checklists / launch-ready

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

For this kind of product, 'ready' does not mean 'it works on my phone.' It means a reviewer can open the app on mobile, sign in, use the core flow, and...

What "ready" means for an AI-built SaaS app in a mobile-first security review

For this kind of product, "ready" does not mean "it works on my phone." It means a reviewer can open the app on mobile, sign in, use the core flow, and not find obvious security gaps that expose users, data, or infrastructure.

I would call an AI-built SaaS app ready when all of these are true:

  • No exposed secrets in the repo, frontend bundle, logs, or deployment settings.
  • Authentication and authorization are enforced on every sensitive route and API.
  • DNS, SSL, redirects, and subdomains are configured correctly.
  • Email authentication passes SPF, DKIM, and DMARC checks.
  • Cloudflare or equivalent protection is active for basic DDoS and abuse filtering.
  • Production deployment uses locked-down environment variables and least privilege access.
  • Uptime monitoring is live so failures are detected before customers do.
  • Mobile flows do not break security controls like session handling, CSRF protection, or file upload validation.

If one of those is missing, you are not "almost ready." You are one bug bounty report away from support load, launch delay, or a failed security review.

This checklist is built for founders with AI-built SaaS apps who need a fast security pass before launch.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Secrets | Zero exposed API keys, tokens, or private URLs in code or client bundle | Prevents account takeover and data theft | Attacker drains API credits or reads customer data | | Auth | Protected routes reject unauthenticated users | Stops public access to private app areas | Anyone can view dashboards or records | | Authorization | Users only access their own data | Prevents cross-account data leaks | One customer sees another customer's data | | HTTPS | All traffic redirects to SSL with no mixed content | Protects sessions and login credentials | Login hijack risk and browser warnings | | DNS | Domain points to the correct production target with clean redirects | Avoids spoofing and launch confusion | Broken onboarding and phishing risk | | Email auth | SPF, DKIM, DMARC all pass | Improves deliverability and stops spoofing | Password resets land in spam or get forged | | Cloudflare/WAF | Basic bot filtering and DDoS protection enabled | Reduces abuse and downtime risk | App gets hammered by bots or traffic spikes | | Logging | No secrets in logs; errors are structured and minimal | Limits leak surface during incidents | Support tickets become a data breach | | Monitoring | Uptime alerts fire within 5 minutes of outage | Detects failures before customers complain | Revenue loss during silent downtime | | Mobile UX security flow | Login, reset password, MFA if used, and file upload work on mobile without bypasses | Mobile is where real users fail first | Broken conversion and insecure workarounds |

The Checks I Would Run First

1. Secrets exposure check

Signal: I look for API keys, webhook secrets, service account JSON files, private endpoints, and test credentials in the repo history, frontend code, build output, and browser network calls.

Tool or method: I use Git history scans plus secret scanners like Gitleaks or TruffleHog. I also inspect the deployed frontend bundle because AI-built apps often accidentally ship `.env` values into client code.

Fix path: Move every secret to server-side environment variables immediately. Rotate anything already exposed. If a key has been committed once, I treat it as compromised even if it was deleted later.

2. Authentication boundary check

Signal: I test whether protected pages can be opened directly by URL without a valid session. I also check whether APIs trust the client too much.

Tool or method: Manual browser testing plus simple API requests with no token or an expired token. I verify server-side enforcement instead of relying on hidden UI buttons.

Fix path: Add middleware or route guards on the server. Every sensitive endpoint must verify identity before returning data. Do not rely on frontend-only checks.

3. Authorization and tenant isolation check

Signal: I try changing user IDs in request bodies or URLs to see if one account can read another account's records.

Tool or method: Proxy tools like Burp Suite or Postman with replayed requests. This is one of the highest-risk issues in AI-built SaaS because generated code often forgets ownership checks.

Fix path: Enforce row-level ownership checks at the database query layer or service layer. If you have multi-tenant data, make tenant ID mandatory in every query path.

4. Domain and SSL chain check

Signal: I verify that `www`, root domain, subdomains, login callbacks, and API hosts resolve correctly over HTTPS with one canonical redirect path.

Tool or method: DNS lookup tools plus browser inspection for certificate validity and mixed content warnings.

Fix path: Set canonical redirects once. Lock all production traffic to HTTPS. Fix broken callback URLs before launch because they cause login failures that look like "the app is down."

5. Email authentication check

Signal: I send test mail from your domain and confirm SPF passes, DKIM signs correctly, and DMARC policy is aligned.

Tool or method: Mail-tester style validation plus provider dashboards from Google Workspace, Microsoft 365, SendGrid, Postmark, or Resend.

