checklists / launch-ready

Launch Ready API security Checklist for AI-built SaaS app: Ready for first 100 users in B2B service businesses?.

'Ready' does not mean the app works on your laptop or that a few friendly users can log in without crashing it.

Launch Ready API security Checklist for AI-built SaaS app: Ready for first 100 users in B2B service businesses?

"Ready" does not mean the app works on your laptop or that a few friendly users can log in without crashing it.

For an AI-built SaaS app targeting the first 100 B2B service users, ready means this: customers can sign up, verify email, access the right data only, and complete the core workflow without exposing secrets, breaking auth, or creating support debt you cannot handle.

If I were auditing this for a founder, I would look for five business outcomes:

  • No exposed API keys, tokens, or admin credentials in code, logs, or client-side bundles.
  • Auth and authorization are enforced on every sensitive endpoint.
  • Production is deployed with domain, SSL, redirects, email authentication, and monitoring already working.
  • The app can survive real traffic spikes and basic abuse without downtime or data leakage.
  • The team has a clear handover checklist so the next bug does not become a launch blocker.

For the first 100 users, I would want:

  • p95 API latency under 500ms for core endpoints.
  • Zero critical auth bypasses.
  • Zero exposed secrets.
  • SPF, DKIM, and DMARC passing.
  • Monitoring alerts firing within 5 minutes of failure.

If you cannot say yes to those with evidence, you are not ready yet. You are still in build mode.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Auth enforced on all sensitive endpoints | Every read/write endpoint checks session or token server-side | Stops unauthorized access | Data leaks, account takeover | | Authorization scoped by tenant/user | Users only see their own org data | Critical for B2B multi-tenant SaaS | Cross-customer data exposure | | Secrets removed from client and repo | No keys in frontend code, commits, logs, or env leaks | Prevents immediate compromise | API abuse, billing loss | | Input validation on all API routes | Reject malformed payloads and unexpected fields | Reduces injection and logic bugs | Broken workflows, exploit paths | | Rate limiting enabled | Per IP and per account limits on login and sensitive APIs | Reduces brute force and abuse | Credential stuffing, cost spikes | | CORS locked down | Only approved origins allowed | Prevents cross-site misuse of APIs | Token theft risk, browser abuse | | Email auth configured | SPF, DKIM, DMARC all pass | Keeps onboarding and alerts deliverable | Emails land in spam or fail | | Production deploy verified | Domain points to prod with SSL and redirects working | Makes launch real and trustworthy | Broken onboarding and trust loss | | Monitoring active | Uptime checks plus error alerts configured | Detects failures before customers do | Silent downtime and support chaos | | Backup/rollback path exists | You can revert last deploy in minutes | Limits blast radius of bad releases | Long outages after one bad push |

The Checks I Would Run First

1. Verify authentication is enforced on every sensitive API route

Signal: I can hit no customer data endpoint without a valid session or token. Admin routes are separate from user routes.

Tool or method: I test with curl/Postman plus browser dev tools. I also inspect server middleware and route guards. If there is any "frontend-only" protection, I treat that as broken.

Fix path: Move auth checks to the server layer. Add middleware for session validation on every protected route. Then add tests that fail if a route returns customer data without auth.

2. Check tenant isolation so one client cannot see another client's records

Signal: A user from Org A cannot fetch Org B records by changing an ID in the URL or request body.

Tool or method: I try direct object reference attacks against IDs like `/api/projects/123` or `customer_id=456`. This is basic but still where many AI-built apps fail.

Fix path: Enforce tenant filters in every query. Do not trust client-supplied org IDs alone. Scope database queries by authenticated user context plus tenant membership.

3. Audit secrets handling end to end

Signal: No API keys in frontend bundles, Git history, CI logs, deployment output, Slack screenshots, or error traces.

Tool or method: I scan the repo with secret search tools and inspect built assets. I also check environment variables in hosting dashboards and CI providers.

Fix path: Move all third-party keys server-side only. Rotate anything exposed immediately. Separate public config from private secrets. If a secret was ever committed publicly, assume it is burned.

4. Validate rate limiting and abuse controls

Signal: Login attempts slow down after repeated failures. Sensitive endpoints do not allow unlimited retries or bulk scraping.

Tool or method: I simulate repeated requests from one IP and one account using simple scripts. I check whether rate limits exist at the app layer and edge layer.

Fix path: Add per-IP and per-user throttles on auth endpoints, password reset flows, contact forms, webhook handlers, and expensive search endpoints. Put Cloudflare in front of public traffic if possible.

