checklists / launch-ready

Launch Ready cyber security Checklist for AI-built SaaS app: Ready for security review in coach and consultant businesses?.

When I say 'ready' for a coach or consultant SaaS app, I mean a reviewer can click through the product without finding obvious ways to leak customer data,...

Launch Ready cyber security Checklist for AI-built SaaS app: Ready for security review in coach and consultant businesses?

When I say "ready" for a coach or consultant SaaS app, I mean a reviewer can click through the product without finding obvious ways to leak customer data, bypass auth, break email delivery, or expose your infrastructure. For this market, the bar is not "it works on my laptop." The bar is: login is protected, roles are enforced, secrets are not in the codebase, email lands in inboxes, subdomains are intentional, Cloudflare is in front of the app, and monitoring tells you when something breaks.

If your app handles client notes, bookings, invoices, assessments, or AI-generated recommendations, then security review is really a trust review. A founder should be able to answer yes to these questions:

  • No critical auth bypasses
  • Zero exposed secrets in repo or client bundle
  • SPF, DKIM, and DMARC all pass
  • Production domain is behind Cloudflare with SSL active
  • Redirects and subdomains are intentional
  • Uptime monitoring is live
  • p95 API latency is under 500ms for core flows
  • Error logging does not expose personal data

If you cannot prove those items in under 10 minutes, you are not ready yet.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Auth | Login required on all private routes | Prevents unauthorized access | Data exposure, fake accounts | | Authorization | Users only see their own records | Stops cross-account leaks | Client data breach | | Secrets | No secrets in repo, logs, or frontend bundle | Protects keys and tokens | API abuse, billing loss | | Domain + SSL | HTTPS only, valid certs on all domains | Trust and transport security | Browser warnings, failed review | | Cloudflare | WAF/CDN active with DDoS protection | Reduces attack surface | Outages under traffic spikes | | Email auth | SPF/DKIM/DMARC passing | Inbox placement and spoofing defense | Emails go to spam or get forged | | Redirects | One canonical domain path only | Avoids phishing and SEO drift | Confusing user journeys | | Monitoring | Uptime alerts and error alerts enabled | Faster incident response | Silent downtime | | Input validation | Server rejects bad payloads safely | Blocks injection and crashes | Broken forms, abuse vectors | | Logging/privacy | No PII in logs; audit trail enabled | Reduces compliance risk | Privacy incidents and support load |

The Checks I Would Run First

1. Authentication coverage

Signal: private pages load without a session cookie or token. That is an immediate fail.

Tool or method: I would test route-by-route in a browser and then replay requests with curl or Postman. I also check whether server-side rendering leaks protected content before redirect.

Fix path: add route guards at the server layer first, then mirror them in the UI. Do not rely on hidden buttons or client-only checks.

2. Authorization boundaries

Signal: one logged-in user can change an ID in the URL and see another client's record. This is one of the most common AI-built app failures.

Tool or method: I would test object IDs across accounts with two separate test users. I also inspect API handlers for direct object lookup without ownership checks.

Fix path: enforce ownership on every read/write operation. Use account-scoped queries and verify tenant ID on the backend before returning anything.

3. Secrets handling

Signal: API keys appear in `.env` files committed to GitHub history, browser source maps, build output, or console logs.

Tool or method: I would run secret scanning against the repo history and inspect production bundles. I also check deployment settings for environment variable leakage.

Fix path: rotate every exposed key immediately. Move secrets into deployment environment variables only and remove them from client-side code completely.

4. Email authentication

Signal: outbound mail fails SPF/DKIM/DMARC checks or lands in spam when sent from your domain.

Tool or method: I would use MXToolbox plus a real inbox test from Gmail and Outlook. Then I verify DNS records at the registrar and Cloudflare level.

Fix path: publish correct SPF includes, enable DKIM signing with your provider, set DMARC to at least `p=quarantine` after testing. If this is wrong, your onboarding emails will fail review and your users will miss password resets.

5. Cloudflare and SSL posture

Signal: origin IP is public, HTTP still works without redirecting cleanly to HTTPS, or some subdomains bypass Cloudflare.

