How I Would Fix exposed API keys and missing auth in a Supabase and Edge Functions AI-built SaaS app Using Launch Ready.

Opening

If I see exposed API keys and missing auth in a Supabase and Edge Functions SaaS app, I assume two things first: the app was built fast, and secrets were treated like frontend config. That usually means the product may already be leaking data, accepting unauthenticated writes, or letting anyone call expensive AI or database endpoints.

The most likely root cause is a broken trust boundary between the client, Supabase, and Edge Functions. The first thing I would inspect is where the key lives: frontend env files, bundled code, deployed Edge Function env vars, and Supabase table policies.

Triage in the First Hour

1. Check the deployed frontend bundle for hardcoded secrets.

• Open DevTools, inspect network requests, and search the built assets for `supabase_key`, `service_role`, `anon`, OpenAI keys, or any third-party tokens.
• If a secret is in the browser bundle, treat it as compromised.

2. Review Supabase Auth settings.

• Confirm whether email/password auth, magic links, OAuth, or anonymous access is enabled.
• Check if users can reach protected screens without a valid session.

3. Inspect Row Level Security on every exposed table.

• In Supabase SQL editor, confirm RLS is enabled.
• Verify there are policies for select, insert, update, and delete where needed.

4. Review Edge Functions entry points.

• Check whether functions accept requests without verifying JWTs.
• Confirm CORS settings are not wide open to every origin unless truly required.

5. Check logs for suspicious traffic.

• Look for spikes in function invocations, 401s that should be 403s, repeated calls from unknown IPs, or large token usage from one user agent.

6. Rotate anything exposed before you do deeper debugging.

• If a service role key or AI provider key was public, rotate it immediately.
• Do not wait for code cleanup before revocation.

7. Inspect deployment environment variables.

• Confirm production secrets are set only in server-side runtime environments.
• Make sure no secret is stored in Vercel client vars, public GitHub repos, or build-time frontend config.

8. Check account permissions.

• Verify who has access to Supabase project settings, API keys, and service roles.
• Remove stale collaborators and unused tokens.

## Quick local search for likely secret leaks
grep -RniE "service_role|anon key|sk-|supabase.*key|authorization" .

Root Causes

| Likely cause | What it looks like | How I confirm it | |---|---|---| | Service role key used in frontend code | App works locally and in prod until someone inspects network or source maps | Search built assets and repo for `service_role` or provider secret strings | | Missing RLS on tables | Any logged-out user can read or write data through Supabase APIs | Run direct API calls against tables and check if rows return without auth | | Edge Function accepts unauthenticated requests | AI actions or database writes happen with no session check | Inspect function logs and test with no `Authorization` header | | Weak CORS setup | Requests succeed from random origins or malicious embeds | Review function headers and browser console behavior | | Publicly exposed env vars | Secrets appear in client-side config or build output | Audit hosting dashboard and bundled JS for public variables | | Over-permissive custom claims or policies | Users can access other users' records by changing IDs | Test cross-account access with two separate sessions |

The business risk here is not abstract. It means fake signups, unauthorized data reads, AI spend abuse, support tickets from confused users, and potential privacy incidents that can delay launch by days or weeks.

The Fix Plan

My approach is to stop the leak first, then restore auth boundaries, then redeploy with tests. I would not keep patching features while the app still trusts the wrong caller.

1. Rotate exposed secrets immediately.

• Regenerate any leaked API keys.
• Replace them everywhere they are used: hosting platform secrets store, Supabase Edge Functions env vars, CI/CD secrets manager, and any external automation tools.

2. Remove all privileged secrets from the browser.

• The frontend should only use the Supabase anon key.
• Any action requiring elevated permissions must move behind an authenticated server-side function.

3. Enforce authentication at every sensitive edge function.

• Require a valid Supabase JWT before executing writes or AI calls tied to user data.
• Reject requests early with 401 if no token exists and 403 if the token lacks permission.

4. Turn on RLS everywhere it matters.

• Enable RLS on all user-facing tables.
• Write policies based on `auth.uid()` so users can only access their own rows unless there is an explicit admin path.

5. Split public and private operations cleanly.

• Public endpoints should only return non-sensitive data.
• Private endpoints should live behind auth checks and least-privilege logic.

6. Tighten CORS to known origins only.

• Allow your production domain plus staging if needed.
• Do not use wildcard origins on functions that handle auth tokens or sensitive operations.

