Launch Ready cyber security Checklist for AI-built SaaS app: Ready for first 100 users in founder-led ecommerce?.

Launch Ready cyber security Checklist for AI-built SaaS app: Ready for first 100 users in founder-led ecommerce?

"Ready" for this kind of product does not mean "the app runs on my laptop." It means a stranger can sign up, pay, receive emails, use the core workflow, and trust your site without exposing customer data or breaking the checkout path.

For founder-led ecommerce, I would call it ready only if these are true:

• The domain resolves correctly with HTTPS on every entry point.
• Email deliverability is working with SPF, DKIM, and DMARC passing.
• No secrets are exposed in the frontend, repo, logs, or build output.
• Auth is locked down so users cannot access another user's orders, profiles, or admin routes.
• Cloudflare or equivalent edge protection is active.
• Production monitoring exists for uptime, errors, and basic security events.
• The first 100 users can complete signup and purchase without support chaos.

If any one of those fails, the business risk is not technical trivia. It becomes lost conversions, failed app review if you ship mobile too soon, support tickets, chargeback risk, downtime during launch ads, and avoidable data exposure.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | HTTPS everywhere | All canonical URLs redirect to one HTTPS host | Trust and browser safety | Login warnings, SEO loss, broken cookies | | No exposed secrets | Zero API keys in repo, UI bundle, logs, or env dumps | Prevents account takeover and billing abuse | Stripe abuse, email sending abuse, cloud spend spikes | | Authz on every user object | Users can only read/write their own records | Protects customer data | Order leaks, account hijack risk | | Admin routes protected | Admin pages require role-based access | Stops unauthorized access | Full back office compromise | | SPF/DKIM/DMARC passing | All three pass for sending domain | Inbox placement and spoofing defense | Emails land in spam or get spoofed | | Cloudflare enabled | WAF/CDN/DDoS protection active on production DNS | Reduces attack surface at launch | Bot traffic, downtime, origin exposure | | Rate limiting present | Login/signup/reset endpoints limited per IP/user | Stops brute force and abuse | Credential stuffing and signup spam | | Error logging works | Errors captured with request context but no secrets | Faster incident response without leakage | Blind outages and leaked tokens | | Uptime monitoring set | Health checks alert within 5 minutes | Protects launch day revenue | Silent downtime during paid traffic | | Backup and rollback ready | You can restore or redeploy in under 30 minutes | Limits blast radius of bad deploys | Long outage after a bad release |

The Checks I Would Run First

1. Domain and redirect chain

Signal: `http://`, `www`, apex domain, and app subdomain all resolve to one intended production URL with a single 301 chain.

Tool or method: Browser test plus `curl -I` on each variant. I also check whether cookies are scoped correctly after redirect.

Fix path: Set one canonical host, force HTTPS at the edge, remove redirect loops, then verify login cookies still work after the final redirect.

2. Secret exposure audit

Signal: No `.env` values in frontend code, no keys in Git history that can be used from a browser console or public bundle.

Tool or method: Search the repo for common key patterns. Check build artifacts in DevTools Network tab. Review logs for tokens or webhook signatures.

Fix path: Move all sensitive values to server-side environment variables. Rotate anything that was already exposed. If a key touched a public bundle once, treat it as compromised.

3. Authentication and authorization boundaries

Signal: A signed-in user cannot access another user's order data by changing an ID in the URL or API request.

Tool or method: Manual test with two test accounts plus API requests using Postman or cURL. I look for broken object-level authorization first because AI-built apps often miss it.

Fix path: Enforce ownership checks server-side on every read/write route. Do not rely on hidden UI controls. Add role checks for admin endpoints separately.

4. Email security and deliverability

Signal: SPF passes, DKIM passes, DMARC passes at policy `quarantine` or `reject`, and transactional emails land in inboxes consistently.

Tool or method: Use MXToolbox-style checks plus real sends to Gmail and Outlook. Confirm bounce handling and reply-to behavior.

Fix path: Configure DNS records correctly through your mail provider. Separate marketing from transactional sending if volume grows. For launch week, keep one verified sending domain only.