Tool or method: I would inspect DNS records, certificate status, page headers, and origin exposure using a basic network trace plus DNS lookup tools.

Fix path: put all public traffic behind Cloudflare proxy where appropriate, force HTTPS at edge level, lock down origin access by firewall rules or allowlists.

6. Logging and alerting

Signal: errors happen silently until a founder notices them from a customer message.

Tool or method: I would trigger a controlled failure in staging and verify logs appear with useful context but no sensitive fields. Then I confirm uptime alerts reach email or Slack within minutes.

Fix path: add structured logs for auth events, payment events, failed jobs, and API exceptions. Set alerts for downtime, high error rate, expired certs, and queue backlogs.

SPF: v=spf1 include:_spf.your-email-provider.com -all
DMARC: v=DMARC1; p=quarantine; rua=mailto:dmarc@yourdomain.com

Red Flags That Need a Senior Engineer

1. You have multiple AI-generated services talking to each other with no clear auth model.

That usually means one broken permission check can expose everything.

2. Your app stores coach notes, assessments, recordings, or client messages but has no tenant isolation test.

This is how cross-client leaks happen without anyone noticing until after launch.

3. You do not know where secrets live.

If the answer includes GitHub history, local `.env` files shared around Slack/WhatsApp groups, or frontend variables used "just for now," stop shipping immediately.

4. Email deliverability is already failing.

If onboarding emails are missing customers before launch day, support load goes up fast and conversions drop hard.

5. The product has been stitched together across Lovable/Bolt/Cursor plugins with no deployment owner.

In that setup there is usually no single place to fix DNS drift, redirect loops, broken env vars from staging to prod shifts between deploys.

DIY Fixes You Can Do Today

1. Turn on MFA for every admin account.

This cuts takeover risk fast and costs nothing except 10 minutes per account.

2. Rotate any key that was pasted into chat tools or committed to Git.

If you are unsure whether it was exposed once assume it was exposed twice.

3. Verify every private route returns a redirect when logged out.

Test dashboard pages directly by URL instead of clicking through the homepage only.

4. Check SPF/DKIM/DMARC with your email provider dashboard.

If any one of them fails fix DNS before sending another onboarding campaign.

5. Add uptime monitoring right now.

Even a basic monitor on home page login page checkout page and webhook endpoint gives you early warning before customers do.

Where Cyprian Takes Over

I use Launch Ready when the product needs to be security-review ready fast without turning into a long rebuild project.

  • DNS cleanup
  • Redirects and canonical domain setup
  • Subdomain mapping
  • Cloudflare setup
  • SSL verification
  • Caching configuration
  • DDoS protection settings
  • SPF/DKIM/DMARC configuration support
  • Production deployment checks
  • Environment variable audit
  • Secret handling review
  • Uptime monitoring setup
  • Handover checklist

Here is how I map failures to the service outcome:

| Failure found in checklist | What I do in Launch Ready | Timeline | |---|---|---| | Auth gaps on public/private routes | Tighten deployment config and hand off exact app fixes needed if code changes are required beyond sprint scope | Day 1 | | Secret exposure risk | Audit env vars, remove frontend leakage paths, rotate guidance included in handover checklist | Day 1 | | Domain/SSL issues | Fix DNS records where possible through Cloudflare setup and validate HTTPS everywhere | Day 1 | | Email fails authentication tests | Configure SPF/DKIM/DMARC records and verify inbox readiness across providers | Day 1 to Day 2 | | Missing monitoring/logging basics | Set uptime monitoring plus alert routing so outages do not stay hidden for hours | Day 2 | | Deployment confusion between staging/prod | Confirm production deployment target and document release handover steps clearly | Day 2 |

My recommendation is simple: if you are under time pressure before investor review demo day client launch or paid acquisition spend starts then buy the sprint instead of trying to learn infrastructure from scratch.

Mermaid Diagram

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 - https://roadmap.sh/cyber-security
  • Cloudflare Docs - https://developers.cloudflare.com/
  • Google Workspace Admin Help for SPF/DKIM/DMARC - 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.