By Vibe App Scanner · Updated October 5, 2026
How to review app security with your AI coding tool
A list of issues is only useful if you can turn it into tested changes. Use this workflow to combine a live scan, source review and permission tests without treating an AI-generated fix as automatically correct.
Looking for the checklist itself?
Use the detailed vibe coding security checklist for individual checks across database access, secrets, authentication, APIs and deployment. This guide explains how to work through them and verify the fixes.
1. Define the access your app should allow
List your roles, private data and sensitive actions. A signed-out visitor, an ordinary user and an administrator should not automatically have the same access. Write down who may read, create, update or delete each type of record.
A small permissions table gives you something concrete to test. A login screen or a successful HTTP response is not that evidence.
2. Scan the deployed app
Use a reachable web URL you own or have permission to test. A deployed-app scan can inspect exposed scripts, endpoints and data access, but cannot see all private source code or dashboard settings. Configure a dedicated test login if you want supported authenticated checks.
Read the coverage notes as well as the findings. A blocked request, skipped check or empty response does not prove that a control is working. Scans can trigger firewall rules and rate limits.
3. Review the code and configuration the scan cannot see
Ask your coding tool to inspect server-side authorization, secret handling, input validation and sensitive workflows. Review Git history and deployment settings separately. Supabase publishable or anon keys are intended for clients; service-role and secret keys are not.
Keep this review tied to actual files and configuration. Ask the tool to explain uncertainty rather than inventing a vulnerability or claiming a live scan has verified unseen code.
4. Give your AI tool the evidence, not just a severity label
Use Export for AI in the VAS report to bring available findings into your coding tool. Include the affected file or endpoint, the observed behavior and the access you intended. Never paste real credentials or private customer records into a prompt.
Have the tool explain the cause and propose the smallest relevant change. Review the diff before applying it, especially SQL policies, authentication changes and dependencies.
5. Test allowed and denied actions
Use staging, two dedicated test users and disposable records. Confirm that the owner can perform intended actions, another user cannot access private records, and a signed-out client sees only public data. Test read and write permissions separately.
Do not delete real records to prove a finding. A successful DELETE request that affected no rows does not demonstrate that an existing row was deletable. Use controlled fixtures and verify the outcome.
6. Deploy the reviewed fix and verify again
After the change passes your tests, deploy it through your normal release process and repeat the relevant scan. Check that the original exposure is no longer observed and that legitimate users can still use the feature.
Keep the before-and-after evidence and note what remains untested. A clean scan is useful evidence about the paths checked, not a guarantee that every possible issue has been found.
A prompt for reviewing a finding
Copy this into your coding tool with redacted findings and the relevant project context. It asks for verification and review, not an automatic production change.
Review the attached security finding against this codebase. 1. Identify the affected code and explain whether the evidence supports the finding. 2. State what you cannot verify. Do not assume a successful response proves data access or modification. 3. Propose the smallest fix that preserves the intended user permissions. 4. Add tests for the allowed user, a different user and a signed-out client where applicable. 5. Use staging and disposable fixtures for write tests. Do not modify production data. 6. Show the proposed diff and tests before applying changes. Do not deploy automatically. Finding and redacted evidence: [paste here] Intended roles and permissions: [describe here]
Match the review to your stack
- Supabase scanning: check exposed data and secret keys, then review grants and RLS with separate user roles.
- Lovable scanning: inspect the deployed app, then bring the findings back to your project for review.
- Firebase scanning: combine observable access checks with a review of your Security Rules.
- Live scanning versus source review: understand which evidence each method can provide.
Start with your deployed app
Your first scan is free, with issue counts and one finding revealed in detail. Only scan apps you own or have permission to test.