checklists / launch-ready

Launch Ready cyber security Checklist for AI-built SaaS app: Ready for app review in mobile-first apps?.

For a mobile-first AI-built SaaS app, 'launch ready' does not mean 'the UI looks finished.' It means the app can survive app review, handle real users,...

What "ready" means for an AI-built SaaS app aiming for app review

For a mobile-first AI-built SaaS app, "launch ready" does not mean "the UI looks finished." It means the app can survive app review, handle real users, and not expose customer data the first time traffic arrives.

I would call it ready only if these are true: no exposed secrets, authentication is enforced on every sensitive route, email sending is verified with SPF/DKIM/DMARC passing, deployment is repeatable, Cloudflare and SSL are active, redirects and subdomains are correct, uptime is monitored, and the app can pass a basic security review without obvious gaps. If any one of those fails, you do not have a launch problem. You have a trust problem.

For mobile-first apps, app review usually fails for boring reasons that become expensive fast: broken login flows, weak privacy handling, unstable environments, missing contact or support paths, or security settings that make the reviewer think the product is unsafe. The goal here is simple: reduce rejection risk, reduce support load, and stop a public launch from turning into a cleanup sprint.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Secrets | Zero exposed API keys in repo, build logs, or client bundle | Prevents account takeover and billing abuse | Data leaks, unauthorized API use | | Auth | Protected routes require valid session or token | Stops anonymous access to user data | Privacy breach, app review rejection | | Authorization | Users only see their own records | Prevents cross-account data exposure | Customer trust loss, legal risk | | SSL | HTTPS enforced on all domains and subdomains | Protects logins and tokens in transit | Browser warnings, failed sign-in | | DNS | Root domain, www, API, and mail records resolve correctly | Keeps app reachable and email deliverable | Broken onboarding and support emails | | Email auth | SPF, DKIM, DMARC all pass | Improves inbox placement and trust | Emails land in spam or fail outright | | CORS | Only approved origins can call APIs from browser apps | Blocks unwanted cross-site access | Data exposure or broken frontend calls | | Rate limits | Login and API endpoints are throttled | Reduces brute force and abuse risk | Account attacks, service instability | | Monitoring | Uptime alerts fire within 5 minutes of downtime | Shortens outage detection time | Long outages before anyone notices | | Deployment rollback | Previous known-good release can be restored fast | Limits blast radius of bad deploys | Extended downtime after release |

The Checks I Would Run First

1. Secret exposure scan

Signal: I look for any API key, private token, webhook secret, or service credential in Git history, environment files committed by accident, frontend code, build artifacts, or logs. One exposed secret is enough to treat the app as unsafe.

Tool or method: I would run a repo-wide secret scan plus a manual review of `.env`, deployment settings, CI logs, and client-side bundles. I also check whether any "temporary" test keys are still live in production.

Fix path: Move all secrets to server-side environment variables immediately. Rotate anything already exposed. If the key cannot be rotated quickly because multiple systems depend on it, I treat that as a release blocker.

2. Authentication boundary check

Signal: I test whether unauthenticated requests can reach user dashboards, billing pages, profile data, file downloads, admin actions, or API endpoints. In AI-built apps this often breaks because the UI hides buttons but the backend never enforces access control.

Tool or method: I use browser dev tools plus direct API calls with no session cookie or invalid tokens. I also replay requests from one user account against another user's IDs.

Fix path: Enforce auth at the server layer on every sensitive route. Never rely on frontend hiding alone. If there is role-based access control, verify default-deny behavior first.

3. Domain and SSL verification

Signal: The root domain loads over HTTPS without mixed content warnings. Subdomains like `app`, `api`, `www`, and mail-related DNS records resolve correctly. Any redirect chain should be short and predictable.

Tool or method: I inspect DNS records at the registrar and Cloudflare dashboard. Then I test certificate coverage across all live hostnames and confirm that HTTP always redirects to HTTPS with one clean hop where possible.

Fix path: Set canonical domains early. Add proper redirects for `www` to root or vice versa. Turn on Cloudflare proxying where appropriate and confirm SSL mode is not set in a way that causes loops or insecure origin traffic.

4. Email deliverability check

Signal: Transactional email sends successfully from your domain and passes SPF/DKIM/DMARC alignment checks. If onboarding emails go to spam during launch week you will lose users before they ever see value.

