checklists / launch-ready

Launch Ready API security Checklist for AI-built SaaS app: Ready for customer onboarding in creator platforms?.

For this product, 'ready' does not mean 'the demo works on my laptop.' It means a creator can sign up, verify email, connect their account, complete...

What "ready" means for an AI-built SaaS app onboarding creator-platform customers

For this product, "ready" does not mean "the demo works on my laptop." It means a creator can sign up, verify email, connect their account, complete onboarding, and reach first value without security gaps, broken redirects, or flaky API behavior.

If I were auditing this for launch, I would call it ready only when these are true:

  • No exposed secrets in the repo, logs, or frontend bundle.
  • Authentication and authorization are enforced on every sensitive API route.
  • Email deliverability is working with SPF, DKIM, and DMARC passing.
  • Domain, SSL, redirects, and subdomains are correct across production.
  • Uptime monitoring is active before real users arrive.
  • p95 API response time is under 500ms for onboarding-critical endpoints.
  • No critical auth bypasses, no public admin routes, and no insecure webhooks.
  • Customer onboarding flows work end to end on mobile and desktop.

For creator platforms specifically, the business risk is simple: one broken signup flow means lost creators, support tickets, refund requests, and ad spend wasted on traffic that cannot convert. One leaked secret or weak API check can turn into account takeover or data exposure fast.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Auth on all protected APIs | Every user-specific route returns 401 or 403 when unauthenticated or unauthorized | Prevents account takeover and data leaks | Users see other users' data or can change billing/profile settings | | Secrets handling | Zero secrets in repo, client bundle, logs, or CI output | Stops token theft and production compromise | Attackers can access databases, email providers, or third-party APIs | | Webhook verification | All inbound webhooks verify signature and timestamp | Blocks spoofed events and fake payments/onboarding events | False upgrades, fake account creation, broken state | | Input validation | Server validates all IDs, emails, URLs, files, and JSON payloads | Reduces injection and malformed request failures | Crashes, abuse of edge cases, possible data corruption | | Rate limiting | Sensitive endpoints have limits per IP/user/token | Protects against brute force and abuse spikes | Login abuse, OTP flooding, API cost blowups | | CORS policy | Only trusted origins are allowed in production | Prevents cross-site data exposure | Browser-based data theft from malicious sites | | Email deliverability | SPF/DKIM/DMARC pass for domain mail flow | Ensures onboarding emails reach inboxes | Verification emails land in spam or fail completely | | TLS and redirects | SSL active everywhere; HTTP redirects to HTTPS; canonical domain enforced | Protects credentials and session traffic | Mixed content warnings and login failures | | Monitoring coverage | Uptime checks plus error alerts on auth/onboarding APIs | Detects outages before users do | Silent downtime becomes support chaos | | Performance threshold | Onboarding APIs p95 under 500ms; landing page LCP under 2.5s | Keeps conversion high during launch traffic spikes | Drop-offs increase and paid traffic underperforms |

The Checks I Would Run First

1) I would test auth boundaries on every onboarding endpoint

Signal: A logged-out user can hit protected endpoints without a hard 401 or 403. Another red flag is any user being able to read or update another user's record by changing an ID.

Tool or method: I use Postman or curl plus a test account pair. I try direct requests against signup completion, profile update, invite acceptance, billing setup, team member access, and webhook admin routes.

Fix path: Add server-side authorization checks at the route level and object level. Do not trust client-side guards. For creator platforms this usually means ownership checks on every resource.

2) I would inspect secret handling across app code and deployment

Signal: Keys appear in `.env` files committed to git history, frontend variables expose private values with `NEXT_PUBLIC_` style prefixes where they should not be public, or logs print tokens during errors.

Tool or method: I run secret scanning with GitHub secret scanning if available plus `gitleaks`, then inspect build artifacts and browser network traces. I also check Cloudflare logs and app logs for accidental token output.

Fix path: Rotate anything exposed immediately. Move secrets into deployment environment variables only. Separate public config from private config. If a token was ever shipped to the browser bundle once, treat it as compromised.

3) I would verify webhook authenticity before any state change

Signal: Webhooks are accepted without signature verification or timestamp checks. Another clue is that payment events or creator connection events can be replayed multiple times.

Tool or method: I replay sample webhook requests with modified payloads using curl or a proxy like Burp Suite. Then I check whether the server rejects invalid signatures and duplicate event IDs.

Fix path: Verify signatures using the provider's signing secret. Reject stale timestamps. Make handlers idempotent so the same event cannot create duplicate records.

4) I would test CORS and cookie behavior in a real browser

Signal: The API allows `*` origin with credentials enabled, cookies are missing secure flags in production, or sessions survive across untrusted origins.

Tool or method: I inspect response headers in Chrome DevTools and run cross-origin fetch tests from a throwaway domain. I also confirm `Secure`, `HttpOnly`, and `SameSite` cookie settings.

Fix path: Lock CORS to known production domains only. Use secure cookies over HTTPS only. If you rely on bearer tokens instead of cookies for some flows, make that choice intentionally and document it.

5) I would measure onboarding endpoint latency under realistic load

Signal: Signup steps feel slow after the first request round trip. p95 exceeds 500ms on core endpoints like auth callback completion or profile creation.

