Launch Ready cyber security Checklist for founder landing page: Ready for security review in AI tool startups?.
For an AI tool startup, 'ready' does not mean perfect. It means a security reviewer can load the page, inspect the domain setup, test email...
What "ready" means for a founder landing page security review
For an AI tool startup, "ready" does not mean perfect. It means a security reviewer can load the page, inspect the domain setup, test email authentication, verify TLS, check headers, confirm there are no exposed secrets, and see that the site will not embarrass you in front of users or investors.
If I were self-assessing this landing page, I would want four things to be true:
- The domain resolves correctly and only to approved hosts.
- HTTPS is enforced everywhere with no mixed content or weak TLS.
- No secrets, admin paths, or internal endpoints are exposed in the frontend, source maps, or deployment config.
- Email and monitoring are configured so support, signup, and alerts do not fail silently.
For a founder landing page in an AI tool startup, the security bar is practical. I would call it ready when:
- All public traffic redirects to HTTPS with a valid certificate.
- SPF, DKIM, and DMARC all pass for your sending domain.
- Cloudflare or equivalent edge protection is active.
- No critical secrets are present in client-side code or public repos.
- Uptime monitoring is live and alerting works.
- The page has no obvious auth bypasses, unsafe forms, or exposed admin surfaces.
- Core web performance is acceptable too: LCP under 2.5s on mobile and no layout shift that hurts trust.
That is the level where I would be comfortable saying the site is ready for security review instead of "we think it works."
Quick Scorecard
| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | HTTPS everywhere | All HTTP requests redirect to HTTPS with valid cert | Protects visitors and login/signup data | Browser warnings, trust loss, SEO damage | | DNS ownership clean | Only intended A/AAAA/CNAME records exist | Prevents hijacks and misroutes | Traffic leakage or takeover risk | | Cloudflare on | Proxy active with WAF/DDoS protection | Reduces attack surface | Bot traffic, basic DDoS exposure | | SPF passing | SPF record returns pass for sending domain | Improves deliverability | Emails land in spam or fail | | DKIM passing | Outbound mail signs correctly | Confirms message integrity | Spoofing risk and poor inbox placement | | DMARC enforced | Policy at least quarantine or reject after testing | Stops domain spoofing | Phishing risk using your brand | | No exposed secrets | Zero API keys in client bundle, repo, logs, maps | Prevents account compromise | Data theft and cloud abuse | | Security headers present | CSP, HSTS, X-Frame-Options or frame-ancestors set | Blocks common web attacks | Clickjacking and script injection exposure | | Monitoring active | Uptime checks + alerts configured and tested | Detects downtime fast | Lost leads and hidden outages | | Safe deployment path | Production deploy uses env vars and least privilege | Limits blast radius of mistakes | Broken release or leaked credentials |
The Checks I Would Run First
1. Domain and DNS ownership
Signal: I want to see only the records needed for production. If there are old Vercel, Netlify, GitHub Pages, or staging records still live, that is a risk.
Tool or method: `dig`, Cloudflare DNS panel, registrar audit.
Fix path: Remove stale records, lock the registrar with 2FA, turn on registry lock if available, and make sure only approved subdomains resolve. If you use multiple environments, separate them clearly.
2. TLS and redirect enforcement
Signal: Every HTTP request should end at HTTPS with one clean redirect chain. Certificate expiry should be tracked before it becomes a launch-day outage.
Tool or method: browser dev tools, SSL Labs test, `curl -I http://domain.com`.
Fix path: Force HTTPS at the edge. Turn on HSTS after confirming everything works over TLS. If you have mixed content from images or scripts, replace those URLs before launch.
3. Exposed secrets check
Signal: No API keys in frontend code, source maps, build logs, `.env` files committed to git history, or public deployment settings.
Tool or method: GitHub secret scan if available, manual repo search for `sk_`, `pk_`, `AIza`, `Bearer`, `.env`, source map inspection.
Fix path: Move all secrets server-side. Rotate anything already exposed. Treat a leaked key as compromised even if nobody has reported abuse yet.
A simple rule I use:
grep -R "sk_\|AIza\|Bearer\|SECRET\|API_KEY" .
If that finds anything in client-facing code or public assets that should not be public, stop shipping until it is removed and rotated.
4. Email authentication
Signal: SPF passes for your sender domain. DKIM signs outbound mail. DMARC aligns with either quarantine or reject after testing.
