Launch Ready cyber security Checklist for AI-built SaaS app: Ready for production traffic in bootstrapped SaaS?.

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

For a bootstrapped SaaS, "ready for production traffic" does not mean the app looks finished. It means a stranger can land on your domain, sign up, verify email, pay, log in, and use the core flow without exposing secrets, breaking auth, or creating a support fire.

I would call it ready only if these are true:

• The app is on the real domain with SSL forced on every route.
• Email deliverability works, with SPF, DKIM, and DMARC passing.
• No secrets are exposed in the repo, frontend bundle, logs, or browser storage.
• Auth is protected against obvious bypasses, broken redirects, and weak session handling.
• Cloudflare or equivalent edge protection is active.
• Monitoring is live so you know when signup, checkout, or API latency breaks.
• The main user journey works under real traffic, not just local dev.

If any of those fail, you do not have a launch-ready SaaS. You have a prototype that can collect bugs faster than customers.

For AI-built apps in particular, I look harder at hidden risk: insecure environment variable handling, over-permissive APIs, broken role checks, accidental data exposure in prompts or logs, and third-party scripts that slow down or compromise the app. In bootstrapped SaaS, one bad launch can waste ad spend, trigger refund requests, and create support load you cannot absorb.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | | --- | --- | --- | --- | | Domain points to prod | Root and www resolve correctly | Users must reach the real app | Wrong site loads or signups disappear | | SSL forced everywhere | HTTP redirects to HTTPS on all routes | Protects login and payment traffic | Browser warnings and session risk | | Cloudflare enabled | DNS proxied where needed with WAF/rate limits | Reduces attack surface and abuse | DDoS spikes and bot traffic hit origin | | Secrets are hidden | Zero exposed API keys in repo/client/logs | Prevents account takeover and billing abuse | Attacker drains services or data | | SPF/DKIM/DMARC pass | All three pass for sending domain | Makes onboarding email land in inboxes | Verification emails go to spam | | Auth has no bypasses | Roles enforced server-side only | Stops unauthorized access to data | Cross-account data leaks | | Redirects are clean | Canonical URLs and subdomains work once each | Avoids duplicate content and broken flows | SEO split and user confusion | | Production deployment verified | Build passes and env vars set correctly | Ensures prod matches expected config | Blank pages or runtime crashes | | Monitoring is live | Uptime alerts + error alerts active | You need fast failure detection | Downtime goes unnoticed for hours | | Backups/recovery exist | Restore path tested at least once | Protects customer data and trust | One bad deploy becomes a full outage |

The Checks I Would Run First

1. Domain and SSL behavior

Signal: I want every public route to resolve on the intended domain with one canonical URL. HTTP should redirect to HTTPS with no mixed content warnings.

Tool or method: I check DNS records in Cloudflare or your registrar, then run browser tests plus `curl -I` against root pages, login pages, checkout pages, and subdomains.

Fix path: Point A records or CNAMEs to the correct host, force HTTPS at the edge, set canonical redirects once only, and make sure `www` and non-`www` do not both serve independently unless that is intentional.

2. Secrets exposure audit

Signal: No API keys in frontend code, no `.env` values committed to git history without rotation risk assessed, no tokens printed in logs.

Tool or method: I scan the repo for secret patterns, inspect build artifacts in the deployed site bundle, review environment variable usage in the hosting provider, and check log output from recent runs.

Fix path: Move all secrets server-side only where possible. Rotate any exposed key immediately. For AI-built apps this is often where founders get burned because a key was added during prototyping and never removed.

3. Authentication and authorization checks

Signal: A user cannot access another user's records by changing IDs in URLs or API calls. Admin actions must be enforced on the server.

Tool or method: I test common broken access control cases manually using Postman or browser devtools. I also inspect middleware and backend guards for role checks.

Fix path: Enforce authorization on every protected route and mutation. Do not trust frontend hiding of buttons. If an endpoint returns customer data based only on a guessed ID, that is a production blocker.

4. Email deliverability setup

Signal: SPF, DKIM, and DMARC all pass for your sending domain. Signup confirmations and password resets land reliably in inboxes.

Tool or method: I send test messages to Gmail and Outlook accounts plus use an email testing service to verify headers.