Tool or method: I use k6 or Artillery against staging with realistic payloads. Then I inspect logs plus database query plans for slow inserts, missing indexes, N+1 queries, or external API calls inside request paths.

Fix path: Cache what can be cached. Move non-critical work to background jobs. Add indexes for lookup fields like email, workspace_id, creator_id. Keep external calls out of the critical path where possible.

6) I would review DNS + email + TLS together instead of separately

Signal: SSL works on one hostname but not subdomains; redirects loop; verification emails fail SPF/DKIM/DMARC; old records conflict with new deployment targets.

Tool or method: I check DNS records in Cloudflare plus MXToolbox-style validation for email auth records. Then I test production URLs from incognito mode across root domain and subdomains.

Fix path: Clean up A/AAAA/CNAME records first. Enforce one canonical domain. Publish SPF/DKIM/DMARC correctly before launch traffic starts arriving.

Red Flags That Need a Senior Engineer

1. You have customer-facing APIs but no clear authorization model.

  • This usually means hidden data exposure risk that a quick fix will miss.

2. Secrets have already been shared across local files, CI logs, screenshots, or frontend env vars.

  • At that point you need rotation planning plus audit cleanup fast.

3. Webhooks drive billing or onboarding state but are not verified.

  • A bad actor can fake events and corrupt your product state.

4. Your creator onboarding depends on several third-party services firing in sequence.

  • More moving parts means more failure points during launch week.

5. The app works in dev but breaks after deployment because of domain routing, cookies, CORS, SSL, or environment differences.

  • This is exactly how founders lose two weeks chasing invisible config bugs.

If any two of those are true at once, I would stop DIYing it and get senior help before you send traffic live.

DIY Fixes You Can Do Today

1) Rotate obvious secrets now If you pasted keys into chat tools, Git history, or shared screenshots, rotate them today. Do not wait until after launch.

2) Check your public bundle Open DevTools, search the JS bundle, and confirm no private keys, internal API URLs, or admin flags are exposed to browsers.

3) Lock down your admin routes Make sure `/admin`, `/internal`, and any management endpoints are blocked unless explicitly authenticated with role checks.

4) Turn on basic uptime monitoring Set alerts for homepage, signup, login, and core API health checks. Even a simple monitor is better than discovering downtime from users first.

5) Validate email authentication records Use your DNS provider dashboard plus an email checker to confirm SPF, DKIM, and DMARC are present before sending verification emails at scale.

A minimal example of a safe environment variable setup looks like this:

DATABASE_URL=postgresql://...
STRIPE_SECRET_KEY=sk_live_...
NEXT_PUBLIC_APP_URL=https://app.example.com

The rule is simple: only values meant for browsers should start with `NEXT_PUBLIC_`. Everything else stays server-side only.

Where Cyprian Takes Over

When these checks fail together, I do not patch them one by one in isolation. I package them into Launch Ready so the product ships cleanly instead of limping into production.

Here is how the failures map to the service:

| Failure area | Launch Ready deliverable | |---|---| | Bad DNS routing or broken subdomains | DNS setup for root domain plus subdomains | | Mixed content or insecure traffic paths | SSL setup plus HTTPS redirect enforcement | | Spammy onboarding emails / failed verification mailouts | SPF / DKIM / DMARC configuration | | Exposed secrets / unsafe env handling | Production environment variables plus secrets cleanup guidance | | Weak edge protection / bot pressure / noisy traffic spikes | Cloudflare setup with caching and DDoS protection | | Unclear deployment state / staging-to-prod confusion | Production deployment verification | | No visibility after launch | Uptime monitoring setup | | Handoff gaps after fixes ship live | Handover checklist with what changed and what to watch |

Delivery window: 48 hours. Price:

For a creator-platform SaaS app, that price makes sense when the alternative is losing paid signups because onboarding fails at the first trust checkpoint. I would rather fix the launch surface properly than burn weeks debugging avoidable DNS, email, and auth issues later.

What you get in practice:

  • Domain connected correctly
  • Email sending configured for inbox delivery
  • Cloudflare active
  • SSL working everywhere
  • Redirects cleaned up
  • Subdomains mapped
  • Caching enabled where safe
  • DDoS protection turned on
  • Production deploy verified
  • Environment variables separated from secrets
  • Monitoring live
  • Handover checklist completed

My recommendation: if your app already has traffic potential but your security posture around onboarding is uncertain, buy the sprint instead of shipping blind. That keeps support load down, protects customer data, and gives you a clean base before you spend more on acquisition.

References

  • roadmap.sh - API Security Best Practices: https://roadmap.sh/api-security-best-practices
  • roadmap.sh - Cyber Security Roadmap: https://roadmap.sh/cyber-security
  • OWASP API Security Top 10: https://owasp.org/www-project-api-security/
  • Cloudflare Docs - SSL/TLS overview: https://developers.cloudflare.com/ssl/
  • Google Search Central - HTTPS as a ranking signal basics: https://developers.google.com/search/docs/crawling-indexing/https-indexing

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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.*

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About the author

Cyprian Tinashe AaronsSenior Full Stack & AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.