7. Add rate limits to expensive endpoints.

• Put guardrails on AI generation routes and write-heavy functions so one bad actor cannot burn through your budget overnight.

8. Move any service-role work into controlled server code.

• If a function needs elevated privileges for admin workflows or back-office tasks, isolate that code path and log it clearly.
• Never let the browser call service-role powered endpoints directly.

9. Add audit logging for security-relevant events.

• Log auth failures, policy denials, admin actions, secret rotations, and unusual request volume.
• Keep logs useful but never store raw secrets or full tokens.

10. Redeploy in a staged way if possible.

• First deploy backend fixes behind feature flags or limited traffic.
• Then ship frontend updates once auth behavior is verified end to end.

A simple rule I follow: if a request can change data or trigger spend, it must prove who it is before I let it through.

Regression Tests Before Redeploy

I would not ship this fix until these checks pass:

• Anonymous user cannot read private records through Supabase REST or client SDK calls.
• Anonymous user cannot create rows in protected tables.
• Logged-in user can only access their own records.
• One user cannot fetch another user's project by changing an ID in the URL or request body.
• Edge Functions reject missing tokens with 401 within one request round trip.
• Edge Functions reject invalid tokens without exposing stack traces or internal details.
• Frontend still loads correctly using only public env vars.
• AI-related endpoints cannot be called repeatedly without rate limiting or quota checks.
• CORS blocks requests from unapproved origins while allowing production domains.

Acceptance criteria I would use:

• Zero exposed service-role keys in client bundles after build inspection.
• 100 percent of sensitive tables have RLS enabled with explicit policies reviewed by me or another senior engineer.
• Auth-required endpoints return 401/403 correctly on at least 10 negative test cases per route.
• No critical security findings remain in manual QA before deploy.

I also want one real-world smoke test with two accounts: 1. Account A creates data and sees it normally. 2. Account B tries to access A's record and gets blocked every time.

Prevention

To keep this from happening again, I would put guardrails around code review, deployment, and product design.

• Security review gate
• Any PR touching auth, storage rules, env vars, webhook handlers, or Edge Functions needs explicit review for authorization logic and secret handling.

• Secret management discipline
• Use environment variables only on trusted server runtimes.
• Rotate keys quarterly at minimum; immediately after any exposure incident.

• RLS as default
• Every new table starts with RLS enabled unless there is a documented reason not to do it.

• Auth-first UX
• Do not hide critical flows behind ambiguous guest states unless they are truly public.
• Show clear loading states when session checks happen so users do not retry broken actions unnecessarily.

• Monitoring
• Alert on unusual function invocation spikes within 5 minutes。
• Alert on repeated auth failures from one IP range within an hour。
• Watch p95 latency on Edge Functions; keep sensitive routes under 300 ms p95 where possible so retries do not multiply load.

• Test coverage
• Add automated tests for unauthorized reads/writes across every core resource type.
• Keep security regression coverage above 80 percent on auth-related code paths if possible.

• Dependency hygiene
• Review packages that touch auth helpers, JWT parsing rules, storage clients, and SDK wrappers before each release cycle because supply-chain issues often show up as permission bugs later.

When to Use Launch Ready

Launch Ready fits when the product works but is not safe to expose publicly yet.

I would recommend this sprint if:

• Your app is already built but not production-safe,
• You need a clean launch path fast,
• You want someone senior to fix deployment risk without turning this into a long consulting engagement,
• You need monitoring so you know if auth breaks after release instead of hearing about it from users first.

What you should prepare:

• Repo access
• Supabase project access
• Hosting dashboard access
• List of current domains and subdomains
• Any third-party API keys currently used by the app
• A short list of protected flows: signup၊ login၊ billing၊ AI generation၊ admin actions

If you bring me that access package plus the current failure symptoms,I can usually map the risk quickly and turn it into a safe release plan inside the same two-day window instead of dragging this into a multi-week rebuild.

Delivery Map

References

• https://roadmap.sh/api-security-best-practices
• https://roadmap.sh/cyber-security
• https://roadmap.sh/code-review-best-practices
• https://supabase.com/docs/guides/database/postgres/row-level-security
• https://supabase.com/docs/guides/functions/secrets-and-env-vars

---

Take the next step

If this is a problem in your product right now, here is what to do next:

• [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.

• [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*