checklists / launch-ready

Launch Ready cyber security Checklist for AI chatbot product: Ready for production traffic in AI tool startups?.

For an AI chatbot product, 'ready for production traffic' means a stranger can hit your app, sign in, chat, and get a reliable answer without exposing...

What "ready" means for an AI chatbot product

For an AI chatbot product, "ready for production traffic" means a stranger can hit your app, sign in, chat, and get a reliable answer without exposing secrets, leaking customer data, or breaking your billing and support flow. It also means your domain, email, SSL, monitoring, and deployment are set up so a launch spike does not turn into downtime or account takeover risk.

If I were self-assessing this as a founder, I would want to see all of these before I spend on ads or invite customers:

  • No exposed API keys in the repo, frontend bundle, logs, or CI output.
  • Auth is enforced on every private route and every chat/session endpoint.
  • SPF, DKIM, and DMARC all pass for the sending domain.
  • Cloudflare is in front of the app with SSL forced and basic DDoS protection enabled.
  • Production deploys are repeatable, monitored, and reversible.
  • Uptime alerts exist before launch, not after the first outage.
  • Chat requests do not allow prompt injection to trigger unsafe tool use or data exfiltration.
  • p95 API latency stays under 500 ms for normal chat traffic.
  • The user can recover from empty states, failed sends, expired sessions, and rate limits without support tickets.

If any of those are missing, you do not have a launch-ready product. You have a prototype that may fail under real traffic.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | DNS and domain setup | Root domain and key subdomains resolve correctly with no mixed content | Users need a stable entry point | Broken login links, bad redirects, trust loss | | SSL everywhere | HTTPS forced on all pages and APIs | Protects sessions and tokens | Browser warnings, stolen cookies | | Email authentication | SPF, DKIM, DMARC all pass | Prevents spoofing and improves deliverability | Password reset and onboarding emails land in spam | | Secrets handling | Zero secrets in repo or client bundle | Stops credential leaks | Account takeover, cloud bill abuse | | Authz on chat APIs | Private endpoints reject unauthenticated access | Protects user data and usage costs | Data exposure and free abuse | | Rate limiting | Abuse controls on auth and chat endpoints | Prevents bot spam and cost spikes | API bill shock and downtime | | Cloudflare protection | WAF/CDN/DDoS enabled with sensible rules | Reduces attack surface | Traffic floods take the app down | | Monitoring alerts | Uptime checks plus error alerts active 24/7 | Detects failure fast | You find outages from customers | | Deployment safety | Rollback path exists and was tested once | Limits blast radius of bad deploys | Long outage after a bad release | | Logging hygiene | Logs exclude secrets, prompts with PII masked where possible | Prevents data leakage via logs | Sensitive data ends up in third-party tools |

The Checks I Would Run First

1. Public exposure audit

  • Signal: Can I access admin pages, internal APIs, debug routes, or chat history without being logged in?
  • Tool or method: Browser incognito session plus `curl` against every route you think is private.
  • Fix path: Add server-side auth checks on every protected route. Do not trust frontend hiding alone.

2. Secret leak scan

  • Signal: Any API key appears in Git history, environment files committed by mistake, frontend source maps, logs, or build output.
  • Tool or method: Search the repo for common key patterns plus secret scanning in GitHub/GitLab.
  • Fix path: Rotate anything exposed immediately. Move secrets to server-side env vars only. Rebuild artifacts after removal.

3. Email deliverability check

  • Signal: Password reset emails or onboarding messages fail SPF/DKIM/DMARC or land in spam.
  • Tool or method: Send test mail to Gmail and Outlook plus inspect headers with MXToolbox or similar.
  • Fix path: Configure SPF/DKIM/DMARC correctly on the sending domain. Use a dedicated transactional sender if needed.

4. Cloudflare edge review

  • Signal: HTTPS is not forced everywhere; origin IP is public; caching rules are wrong; DDoS protection is off.
  • Tool or method: Inspect DNS records, SSL mode, page rules/redirect rules, firewall events.
  • Fix path: Put Cloudflare in front of the app. Lock origin access down. Force HTTPS. Set sane cache bypass rules for authenticated routes.

