checklists / launch-ready

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

For a bootstrapped SaaS, 'launch ready' is not 'the app works on my machine.' It means a stranger can land on the site, trust it, sign up, pay, and use...

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

For a bootstrapped SaaS, "launch ready" is not "the app works on my machine." It means a stranger can land on the site, trust it, sign up, pay, and use the product without hitting broken auth, exposed secrets, email failures, or random downtime.

For conversion lift, I would define ready as this: the marketing site loads fast enough to keep attention, the signup flow works on mobile, emails arrive in inboxes, payments do not fail silently, and the production stack is locked down so one leaked key does not become a support fire. If you cannot say "yes" to those points with evidence, you are not launch ready.

For cyber security specifically, I want zero exposed secrets, no critical auth bypasses, valid TLS everywhere, SPF/DKIM/DMARC passing, Cloudflare in front of the app where appropriate, and basic monitoring so you know within minutes if something breaks. A good target for a bootstrapped SaaS is p95 API latency under 500ms for core endpoints and a Lighthouse score above 85 on the main landing page.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain setup | Root domain and www resolve correctly | Users must reach the right app | Lost traffic, SEO dilution | | SSL/TLS | HTTPS forced everywhere | Protects logins and sessions | Browser warnings, token theft risk | | Email auth | SPF, DKIM, DMARC all pass | Improves deliverability | Signup emails hit spam or fail | | Secrets handling | No secrets in repo or client bundle | Prevents account takeover | API abuse, data exposure | | Auth flow | Login, signup, reset work end to end | Core conversion path depends on it | Broken onboarding and churn | | Redirects | HTTP to HTTPS and old URLs redirect cleanly | Preserves traffic and trust | Duplicate content and dead links | | Cloudflare/WAF | Basic DDoS protection and caching enabled | Reduces downtime risk | Slow site or easy abuse | | Monitoring | Uptime alerts configured and tested | You need fast incident awareness | Support tickets before you know | | Environment config | Prod env vars separated from dev/test | Avoids wrong data and broken features | Leaks test keys into prod | | Deployment safety | Rollback path exists and is tested | Lets you recover fast from bad deploys | Long outages after release |

The Checks I Would Run First

1. Domain and DNS sanity check Signal: the apex domain, www subdomain, app subdomain, and email records all point where they should. Tool or method: DNS lookup with `dig`, Cloudflare DNS panel review, and browser checks for redirect loops. Fix path: I would clean up A/AAAA/CNAME records, force one canonical domain, then add 301 redirects from old URLs so search engines and users do not get split across versions.

2. TLS and forced HTTPS check Signal: every route loads over HTTPS with no mixed content warnings. Tool or method: browser dev tools plus SSL Labs test. Fix path: I would install or verify Cloudflare SSL mode properly, force HTTPS at the edge or app layer once only, then remove any hardcoded `http://` assets or callback URLs that can break auth.

3. Secrets exposure check Signal: no API keys in Git history, frontend bundles, logs, or public `.env` files. Tool or method: secret scanning with GitHub secret scanning or TruffleHog plus a manual search in build output. Fix path: I would rotate any exposed keys immediately, move server-only values out of client code, lock down environment variables by environment name, then confirm nothing sensitive ships to the browser.

4. Email deliverability check Signal: SPF passes for your sender domain, DKIM signs messages correctly, and DMARC is set to at least `p=none` during setup with reporting enabled. Tool or method: MXToolbox plus test sends to Gmail and Outlook. Fix path: I would correct DNS records for your email provider like Google Workspace or Postmark/SendGrid/Mailgun, then verify signup emails and password resets land in inboxes instead of spam.

5. Auth and session integrity check Signal: signup creates the right user record once only; login persists correctly; password reset invalidates old tokens; protected routes cannot be opened anonymously. Tool or method: manual QA plus automated tests against real staging credentials. Fix path: I would trace session cookies, callback URLs, token expiry rules, CSRF protection if used by your stack, then patch any logic that lets users bypass access control or get stuck mid-onboarding.

