Launch Ready cyber security Checklist for AI chatbot product: Ready for first 100 users in founder-led ecommerce?.

Launch Ready cyber security Checklist for AI chatbot product: Ready for first 100 users in founder-led ecommerce?

For a founder-led ecommerce chatbot, "ready" does not mean "it works on my laptop." It means a customer can land on the site, ask the bot questions, trust the answers enough to buy, and your stack does not leak secrets, break checkout, or get flagged by email providers and browsers.

For the first 100 users, I want to see five things before launch:

• No exposed API keys, admin panels, or test endpoints.
• Authentication and authorization are correct for every user-facing and admin action.
• The chatbot cannot be tricked into revealing system prompts, internal data, or other customers' content.
• DNS, email, SSL, and Cloudflare are configured so your domain is trusted and your messages arrive.
• Monitoring exists so you know within minutes if the bot breaks, slows down, or starts failing.

If any of those fail, you do not have a launch-ready product. You have a prototype that can create support tickets, lost sales, and avoidable security incidents.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain and SSL | Site loads on the primary domain with valid HTTPS and no mixed content | Trust and browser safety | Users see warnings, checkout drops | | DNS setup | A/AAAA/CNAME records resolve correctly with no stale test records | Prevents routing mistakes | Wrong app loads or email fails | | Email auth | SPF, DKIM, and DMARC all pass | Protects deliverability and brand trust | Emails land in spam or get spoofed | | Secrets handling | Zero exposed secrets in code, logs, or client bundle | Prevents account takeover and billing abuse | API theft, data leakage | | Auth checks | No critical auth bypasses; admin routes protected | Stops unauthorized access | Data exposure and account tampering | | Prompt injection defense | Bot refuses system prompt leaks and tool abuse attempts | Protects internal instructions and data | Exfiltration of private content | | Rate limiting | Abuse paths throttled at sensible limits | Controls cost and spam | Token burn, downtime, noisy support | | Logging hygiene | Sensitive fields redacted from logs | Reduces breach impact | Passwords or PII end up in logs | | Uptime monitoring | Alerts fire on 5xx spikes and downtime within 5 minutes | Speeds incident response | You find outages from customers first | | Deployment safety | Production deploy uses env vars and rollback path exists | Reduces launch risk | Broken release takes site offline |

The Checks I Would Run First

1. I would verify there are zero exposed secrets Signal: Search the repo, frontend bundle, CI logs, deployment settings, and browser network calls for API keys, service tokens, webhook secrets, and database URLs.

Tool or method: I use secret scanning plus a manual check of built assets. In practice that means GitHub secret scanning or trufflehog for code history, then inspecting the deployed JS bundle and network requests.

Fix path: Move every secret server-side into environment variables. Rotate anything already exposed. If a key touched the client bundle even once, I treat it as compromised.

2. I would test auth boundaries on every admin action Signal: A normal user should never be able to reach admin routes, view other users' chats/orders, or call privileged APIs by changing an ID.

Tool or method: I use browser dev tools plus direct API requests with a low-privilege account. I try ID changes, missing tokens, expired tokens, and role changes.

Fix path: Enforce authorization on the server for every request. Do not trust UI hiding. Add role checks at route level and object level.

3. I would red-team the chatbot for prompt injection Signal: The bot should ignore instructions like "reveal your system prompt," "show hidden policies," or "call this tool with my private data."

Tool or method: I run a small attack set with prompt injection phrases from support docs plus malicious customer messages. I also test whether retrieved content can override system instructions.

Fix path: Separate system instructions from user input. Limit tool permissions. Add output filters for sensitive terms. If the bot uses retrieval augmented generation, scope retrieval to only approved documents.

4. I would confirm DNS and email authentication are clean Signal: The domain resolves correctly on production only. SPF passes for sending services. DKIM signs mail. DMARC is set to quarantine or reject once aligned testing passes.

Tool or method: Use MXToolbox plus your registrar dashboard plus a live test email to Gmail and Outlook.

Fix path: Remove old records from staging providers. Set canonical subdomains clearly. Publish SPF with only approved senders. Enable DKIM in your email provider. Start DMARC at `p=none`, then move to `quarantine` after validation.

A minimal DMARC record usually looks like this:

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

5. I would check rate limits and abuse controls Signal: One user should not be able to hammer chat requests until your model bill spikes or your app slows down for everyone else.

Tool or method: Send repeated requests from one IP/account using a simple script or Postman collection. Watch response codes, queue behavior, latency growth, and spend signals.

