visible in the browser.
Review auth, authorisation and protected routes
Login, user roles, ownership and server-side checks are reviewed together.
Check database policies and access rules
Supabase RLS, table access and user isolation are checked against the intended app behaviour.
Review API routes, functions and variables
Server functions, API calls and environment settings are checked for unsafe access patterns.
Identify repair or launch-blocking issues
You get a clear view of what can be repaired, what needs restructuring and what should block launch.
Can AI App Security Problems Be Fixed?
Diagnosis should decide whether the safer route is repair, restructure or rebuild before real users rely on the app.
Some issues can be repaired by rotating exposed keys, moving secrets server-side, correcting database policies, tightening API access or fixing auth checks.
Some apps need cleaner separation between client, server, database and permissions before they can safely handle users or private data.
A rebuild only makes sense when the app is too exposed, tangled or unsafe to repair cleanly. Diagnosis should decide that before real users rely on it.
Security review is not about blaming AI. It is about checking whether a fast-built app is safe enough for real users, real data and real consequences.
AI App Security Guides
Use these guides to understand the most common security and data-risk problems in AI-built apps.
API Keys Exposed in AI-Generated Code
What exposed keys mean, when to rotate them and what not to paste into AI tools.
Supabase RLS Check for AI-Built Apps
Plain-English checks for row-level security, user isolation and database access.
Supabase Service Role Key Exposed
Why this key is sensitive and what to check first if it may be public.
AI App Auth and Authorisation Check
Check login, protected routes, roles and user permissions before launch.
AI App User Data Exposure
What to do if users may see records, dashboards or data that is not theirs.
AI App Security Checklist Before Launch
A practical pre-launch review for keys, auth, APIs, data access and rollback.
AI App Security Check FAQs
Clear answers before you launch an AI-built app with real users or private data.
What is an AI app security check?
It is a practical review of the areas where AI-built apps commonly carry risk, including exposed keys, auth, authorisation, database access, Supabase RLS, API routes and user data isolation.
Can an AI-built app be unsafe even if it works?
Yes. A working interface does not prove secrets are private, database rules are correct or users can access only their own data. Preview and production behaviour can be very different.
What should be checked before launching an AI-built app?
Check exposed keys, environment variables, auth, authorisation, protected routes, database policies, API routes, user data isolation, admin areas and rollback options before launch.
What happens if an API key is exposed?
The response depends on what the key can access and where it was exposed. Private keys may need rotating or revoking, and the app should be changed so secrets are not shipped to the browser.
Can you check Supabase RLS and database access?
Yes. Supabase review can include RLS, table access, user ownership, anon versus service role key usage, API routes and whether users can see only the data they should.
What is the difference between authentication and authorisation?
Authentication confirms who a user is. Authorisation decides what that user is allowed to see or do. A login screen is not enough without the right permission checks.
Can every AI app security issue be repaired?
No. Some issues can be repaired, some need restructuring, and some apps are too exposed or tangled to fix cleanly. Diagnosis should decide the safest route.
Not Sure If Your AI App Is Safe To Launch?
Get it checked before real users, private data or payments depend on it.