5. Confirm CORS is strict and boring

Signal: Only your real production domains are allowed as origins. Wildcards are not used for authenticated APIs.

Tool or method: I inspect response headers and test requests from unauthorized origins. If credentials are accepted cross-origin without clear reason, that is a problem.

Fix path: Whitelist exact domains only. Avoid `*` when cookies or bearer tokens are involved. Keep dev/staging separate from production rules so you do not ship a temporary exception into launch week.

6. Test deployment safety plus observability before first traffic

Signal: The live domain resolves correctly over SSL. Redirects work once only. Errors are logged with enough detail to debug but without leaking secrets.

Tool or method: I verify DNS records, TLS status, uptime checks, application logs, alert routing, and rollback procedure. I also confirm p95 latency on core endpoints stays under 500ms under light load.

Fix path: Fix DNS at the registrar level first. Then verify Cloudflare proxying if used. Add uptime monitoring for homepage plus login plus one core API route. Make sure alerts go to email or Slack where someone actually sees them within 5 minutes.

## Example: quick header check for CORS + security basics
curl -I https://api.yourdomain.com/v1/me

If that response does not show sane security headers plus correct origin behavior under real auth conditions, keep digging before launch.

Red Flags That Need a Senior Engineer

1. You found even one exposed secret

  • This is not a cosmetic issue.
  • It means rotation work may be needed across cloud services, email providers, analytics tools, payment systems, and CI/CD.

2. Multi-tenant data lives behind only frontend checks

  • If the browser decides what a user can see, you have already lost control.
  • This creates direct customer data exposure risk.

3. The app has "temporary" auth exceptions in production

  • Temporary exceptions become permanent because launches get busy.
  • These usually cause broken onboarding or open access paths later.

4. You do not know where errors go

  • If there is no alerting owner and no visible log trail,

support load will spike the moment real users arrive.

  • That turns small bugs into lost deals.

5. The founder cannot explain rollback

  • If one bad deploy could take hours to unwind,

you are gambling with first impressions.

  • For B2B buyers especially,

one outage can kill trust before renewal even exists.

DIY Fixes You Can Do Today

1. Rotate any key you pasted into chat tools or shared docs

  • Treat screenshots like public disclosure if they were shared widely.
  • Rotate cloud keys first because they often have broad blast radius.

2. Turn on SPF/DKIM/DMARC now

  • This helps onboarding emails land properly.
  • It also reduces spoofing risk for your domain.
  • Aim for all three passing before launch emails go out.

3. Lock down your CORS list

  • Replace wildcards with exact domains.
  • Include production only unless staging truly needs access too.
  • Remove old preview URLs once they are no longer used.

4. Add basic rate limits to login and password reset

  • Even modest limits reduce brute force attempts fast.
  • Start with something practical like 5 failed logins per minute per IP plus stricter limits per account.

5. Set up two uptime checks today

  • One for the homepage or landing page.
  • One for a protected health endpoint or login page.
  • If either fails twice in a row,

you want an alert immediately instead of learning from customers later.

Where Cyprian Takes Over

If your checklist failures touch deployment safety, domain setup, email deliverability, secret handling, or monitoring, that is exactly where Launch Ready fits.

Here is how I map common failures to the service deliverables:

| Failure found | What Launch Ready fixes | |---|---| | Broken domain routing or SSL errors | DNS setup, redirects, subdomains setup, SSL configuration | | Slow page loads behind proxies/CDN gaps | Cloudflare setup and caching configuration | | Public exposure risk from direct origin traffic | DDoS protection through Cloudflare hardening | | Emails failing verification checks | SPF/DKIM/DMARC setup | | Secrets scattered across env files and hosts | Environment variable cleanup and secrets handling review | | No live visibility into outages | Uptime monitoring setup | | Unclear release state after deploys | Production deployment verification plus handover checklist |

I would keep scope tight:

  • Day 1: audit domain/DNS/email/deployment/secrets/monitoring.
  • Day 2: fix production blockers,

confirm delivery, and hand over a checklist your team can actually use.

My recommendation is simple: do not spend another week polishing features if your launch stack is unsafe underneath them. For first 100 users in B2B service businesses, a broken login, spam-filtered email, or exposed tenant record will hurt conversion faster than any missing feature list helps it.

References

  • roadmap.sh Code Review Best Practices: https://roadmap.sh/code-review-best-practices
  • 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 SSL/TLS documentation: https://developers.cloudflare.com/ssl/

---

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.*

Next steps
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.