Launch Ready cyber security Checklist for AI-built SaaS app: Ready for launch in founder-led ecommerce?.
For this product, 'ready' does not mean 'the app works on my laptop.' It means a customer can visit the domain, sign up, pay, receive email, use the...
What "ready" means for a founder-led ecommerce SaaS app
For this product, "ready" does not mean "the app works on my laptop." It means a customer can visit the domain, sign up, pay, receive email, use the product without hitting broken auth or exposed data, and your launch will not create an avoidable security incident.
I would call it ready only if these are true:
- No exposed secrets in code, CI logs, or frontend bundles.
- Domain, redirects, subdomains, and SSL are correct on every entry point.
- Email authentication passes with SPF, DKIM, and DMARC.
- Production deploy is repeatable and rollback-safe.
- Monitoring tells you within minutes if signup, checkout, auth, or API calls break.
- DDoS protection and rate limits are in place before traffic hits ads or press.
- The app has no critical auth bypasses, broken access control, or public admin surfaces.
For founder-led ecommerce, the business risk is simple: one bad launch can burn ad spend, damage trust, increase support load, and create customer data exposure. I would target a launch baseline of zero exposed secrets, p95 API latency under 500ms for core flows, SPF/DKIM/DMARC passing, and no critical auth findings before you go live.
Quick Scorecard
| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain setup | Primary domain resolves correctly and redirects are consistent | Customers must land on the right site every time | Broken SEO, duplicate URLs, trust loss | | SSL/TLS | HTTPS valid on all domains and subdomains | Prevents browser warnings and session risk | Checkout drop-off, insecure cookies | | Secrets handling | Zero exposed secrets in repo, build logs, or client bundle | Prevents account takeover and API abuse | Data leak, unauthorized access | | Auth controls | No critical auth bypasses; roles enforced server-side | Protects customer and admin data | Cross-account data exposure | | Email authentication | SPF/DKIM/DMARC all pass | Improves deliverability and protects brand reputation | Emails land in spam or get spoofed | | Redirects/subdomains | www/non-www and app/admin routes are intentional | Avoids duplicate content and bad routing | Broken login links, SEO dilution | | Cloudflare/DDoS | WAF/rate limits active on sensitive routes | Reduces bot abuse during launch spikes | Signup floods, scraping, downtime | | Deployment safety | Production deploy is repeatable with rollback plan | Lowers release risk during launch window | Broken release with no fast recovery | | Monitoring/alerts | Uptime checks plus error alerts on key flows | Detects issues before customers do | Silent failures and support backlog | | Performance baseline | Core pages load fast enough; LCP under 2.5s on mobile target pages | Conversion depends on speed | Higher bounce rate and wasted ad spend |
The Checks I Would Run First
1. Public surface scan
- Signal: The homepage, login page, admin paths, API docs, storage buckets, and old staging URLs are discoverable from search engines or source maps.
- Tool or method: I would check DNS records, crawl the site like a user and like a bot, inspect robots.txt/sitemap.xml, review source maps in production builds if they exist.
- Fix path: Remove public staging links from production config, block indexing for non-public areas where appropriate, disable source maps in production unless you have a strong reason to ship them.
2. Secrets exposure review
- Signal: Keys appear in `.env`, Git history, frontend code bundles, CI output, webhook configs, or pasted screenshots.
- Tool or method: I would scan the repo history plus current build artifacts for high-risk patterns like API keys and private tokens. I would also inspect environment variable usage to confirm nothing sensitive reaches the browser.
- Fix path: Rotate anything exposed immediately. Move secrets to server-side env vars or managed secret storage. If a key was shipped to the client bundle once, treat it as compromised.
3. Auth and authorization test
- Signal: A logged-in user can view another customer's order data by changing an ID in the URL or request body. Admin-only actions are reachable without proper role checks.
- Tool or method: I would test object-level access manually using two accounts with different roles. I would inspect API responses for tenant IDs and permission checks.
- Fix path: Enforce authorization on the server for every sensitive endpoint. Never trust client-side role flags alone. Add regression tests for cross-account access.
4. Email deliverability check
- Signal: Password reset emails go to spam or fail entirely. Domain spoofing is possible because SPF/DKIM/DMARC are missing or misaligned.
- Tool or method: I would verify DNS records against your email provider dashboard and send test messages to Gmail and Outlook accounts.
