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

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

If you are running paid traffic to an AI-built SaaS for coaches or consultants, "ready" does not mean the app works on your laptop. It means a cold visitor can land, sign up, pay, and get value without exposing secrets, breaking auth, or creating support tickets.

For this market, I would define launch ready as:

• The domain resolves cleanly.
• Email deliverability is working with SPF, DKIM, and DMARC passing.
• SSL is enforced everywhere.
• No public secrets are exposed in code, logs, or client-side bundles.
• Production deploys are repeatable.
• Monitoring alerts you before customers do.
• The signup and payment path survives real traffic, retries, and edge cases.

If any of those fail, paid acquisition becomes waste. You pay for clicks that cannot convert, or worse, you create trust damage in a market that buys on credibility.

The bar I use is simple: zero exposed secrets, no critical auth bypasses, p95 API latency under 500 ms on core user flows, and email authentication passing before the first ad dollar goes live.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain ownership | Root domain and subdomains point to the right app | Visitors must reach the right product | Broken landing pages, wrong app version | | SSL everywhere | HTTPS enforced with no mixed content | Trust and browser safety | Login warnings, blocked assets | | DNS hygiene | A/AAAA/CNAME records are correct and documented | Prevents routing mistakes | Downtime during launch changes | | Email auth | SPF, DKIM, DMARC all pass | Deliverability for receipts and onboarding | Emails land in spam or fail | | Secrets handling | No secrets in repo, client bundle, or logs | Prevents account takeover and data exposure | Breach risk and vendor abuse | | Auth controls | No auth bypasses; sessions expire correctly | Protects customer data and billing areas | Unauthorized access | | Rate limiting | Signup/login/API endpoints throttled | Stops brute force and abuse | Account stuffing and cost spikes | | Cloudflare/WAF | DDoS protection and basic rules enabled | Shields launch-day traffic spikes | Outage from bots or attacks | | Monitoring | Uptime checks and alerting active 24/7 | Detects failures fast enough to act | Slow outages and lost conversions | | Backups/recovery | Restore path tested once before launch | Reduces blast radius of mistakes | Permanent data loss |

The Checks I Would Run First

1) Public exposure check Signal: I look for secrets in the repo history, frontend bundle, environment files committed by mistake, and error logs. If I can find API keys from the browser or Git history in under 15 minutes, the app is not safe for paid traffic.

Tool or method: `git log`, code search across `.env`, browser devtools source maps, secret scanning tools like GitHub secret scanning or TruffleHog.

Fix path: Remove exposed secrets immediately, rotate every leaked key, purge source maps from production if they reveal internals, then move all sensitive values to server-side environment variables only.

2) Authentication and authorization check Signal: I test whether one user can see another user's data by changing IDs in URLs or API calls. I also check password reset flows, session expiry, admin routes, and invite links.

Tool or method: Manual API testing with Postman or browser devtools plus a short test matrix for role-based access.

Fix path: Enforce server-side authorization on every protected route. Do not trust frontend hiding alone. Add tests for IDOR-style attacks so the same bug does not return after a refactor.

3) Email deliverability check Signal: Transactional emails arrive in inboxes with SPF/DKIM/DMARC passing. If onboarding emails go to spam, your activation rate drops fast because coach and consultant buyers often decide within minutes whether they trust you.

Tool or method: MXToolbox checks plus Gmail/Outlook seed inbox tests.

Fix path: Set SPF to include only approved senders. Enable DKIM signing. Start DMARC at `p=none`, verify alignment, then move toward `quarantine` or `reject` once stable.

v=DMARC1; p=quarantine; rua=mailto:dmarc@yourdomain.com; adkim=s; aspf=s

4) Rate limit and abuse check Signal: Repeated signup attempts do not create unlimited accounts or spam outbound email. Login endpoints should slow down brute force attempts without blocking normal users.

Tool or method: Basic load testing plus repeated request tests against login, password reset, invite creation, webhook endpoints.

Fix path: Add rate limits per IP and per account identifier. Put bot protection on signup forms. If there is an AI feature with external tool access, gate it behind authenticated usage caps.

5) Production deployment check Signal: A deploy can be repeated without manual heroics. Rollbacks work. Environment variables differ between staging and production only where expected.