Fix path: Publish correct DNS records for SPF/DKIM/DMARC. Start DMARC at `p=none`, validate delivery for 24 to 48 hours, then move toward quarantine or reject once alignment is stable.

v=DMARC1; p=none; rua=mailto:dmarc@yourdomain.com; adkim=s; aspf=s

6. Monitoring and incident visibility check

Signal: I confirm uptime alerts exist for homepage availability, login success path, API health endpoint response time under 500 ms p95 if possible at your current load baseline (or at least under 1 second during review), certificate expiry alerts, and error spikes.

Tool or method: UptimeRobot, Better Stack Monitor,, Pingdom,, Datadog Synthetic Monitoring,, or similar tools plus log review in your hosting platform.

Fix path: Add one public health endpoint plus alerting on HTTP failure rate. Make sure alert emails go to more than one person so outages do not sit unread overnight.

Red Flags That Need a Senior Engineer

1. You cannot tell where auth happens

If you cannot point to the exact file or middleware that blocks unauthorized access,, you are guessing about security. That usually means there are gaps hidden behind AI-generated abstractions.

2. Secrets are scattered across frontend code,, CI settings,, and hosting dashboards

This is not a cleanup task anymore,, it is an incident response task. You need rotation,, scoping,, removal,, and verification across every environment before launch.

3. The app uses third-party APIs for core actions without rate limits

AI-built apps often wire up OpenAI,, Stripe,, email providers,, storage,,and analytics quickly but forget abuse controls. Without limits,, one bad actor can run up bills,, trigger bans,,or create support chaos.

4. Multi-tenant data logic was generated fast

If your app has teams,,, workspaces,,, orgs,,,or shared projects,,, I assume there may be broken ownership checks until proven otherwise. A single bad query can leak customer records across accounts.

5. Mobile login feels fragile

If password reset,,, magic links,,, MFA,,,or file upload flows fail on iPhone Safari or Android Chrome,,, your security review will not feel theoretical.. Real users will hit these paths first,,and they will either churn or bypass controls.

DIY Fixes You Can Do Today

1. Rotate anything suspicious now

If a key was pasted into chat,,, committed to GitHub,,,or used in a public preview,,, rotate it today.. Do not wait until after launch.. The cost of rotation is small compared with unauthorized usage..

2.. Turn on HTTPS only mode

Force all traffic through SSL.. Set one canonical domain,,, redirect HTTP to HTTPS,,,and make sure subdomains follow the same rule.. Mixed content warnings destroy trust fast on mobile browsers..

3.. Add basic rate limits

Even simple throttles help.. Put limits on login,,, password reset,,, signup,,,,and any expensive AI endpoint.. This reduces brute force attempts,,,, credential stuffing,,,,and surprise billing..

4.. Review environment variables line by line

Check production,,,, staging,,,,and preview environments separately.. Remove anything that should never reach the browser,,,, especially service keys,,,, admin tokens,,,,and internal webhook secrets..

5.. Test your email deliverability manually

Send password reset,,,, welcome,,,,and verification emails to Gmail,,,, Outlook,,,,and Apple Mail accounts.. If messages land in spam,,,, fix SPF/DKIM/DMARC before asking users to trust the product..

Where Cyprian Takes Over

When founders come to me for Launch Ready,,,,I map the failures directly into a fixed-scope sprint so they do not waste time guessing what matters first..

| Failure found | What I do in Launch Ready | Timeline | |---|---|---| | Exposed secrets || Rotate keys,,,, remove leaks from code/bundles,,,, lock env vars|||| within first 6 hours | | Broken DNS / redirects || Configure domain,,,, subdomains,,,, canonical redirects|||| same day | | Missing SSL / mixed content || Install certs,,,, force HTTPS,,,, fix asset loading|||| same day | | Weak Cloudflare setup || Enable caching rules,,,, DDoS protection,,,, basic WAF tuning|||| same day | | Email auth failing || Publish SPF/DKIM/DMARC records|||| within 12 hours | | Unsafe deployment || Push production build safely with rollback plan|||| within 24 hours | | No monitoring || Set uptime alerts,,,, error tracking,,,, certificate expiry checks|||| within 24 hours | | No handover docs || Deliver checklist with access map,,,, DNS notes,,,, recovery steps|||| by hour 48 |

My recommendation is simple: if you need this done fast before a review,,, buy the sprint instead of trying to stitch together five tutorials at midnight..

Reference flow for what gets checked first

References

  • roadmap.sh cyber security best practices: https://roadmap.sh/cyber-security
  • roadmap.sh API security best practices: https://roadmap.sh/api-security-best-practices
  • roadmap.sh QA roadmap: https://roadmap.sh/qa
  • OWASP ASVS: https://owasp.org/www-project-application-security-verification-standard/
  • Cloudflare learning center on SSL/TLS basics: https://www.cloudflare.com/learning/ssl/what-is-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.