5. Edge protection and abuse controls

Signal: Cloudflare proxy is active where appropriate, bot traffic is filtered enough that login/signup does not get hammered by scripts.

Tool or method: Review Cloudflare dashboard settings for WAF rules, rate limiting, bot protection, SSL mode set correctly to avoid origin issues.

Fix path: Put the app behind Cloudflare proxy with strict origin access where possible. Add rate limits to auth endpoints and webhook receivers before you spend on ads.

6. Monitoring and incident visibility

Signal: A real error appears in your monitoring tool within minutes with enough context to identify route, user impact, and deployment version.

Tool or method: Trigger a test exception plus a synthetic uptime check against `/health` or equivalent. Confirm alerts reach email or Slack.

Fix path: Add uptime monitoring first, then application error tracking second. Strip secrets from logs before you turn on verbose debugging.

Red Flags That Need a Senior Engineer

1. You cannot explain where user data lives.

If you do not know whether orders are stored in Postgres, Firebase, Supabase rows, third-party SaaS tables, or multiple places at once, you do not have a security model yet. That usually means hidden duplication and unknown exposure paths.

2. Secrets were committed already.

Once keys have been pushed into GitHub or shipped into a browser bundle, the fix is not "delete the file." It requires rotation across vendors so old credentials stop working everywhere.

3. Any user can see another user's record by changing an ID.

This is the classic AI-built SaaS failure. It creates direct customer data exposure and can become a reportable incident fast if you have ecommerce order details involved.

4. The app has custom auth plus custom roles plus custom webhooks.

That combination often breaks under edge cases like password resets, stale sessions, webhook retries, duplicate charges, or admin actions performed from the wrong account context.

5. Launch traffic depends on paid ads but uptime is unmonitored.

shipping without alerts is reckless. One hour of silent outage can waste more than this service costs.

DIY Fixes You Can Do Today

1. Turn on HTTPS redirects everywhere.

Make sure apex domain redirects to one canonical host over TLS. Test `http://yourdomain.com`, `http://www`, `https://www`, and your app subdomain manually before launch day.

2. Rotate any secret that has ever been pasted into chat tools or shared docs.

Assume anything copied into screenshots, Slack, Notion, GitHub issues, or AI prompts may be exposed later. Replace live keys now rather than after an incident.

3. Create two test accounts and try to break ownership rules.

Log in as User A, then try User B's profile, order page, invoice link, reset token, webhook endpoint, or admin URL by changing IDs manually. If it works once, stop launch prep until it is fixed.

4. Set up basic email authentication records.

v=spf1 include:_spf.yourprovider.com -all

That alone is not enough, but it is better than shipping unauthenticated mail. You still need DKIM signing from your provider and DMARC reporting so spoofing attempts do not go unnoticed.

5. Add one uptime check today.

Create a simple health endpoint like `/health` that returns `200`. Then monitor it every 5 minutes from outside your hosting provider so you catch real outages instead of local false positives.

Where Cyprian Takes Over

Here is how I map common failures to Launch Ready deliverables:

• Broken DNS setup -> domain configuration cleanup in 48 hours
• Mixed HTTP/HTTPS behavior -> SSL enforcement plus redirect normalization
• Missing email authentication -> SPF/DKIM/DMARC setup
• Publicly exposed env vars -> environment variable cleanup plus secret handling review
• Weak edge protection -> Cloudflare setup with caching and DDoS protection
• Missing production deployment discipline -> production deploy validation
• No uptime visibility -> monitoring setup
• No handover docs -> handover checklist so your team knows what changed

For founder-led ecommerce apps aiming at the first 100 users,

delivered in 48 hours, with the goal of getting your domain, email, deployment, and monitoring into a state that will not embarrass you during launch week.

My priority order is simple:

1. Stop data exposure risk. 2. Stop email deliverability failures. 3. Stop downtime during acquisition spend. 4. Make rollback possible if something breaks after launch.

If your app already has working code but weak production safety, this is exactly where I step in instead of wasting another week on guesswork.

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 Top 10: https://owasp.org/www-project-top-ten/
• Cloudflare Security Documentation: https://developers.cloudflare.com/security/

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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.*