6. Monitoring and rollback check Signal: uptime checks are live for homepage and app health endpoint; alerts go to email/Slack; deployment can be rolled back in minutes. Tool or method: UptimeRobot/Better Stack + deployment platform review like Vercel/Render/Fly.io/Railway/GitHub Actions logs. Fix path: I would add a simple health endpoint if missing, wire alerts to a human-owned channel not just a shared inbox, then document rollback steps so one bad release does not take down revenue for hours.

Red Flags That Need a Senior Engineer

1. You found secrets already committed to Git history. That is not a cosmetic issue. It means keys may already be copied into builds, forks, logs, or screenshots.

2. The app uses third-party auth but nobody can explain session handling. If you do not know where tokens live or how refresh works when they expire at 2 am UTC-5 time zones become support pain fast.

3. The production database shares credentials with staging or local dev. That creates accidental deletes waiting to happen.

4. Email flows are inconsistent across providers like Gmail and Outlook. If signup confirmation lands but reset emails do not arrive reliably within 60 seconds you will lose conversions every day.

5. There is no clear rollback plan for deployment failures. If one release can break checkout or onboarding for two hours while you debug in public you need senior help before launch.

DIY Fixes You Can Do Today

1. Turn on Cloudflare proxying for your main domain if your stack supports it cleanly. This gives you basic DDoS protection plus caching on static assets without touching application code.

2. Force one canonical URL pattern. Pick either `www` or apex as primary and redirect everything else there with 301s so users do not see duplicate versions of your site.

3. Audit environment variables manually before each deploy. Check that production keys are different from staging keys and that no secret appears in frontend code shipped to the browser.

4. Test signup from three angles: desktop Chrome incognito on Gmail address type 1 mobile Safari on iPhone type 2 Outlook address type 3 password reset after logout. If any of those fail your conversion funnel is already leaking users.

5. Add uptime monitoring today even if everything else is messy. A simple monitor on `/` and `/health` will at least tell you when launch breaks before customers do.

A small config example helps here:

SPF: v=spf1 include:_spf.google.com include:sendgrid.net ~all
DMARC: v=DMARC1; p=none; rua=mailto:dmarc@yourdomain.com

That is not the final state forever. It is the minimum starting point while you validate delivery before tightening policy later.

Where Cyprian Takes Over

Here is how I map failure types to deliverables:

  • Broken DNS or redirects -> domain cleanup,, subdomain mapping,, canonical redirect rules.
  • Mixed content,, bad SSL,, insecure callbacks -> Cloudflare setup,, SSL enforcement,, HTTPS verification.
  • Spammy email delivery -> SPF/DKIM/DMARC configuration,, sender alignment,, test sends.
  • Exposed secrets -> secret audit,, rotation plan,, environment variable cleanup.
  • Unstable deploys -> production deployment fix,, rollback notes,, handover checklist.
  • No visibility -> uptime monitoring setup,, alert routing,, basic incident runbook.
  • Weak cache/performance -> caching review at edge/app level so landing pages load faster and reduce bounce rate.

My order of operations is simple: 1) stabilize access, 2) secure the edge, 3) protect secrets, 4) verify email, 5) ship production, 6) hand over what changed so you are not guessing later.

If I am taking this on inside 48 hours I am optimizing for safe launch first. That usually means fewer changes than founders expect but far less risk than trying to rebuild everything at once.

References

  • roadmap.sh API Security Best Practices - https://roadmap.sh/api-security-best-practices
  • roadmap.sh Cyber Security - https://roadmap.sh/cyber-security
  • roadmap.sh Code Review Best Practices - https://roadmap.sh/code-review-best-practices
  • Cloudflare SSL/TLS documentation - https://developers.cloudflare.com/ssl/
  • Google Workspace SPF/DKIM/DMARC help - https://support.google.com/a/topic/2752442

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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.