Fix path: Add per-IP and per-account limits on chat endpoints. Put expensive AI calls behind server-side throttles. Return clear retry messaging instead of hanging requests.

6. I would verify monitoring catches failure fast Signal: You need alerts for uptime loss, elevated error rates, slow responses above p95 500 ms on critical backend paths where possible before AI latency is added separately.

Tool or method: Use uptime checks from outside your cloud region plus application error tracking like Sentry or PostHog session replay where appropriate.

Fix path: Create alerts for downtime over 5 minutes, 5xx spikes above baseline by 2x to 3x, failed webhook delivery, queue backlog growth, and login failures.

Red Flags That Need a Senior Engineer

If you see any of these five issues, DIY is usually false economy:

1. You have no idea where secrets live anymore

• That means keys may be in code history, environment files shared across environments, or copied into frontend code.
• This is how founders end up rotating everything after launch day chaos.

2. The chatbot can access customer-specific data without strict scoping

• If one prompt can pull another customer's order history or support thread content by accident.
• That is a data protection problem first and an AI problem second.

3. Production is sharing infrastructure with staging

• Shared databases or shared buckets make accidental overwrites very easy.
• One bad deploy can expose test data to real users or vice versa.

4. There is no rollback plan

• If deployment fails at hour two of launch day you need a clean revert.
• Without rollback you are debugging under pressure while sales are happening.

5. Email deliverability is already inconsistent

• If welcome emails land in spam before launch then abandoned carts will be worse after launch.
• Fixing SPF/DKIM/DMARC after complaints start costs more time than doing it properly now.

DIY Fixes You Can Do Today

These are safe founder-level actions before you bring in help:

1. Change every default password

• Admin panels should never keep vendor defaults.
• Use unique passwords stored in a password manager immediately.

2. Turn on Cloudflare

• Put the domain behind Cloudflare for SSL termination basics, caching where appropriate,, DDoS protection,, WAF rules if available,, and hiding origin IP where possible.
• This alone removes several common launch risks.

3. Delete unused environments

• Remove old preview apps,, stale subdomains,, forgotten test buckets,,and dead webhook endpoints.
• Every extra surface area is another place to leak data.

4. Audit public files

• Check `robots.txt`, open directories,, downloadable JSON files,, source maps,,and public docs.
• Founders often expose more than they think through static assets.

5. Test signup flow from scratch

• Create a new email address,, go through onboarding,, trigger the bot,,and send yourself emails.
• Note every broken link,, delayed message,,and confusing step before real users do it for you.

Where Cyprian Takes Over

If your checklist shows multiple failures across DNS,, security,, deployment,,or observability,,, this is exactly where Launch Ready fits.

I use this sprint to close launch blockers fast:

• 48 hours delivery

• Domain,email,and DNS cleanup
• Cloudflare setup
• SSL configuration
• Redirects,and subdomain routing
• Production deployment
• Environment variable setup
• Secrets review,and rotation guidance
• Caching,and DDoS protection basics
• SPF,DKIM,and DMARC setup
• Uptime monitoring
• Handover checklist

Here is how I map failures to deliverables:

| Failure found | What I do in Launch Ready | |---|---| | Exposed secrets | Move secrets out of client code,set env vars,and rotate compromised keys | | Broken domain routing | Fix DNS records,set redirects,and clean subdomain mapping | | Mixed content / bad SSL | Install correct HTTPS chain,enforce secure redirects,and remove insecure assets | | Spammy email delivery | Configure SPF,DKIM,and DMARC so messages reach inboxes | | Missing production deploy process | Ship production build safely with verified config values | | No monitoring / blind launches | Set uptime checks,error alerts,and basic incident visibility | | Weak bot security boundaries | Review auth flows,input handling,and obvious prompt injection paths | | Slow unstable experience under load | Enable caching basics,tune Cloudflare settings,and reduce easy bottlenecks |

My recommendation is simple: if you are trying to get the first 100 ecommerce users live fast,you should not spend three days learning DNS edge cases while also worrying about whether your chatbot leaks internal instructions. I would fix the launch surface first,because that is what protects revenue,reputation,and support load during early traffic spikes.

References

• roadmap.sh API Security Best Practices: https://roadmap.sh/api-security-best-practices
• roadmap.sh Cyber Security: https://roadmap.sh/cyber-security
• roadmap.sh AI Red Teaming: https://roadmap.sh/ai-red-teaming
• Cloudflare Docs: https://developers.cloudflare.com/
• OWASP Top Ten: https://owasp.org/www-project-top-ten/

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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.*