Tool or method: Deployment checklist review plus one controlled production-like release dry run.

Fix path: Create a single source of truth for deployment steps. Separate preview/staging/prod env vars. Verify build-time versus runtime config so private values never get bundled into the client app.

6) Monitoring and recovery check Signal: I can tell when uptime drops below target before customers complain. Alerts should fire on availability failures, high error rates, failed jobs, email provider issues, and payment webhook errors.

Tool or method: Uptime monitoring such as UptimeRobot or Better Stack plus log/error tracking like Sentry.

Fix path: Set alert thresholds on login failures, checkout failures, 5xx spikes above baseline, queue backlogs, and email bounce rates. Test one alert end-to-end before launch day.

Red Flags That Need a Senior Engineer

1. You have no idea where secrets live. If keys are scattered across Lovable exports, local files, third-party integrations, and hosting dashboards without inventory control, DIY usually makes it worse before it gets better.

2. Your auth was generated by AI without a real review. AI-generated login flows often miss server-side checks. That creates account takeover risk even when the UI looks polished.

3. You are using multiple vendors but cannot explain data flow. If Stripe webhooks go here while email goes there while analytics goes somewhere else again, you need someone to trace the attack surface end to end.

4. Your app has admin features already exposed. Admin panels behind weak route guards are a common failure point. One bad link can become a customer data incident.

5. Paid ads are scheduled but monitoring is not ready. Launching traffic without uptime alerts is how founders discover failures after burning budget for hours.

DIY Fixes You Can Do Today

1. Rotate any key you have ever pasted into chat tools or shared screenshots of. Treat every visible secret as compromised until proven otherwise.

2. Turn on Cloudflare proxying for public web traffic. This gives you DDoS protection basics plus an extra layer between your origin server and random traffic spikes.

3. Enforce HTTPS redirect rules now. Make sure both `http://` versions of your pages redirect to `https://` with one canonical domain only.

4. Verify SPF/DKIM/DMARC before sending another onboarding email. Use MXToolbox or your email provider dashboard until all three pass cleanly.

5. Add one uptime monitor to your homepage and one to your login page. If either fails twice in a row for more than 2 minutes during launch week instead of 24/7 silence means support chaos later.

Where Cyprian Takes Over

This is where I step in when the checklist stops being a founder task and becomes production risk management.

If you have DNS confusion:

• I fix domain routing.
• I set redirects.
• I configure subdomains cleanly.
• Timeline: same day inside the 48-hour sprint window.

If email is hurting trust:

• I configure SPF/DKIM/DMARC properly.
• I validate transactional sender setup.
• Timeline: within hours once DNS access is available.

If deployment feels fragile:

• I push production safely.
• I separate environment variables from secrets.
• I confirm build settings so nothing sensitive leaks into client code.
• Timeline: day 1 to day 2 depending on hosting complexity.

If security is unclear:

• I review exposed surfaces.
• I harden Cloudflare settings.
• I add caching where safe.
• I verify SSL enforcement plus basic WAF rules.
• Timeline: included inside the sprint unless there is a deeper auth redesign needed.

If observability is missing:

• I set uptime monitoring.
• I create handover notes so you know what to watch after launch.
• Timeline: final stage before handoff so you are not guessing after ads start spending.

• DNS
• Redirects
• Subdomains
• Cloudflare
• SSL
• Caching
• DDoS protection
• SPF/DKIM/DMARC
• Production deployment
• Environment variables
• Secrets handling
• Uptime monitoring
• Handover checklist

My recommendation is straightforward: if three or more items in the scorecard fail today - especially secrets handling, auth controls, email auth - stop buying traffic until they are fixed. The cost of one incident usually exceeds the sprint fee many times over through refunds、support load、and lost ad spend。

References

1. roadmap.sh Code Review Best Practices - https://roadmap.sh/code-review-best-practices 2. roadmap.sh API Security Best Practices - https://roadmap.sh/api-security-best-practices 3. roadmap.sh Cyber Security - https://roadmap.sh/cyber-security 4. OWASP Application Security Verification Standard - https://owasp.org/www-project-web-security-testing-guide/ 5. Cloudflare Learning Center - https://www.cloudflare.com/learning/

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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.*