5. Prompt injection red-team pass

  • Signal: A user can instruct the bot to reveal system prompts, hidden files, API keys, admin notes, or call unsafe tools.
  • Tool or method: Run a small red-team set with jailbreak attempts like "ignore previous instructions" plus tool misuse cases.
  • Fix path: Separate system instructions from user content. Restrict tool permissions. Add allowlists and human escalation for sensitive actions.

6. Monitoring and rollback validation

  • Signal: There is no alert when uptime drops or error rate spikes; rollback has never been tested.
  • Tool or method: Trigger a safe test alert using uptime monitoring plus do one controlled rollback in staging or production-like env.
  • Fix path: Add uptime checks for homepage/login/chat/API health endpoints. Set alerts to email/Slack/SMS. Document rollback steps before launch.

One config example that should exist

SPF=pass
DKIM=pass
DMARC=pass
NODE_ENV=production
NEXT_PUBLIC_API_URL=https://api.yourdomain.com
OPENAI_API_KEY=stored_server_side_only

That snippet is simple on purpose. If those values are not true in practice, your launch is still fragile.

Red Flags That Need a Senior Engineer

1. You have shipped from Lovable/Bolt/Cursor but never reviewed auth paths

This usually means private data can be reached through one missed route guard or one insecure API handler.

2. Your chatbot uses tools like email senders, CRM actions, file access, or database lookup

Once tools exist, prompt injection becomes a business risk because the bot can be tricked into doing real work.

3. You are using third-party auth but storing tokens badly

A small token handling mistake can expose user accounts across your entire customer base.

4. You cannot explain where secrets live

If you are unsure whether keys are in frontend code, build logs, server env vars, or local files, assume they are at risk.

5. You plan to spend on ads before monitoring is live

Paid traffic into an unmonitored app creates wasted ad spend plus support load when something breaks at 2 am.

DIY Fixes You Can Do Today

1. Turn on HTTPS redirects now

Force all traffic to HTTPS at the edge and verify there are no mixed-content warnings on login or checkout pages.

2. Rotate any key you ever pasted into chat tools

If you shared credentials with an AI assistant during development workflow mistakes happen fast. Rotate anything sensitive before launch.

3. Check your email DNS records

Make sure SPF includes only approved senders and that DKIM signing is active for your transactional provider.

4. Add one uptime monitor today

Monitor homepage plus login plus chat API health every 1 minute from at least 2 regions.

5. Test one bad-user scenario

Try empty messages, oversized prompts over 20 KB if relevant to your stack,, expired sessions,, invalid JSON,, and repeated clicks on send.

Where Cyprian Takes Over

  • DNS issues -> I fix root domain setup,, subdomains,, redirects,, canonical hostnames,, and Cloudflare routing.
  • SSL problems -> I force HTTPS,, clean up certificate errors,, remove mixed content,, and confirm secure cookies.
  • Email failures -> I configure SPF,, DKIM,, DMARC,, then test deliverability so password resets and onboarding actually arrive.
  • Secrets exposure -> I move environment variables out of unsafe places,, rotate leaked keys,, and verify nothing sensitive ships to the browser.
  • Deployment instability -> I deploy production safely,, validate rollback steps,, confirm health checks,, and reduce release risk.
  • Monitoring gaps -> I set uptime monitoring,, error alerts,, basic logging hygiene,, then hand over what to watch after launch.
  • Cloudflare hardening -> I enable caching where safe,, protect against DDoS spikes,, tighten firewall rules,, and keep authenticated paths uncached.
  • Handover gaps -> I leave you with a checklist so your team knows exactly what was changed and what must stay monitored.

My recommendation is simple: if you have more than two failures on the scorecard above,,, buy the service instead of patching this yourself under deadline pressure.

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 SSL/TLS documentation: https://developers.cloudflare.com/ssl/

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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.