Fix path: Configure DNS records correctly at the domain level. Align the "from" address with your authenticated sending service. If onboarding depends on email verification but email lands in spam half the time, your conversion rate will collapse before users ever see value.

5. Edge protection and rate limiting

Signal: Bot spikes do not overwhelm signup forms or auth endpoints. Basic abuse gets blocked before it reaches origin.

Tool or method: I review Cloudflare settings for WAF rules, bot protection where appropriate, rate limits on sensitive endpoints like login/reset-password/signup/API keys.

Fix path: Turn on proxying for public app traffic where safe. Add rate limits to auth endpoints. Put stricter controls around password reset and invite flows because those are easy targets for abuse.

6. Production observability

Signal: You know when signup fails, checkout errors rise, API latency spikes above 500 ms p95 on critical endpoints, or uptime drops below target.

Tool or method: I verify uptime monitoring from outside your infrastructure plus error tracking inside the app. I also confirm alert routing goes to email/Slack/SMS that someone actually watches.

Fix path: Add health checks for core services only if they reflect real user impact. Create alerts for 5xx rates, failed jobs, payment webhook errors, email send failures, and auth exceptions.

Red Flags That Need a Senior Engineer

1. You have customer-facing auth but no server-side authorization review. This is how cross-account data leaks happen.

2. Your app sends emails but SPF/DKIM/DMARC are untested. That usually means onboarding will fail quietly after launch.

3. Secrets were copied into frontend code "just for now." That "temporary" choice often becomes a breach later.

4. You rely on one deploy environment with no rollback plan. One bad release can take down sales for hours.

5. You cannot explain where logs go or who gets alerted. That means outages will be discovered by customers first.

If any two of those are true at once, I would stop DIY work and buy Launch Ready instead of gambling with launch day.

DIY Fixes You Can Do Today

1. Force HTTPS everywhere. Make sure every route redirects from `http://` to `https://`. Test root domain plus login plus checkout plus API docs if you have them.

2. Rotate anything that looks exposed. If a secret ever touched GitHub issues, chat screenshots from AI tools such as Lovable/Bolt/Cursor workflows should be treated as suspect until rotated.

3. Check your email DNS records now. Use MXToolbox or your provider's validator to confirm SPF/DKIM/DMARC pass before you send another onboarding email campaign.

4. Remove public keys from client code. Anything used by the browser should be scoped as public by design. Anything private belongs behind an API you control.

5. Add one uptime monitor today. Even a basic external ping monitor is better than nothing if you are about to send paid traffic to the app.

A minimal DMARC record looks like this:

_dmarc.yourdomain.com TXT "v=DMARC1; p=quarantine; rua=mailto:dmarc@yourdomain.com"

That alone does not finish deliverability work, but it is better than shipping with no policy at all.

Where Cyprian Takes Over

Launch Ready is built for exactly this gap: you have an AI-built SaaS that works in staging or local dev mode but has not been hardened for real users yet.

Here is how failures map to the service:

| Failure found | Deliverable covered by Launch Ready | | --- | --- | | Wrong domain routing / broken subdomains | DNS setup and subdomain mapping | | Mixed content / insecure traffic paths | SSL install plus HTTPS enforcement | | Slow first load / origin overload from bots | Cloudflare caching and DDoS protection | | Inbox delivery problems | SPF/DKIM/DMARC configuration | | App crashes after deploy due to env mismatch | Production deployment plus environment variables | | Hidden secrets / unsafe config handling | Secrets review and cleanup guidance | | No visibility into failures after launch | Uptime monitoring setup | | Confusing handoff after sprint ends | Handover checklist |

My recommendation is simple: if your launch depends on paid acquisition within the next 7 days and you cannot afford downtime or broken onboarding loops over a weekend window, buy Launch Ready rather than patching this yourself piecemeal.

• Day 1: audit domain/DNS/email/security gaps
• Day 1 to Day 2: implement fixes across Cloudflare/SSL/deployment/secrets/monitoring
• End of Day 2: handover checklist so you know what was changed

That timeline matters because cyber security work gets expensive when it drifts into open-ended debugging across hosting providers, email vendors, and CI/CD settings that were never documented properly in the first place.

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 code review best practices: https://roadmap.sh/code-review-best-practices
• OWASP Top 10: https://owasp.org/www-project-top-ten/
• Cloudflare Security Docs: https://developers.cloudflare.com/waf/

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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.*