- Fix path: Set SPF to include only approved senders. Enable DKIM signing. Start DMARC at monitoring mode if needed, then tighten policy after validation.
5. Deployment integrity review
- Signal: Production deploy depends on manual steps in someone's laptop terminal. Rollback is unclear. Environment variables differ between preview and prod.
- Tool or method: I would trace the deployment pipeline from git push to live traffic. I want to see what happens when a release fails halfway through.
- Fix path: Use one documented production path with clear env separation. Store rollback steps in writing. Confirm migrations are backward compatible before deploy.
6. Monitoring and abuse controls
- Signal: You only find outages from customer complaints. Login forms can be brute-forced without friction. Bots can hammer signup or password reset endpoints.
- Tool or method: I would review uptime checks for homepage/login/API health endpoints plus alert routing to email/Slack/SMS. Then I would test rate limiting on auth-sensitive routes.
- Fix path: Add uptime monitoring from at least two regions. Alert on 5xx spikes and auth failures. Put Cloudflare WAF/rate limits in front of signup/login/reset endpoints.
Red Flags That Need a Senior Engineer
1. You have never rotated secrets after sharing the repo with contractors or AI tools. 2. Your app uses custom auth logic but has no automated tests for role-based access. 3. Staging and production share databases, storage buckets, or third-party credentials. 4. Your launch depends on fixing DNS while ads are already scheduled to start. 5. You cannot explain how you would recover if deployment breaks checkout at peak traffic.
If any of these are true, DIY is expensive false confidence. The cost is not just technical debt; it is broken onboarding, lost revenue from failed launches that day one traffic cannot recover from.
DIY Fixes You Can Do Today
1. Rotate any secret you have ever pasted into chat tools or shared screenshots of
- Start with payment keys,
email provider keys, database passwords, OAuth client secrets, webhook signatures, Cloudflare tokens.
2. Check your DNS records now
- Confirm the root domain points where you expect it to point.
- Make sure www redirects consistently to either root or www version only.
3. Turn on HTTPS everywhere
- Force redirect HTTP to HTTPS.
- Verify cookies marked Secure where needed.
4. Test your email deliverability
- Send password reset emails to Gmail and Outlook accounts.
- If they land in spam now,
fix SPF/DKIM/DMARC before launch traffic starts.
5. Add basic uptime alerts
- Monitor homepage,
login, checkout, health endpoint, API error rate.
A simple DMARC starting point looks like this:
v=DMARC1; p=none; rua=mailto:dmarc@yourdomain.com; adkim=s; aspf=s
That is not the final policy for every business, but it gives you visibility before enforcement.
Where Cyprian Takes Over
When these checks fail, I do not start with redesigning screens. I start by removing launch risk in the shortest possible sequence.
- DNS issues -> I fix domain records,
redirects, subdomains, then verify propagation across major resolvers.
- SSL problems -> I configure certificates,
force HTTPS, clean up mixed content, then retest login and checkout flows.
- Secrets exposure -> I rotate keys,
move secrets server-side, audit environment variables, then confirm nothing sensitive ships to the browser.
- Email failures -> I set SPF/DKIM/DMARC correctly,
validate sender reputation basics, then test transactional mail end-to-end.
- Deployment instability -> I harden production deploys,
separate environments, add rollback steps, then document handover so you are not dependent on me forever.
- No monitoring -> I add uptime checks,
error alerts, basic logging visibility, then hand over what to watch during launch week.
my goal is not abstract security theory. It is a production-safe handover where your ecommerce SaaS can accept real traffic without obvious breakpoints around domain setup, email delivery, deployment hygiene, or exposed credentials.
If you want me to take this off your plate fast:
- Domain
- Cloudflare
- SSL
- Deployment
- Secrets
- Monitoring
That is the sprint scope that gets you from "working prototype" to "safe enough to launch."
References
- https://roadmap.sh/api-security-best-practices
- https://roadmap.sh/cyber-security
- https://roadmap.sh/code-review-best-practices
- https://roadmap.sh/frontend-performance-best-practices
- https://developer.mozilla.org/en-US/docs/Web/Security/Practical_implementation_guides/HTTP_public_key_pinning?not_used_here=1
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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.*
Cyprian Tinashe Aarons — Senior Full Stack & AI Engineer
Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.