Tool or method: MXToolbox checks, Google Postmaster tools if relevant, test emails to Gmail/Outlook.
Fix path: Add correct DNS records for your email provider. Verify the exact sending domain used by product emails like onboarding links and waitlist confirmations. For AI startups this matters because signup flow failures often look like product bugs but are really mail delivery failures.
5. Security headers
Signal: The landing page sends headers that reduce browser-based attack surface. At minimum I want HSTS after HTTPS is stable and some CSP coverage that does not break legitimate assets.
Tool or method: browser dev tools network tab, securityheaders.com.
Fix path: Start simple. Add headers at Cloudflare or your host instead of scattering them across app code. Keep the policy strict enough to matter but not so strict that you break analytics scripts without noticing.
6. Monitoring and alerting
Signal: You know within minutes if the site goes down or SSL expires. A monitor should trigger a real alert to email or Slack that someone actually sees.
Tool or method: UptimeRobot, Better Stack, Pingdom-like checks; test by forcing a failure during setup.
Fix path: Monitor homepage availability plus one critical conversion endpoint like waitlist submit or booking link click-through. Alert on both downtime and certificate expiry so you do not discover problems from users.
Red Flags That Need a Senior Engineer
1. You have shipped from Lovable/Bolt/Cursor with no clear separation between frontend-only values and real secrets.
- This usually means one leaked key away from abuse charges or data exposure.
2. Your landing page calls third-party APIs directly from the browser.
- That exposes credentials unless carefully proxied server-side.
3. You do not know who owns DNS or the registrar login.
- This is how founders lose domains during handoff chaos.
4. You have multiple environments but no disciplined redirect plan.
- Staging links can get indexed publicly or leak internal details.
5. Your email deliverability is already shaky.
- If signup confirmations land in spam now, launch day support load will spike fast.
If any of those are true while you are running paid traffic into an AI product waitlist or demo funnel? I would buy help instead of improvising under pressure.
DIY Fixes You Can Do Today
1. Turn on two-factor authentication everywhere.
- Registrar first, then Cloudflare, then hosting provider and email provider.
2. Remove unused DNS records.
- Delete old preview domains and abandoned subdomains that no longer serve a purpose.
3. Check your live site for mixed content.
- If any asset loads over HTTP instead of HTTPS, replace it now.
4. Review your frontend bundle for secrets.
- Search your repo for API keys and move anything sensitive into environment variables on the server side only.
5. Test your email auth records.
- Send a message to Gmail and Outlook accounts you control and confirm SPF/DKIM/DMARC pass in message headers before launch traffic starts arriving.
Where Cyprian Takes Over
Here is how checklist failures map to the service:
| Checklist failure | What I fix in Launch Ready | Timeline | |---|---|---| | Domain misconfigurations | DNS cleanup, redirects, subdomains audit | Hours 0-8 | | Weak TLS setup | SSL install/verification plus HTTPS enforcement | Hours 0-8 | | Missing edge protection | Cloudflare setup with caching and DDoS protection | Hours 4-12 | | Email deliverability issues | SPF/DKIM/DMARC configuration validation | Hours 8-16 | | Exposed secrets risk | Environment variable cleanup and secret handling review | Hours 8-20 | | No monitoring alerts | Uptime monitoring setup plus alert routing test | Hours 16-24 | | Unsafe deployment process | Production deployment hardening and handover checklist | Hours 20-48 |
My preference is one focused sprint instead of piecemeal fixes across several weeks. That keeps launch delay low and reduces the chance that one missed setting creates support tickets later.
What you get at handover:
- DNS documented
- Redirects verified
- Subdomains mapped
- Cloudflare enabled
- SSL confirmed
- Caching tuned
- DDoS protection active
- SPF/DKIM/DMARC validated
- Production deployment checked
- Environment variables reviewed
- Secrets handling cleaned up
- Uptime monitoring live
- Handover checklist delivered
For AI tool startups specifically this matters because trust starts before product usage starts. If your landing page looks unstable or insecure while asking people to join a waitlist for an AI product they cannot yet verify themselves? Conversion drops fast.
Delivery Map
References
https://roadmap.sh/cyber-security https://roadmap.sh/api-security-best-practices https://roadmap.sh/code-review-best-practices https://developer.mozilla.org/en-US/docs/Web/Security/Transport_Layer_Security https://www.cloudflare.com/learning/security/glossary/dns-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.
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*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.