Tool or method: I send test messages to Gmail and Outlook accounts and inspect authentication headers. I also verify that password reset emails are not being blocked by aggressive provider rules.

Fix path: Publish correct SPF records for each sender only once. Enable DKIM signing at the provider level. Set DMARC to at least `p=none` during initial validation so you can observe failures before tightening policy.

v=spf1 include:_spf.google.com include:sendgrid.net ~all

This is only an example pattern; your actual record must match your mail provider stack exactly.

5. CORS and browser security check

Signal: Browser-based clients can only call approved origins. Wildcard CORS combined with authenticated APIs is a common mistake in AI-generated codebases because it makes local testing easier but opens production risk.

Tool or method: I inspect response headers from production endpoints using browser dev tools or `curl`. Then I try requests from an unapproved origin to see whether the server rejects them properly.

Fix path: Replace wildcard origin rules with explicit allowlists. Do not allow credentials unless required. Keep admin APIs separate from public APIs when possible.

6. Monitoring and rollback readiness check

Signal: You know when production breaks within minutes instead of hours. There is also a clear rollback path if deployment increases error rates or breaks login flows.

Tool or method: I verify uptime monitoring alerts by simulating an endpoint failure. Then I confirm who receives alerts and how quickly they respond. Finally I test whether previous deployments can be restored without guesswork.

Fix path: Add uptime monitoring for homepage, auth endpoint, API health endpoint, email flow confirmation page if relevant, and critical webhook receivers. Keep one-click rollback available through your host or CI system.

Red Flags That Need a Senior Engineer

  • You have no idea where secrets live anymore because Lovable,Bolt,Cursor,v0 edits spread them across multiple environments.
  • The app works in preview but fails after deployment because environment variables differ between staging and production.
  • Login succeeds in the UI but sensitive API routes are still callable without a valid session.
  • You are using one shared database user with broad permissions across dev,test,and prod.
  • App review already failed once due to privacy,email,domain setup,and nobody can explain why with evidence.

If two or more of those are true,I would stop DIY fixes and bring in senior help immediately.The cost of guessing here is usually higher than the cost of fixing it properly once.

DIY Fixes You Can Do Today

1. Audit your `.env` files now. Remove anything that should never ship to the client such as private keys,stripe secrets,and admin tokens. If you find old values committed to Git history,treat them as compromised until rotated.

2. Force HTTPS everywhere. Make sure both `http://` versions redirect to `https://`. Test every subdomain you actually use,and remove dead ones from DNS so reviewers do not find broken paths.

3. Verify your mail domain. Check SPF,DKIM,and DMARC before sending any onboarding email. Use a real inbox test with Gmail,and fix spam placement before launch day.

4. Review your auth rules manually. Try opening protected pages while logged out. Try changing user IDs in URLs or API requests,and confirm you cannot access another user's data.

5. Turn on basic monitoring now. Even simple uptime alerts are better than nothing. If your app goes down at night,you want an alert in under 5 minutes instead of discovering it through angry users later.

Where Cyprian Takes Over

Here is how checklist failures map to the service deliverables:

| Checklist failure | Launch Ready deliverable | |---|---| | Exposed secrets or weak env handling | Environment variables,secrets cleanup,and handover checklist | | Broken DNS or wrong redirects | DNS setup ,redirects ,subdomains | | Missing HTTPS or mixed content issues | Cloudflare + SSL configuration | | Slow,brittle public delivery path | Caching + production deployment hardening | | Spammy transactional email setup | SPF/DKIM/DMARC verification | | No visibility into outages | Uptime monitoring setup | | Unclear launch ownership after handoff | Production handover checklist |

My approach is simple:I fix what blocks app review first,and then I harden what will break under real usage.I do not waste time polishing low-risk details while auth,email,and deployment are still unstable.

Delivery window is 48 hours because this work should be handled as a focused sprint,no long discovery cycle,no endless back-and-forth.If you already have a working prototype,the fastest path is usually one tight rescue sprint followed by launch verification rather than weeks of piecemeal edits.

If the scan finds no critical issues,you move straight into deployment verification.If it finds auth,secrets,or email problems,you fix those before any public launch attempt.App review does not care how fast you built it,it cares whether users can trust it on first contact.

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 - https://roadmap.sh/cyber-security
  • OWASP Top 10 - https://owasp.org/www-project-top-ten/
  • Cloudflare SSL/TLS documentation - https://developers.cloudflare.com/ssl/

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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.