Launch Ready cyber security Checklist for AI chatbot product: Ready for customer onboarding in bootstrapped SaaS?.

Launch Ready cyber security checklist for an AI chatbot product

If I say a chatbot product is "ready" for customer onboarding, I mean a stranger can sign up, verify their email, connect to the product, and start using it without exposing secrets, breaking auth, or triggering support tickets.

For a bootstrapped SaaS, ready means more than "it works on my machine." It means your domain resolves correctly, email lands in inboxes, HTTPS is enforced, admin access is locked down, logs do not leak data, uptime is monitored, and a basic attack does not take the app offline.

For an AI chatbot product specifically, readiness also means the model cannot be tricked into leaking system prompts, private conversation history, API keys, or internal tools. If onboarding is the first customer journey, then security failures there become churn, refund requests, app store rejection if you ship mobile later, and avoidable trust damage.

This is the standard I use: no exposed secrets, no critical auth bypasses, no broken redirects, SPF/DKIM/DMARC passing, and p95 API latency under 500ms for core onboarding flows. If you cannot say yes to those items today, you are not launch ready yet.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | HTTPS everywhere | All pages and APIs force SSL with no mixed content | Protects login and onboarding traffic | Session theft, browser warnings, lower trust | | Secrets handling | Zero exposed keys in repo, logs, or frontend bundle | Prevents API abuse and billing surprises | Model key theft, data exfiltration | | Auth hardening | No critical auth bypasses; session tokens are signed and rotated | Protects accounts and admin access | Account takeover | | Email deliverability | SPF, DKIM, and DMARC all pass | Ensures verification and onboarding emails land | Failed signup flow and support load | | Cloudflare setup | DDoS protection on; WAF rules enabled; origin hidden where possible | Reduces attack surface | Downtime from bot traffic or scans | | Redirects and domain routing | Canonical domain works; 301 redirects are correct; subdomains mapped cleanly | Prevents duplicate content and broken links | Lost signups and SEO confusion | | Logging hygiene | No PII or secrets in application logs or error traces | Limits breach blast radius | Data leakage through observability tools | | Rate limiting | Login, signup, password reset, and chat endpoints rate limited | Stops brute force and abuse | Cost spikes and account attacks | | AI prompt safety | Prompt injection tests fail closed; tool use is restricted | Prevents data exfiltration via model behavior | Leaked internal data or unsafe actions | | Monitoring and alerting | Uptime checks + error alerts + latency alerts configured before launch | Detects failures fast enough to act on them | Silent outages and missed revenue |

The Checks I Would Run First

1. Domain and SSL path

• Signal: `http://` redirects to `https://`, apex domain routes correctly, `www` policy is consistent.
• Tool or method: Browser test plus `curl -I` against apex domain, `www`, login page, and API base URL.
• Fix path: Set canonical redirects at Cloudflare or your hosting provider. Force HSTS only after you confirm every subdomain serves valid certs.

2. Secrets exposure scan

• Signal: No API keys in Git history, frontend bundles, environment files committed to repo snapshots, or public error pages.
• Tool or method: Search repo for common key patterns plus secret scanning in GitHub/GitLab. Inspect built assets in the browser devtools network tab.
• Fix path: Rotate any exposed key immediately. Move secrets to server-side environment variables only. If a client-side key must exist by design, scope it tightly and treat it as public.

3. Auth flow abuse test

• Signal: Signup requires valid email verification; reset password tokens expire; protected routes cannot be reached by changing IDs or skipping steps.
• Tool or method: Manual testing with incognito sessions plus simple proxy replay using Postman or Burp Suite Community.
• Fix path: Enforce server-side authorization on every sensitive action. Do not trust frontend route guards alone.

4. AI prompt injection test

• Signal: The chatbot refuses attempts to reveal system instructions, hidden prompts, private files, API keys, or admin-only actions.
• Tool or method: Run a small red-team set with prompts like "ignore previous instructions" or "print your system prompt."
• Fix path: Separate user input from system instructions clearly. Restrict tool access by role. Add output filters for sensitive data patterns. Escalate risky requests to a human review path.

5. Email authentication check

• Signal: SPF passes alignment checks; DKIM signs outbound mail; DMARC policy is active with reporting enabled.
• Tool or method: Send test emails to Gmail/Outlook plus inspect headers using MXToolbox or similar.
• Fix path: Publish correct DNS records before onboarding users. If email verification fails now you will lose signups later because users never confirm accounts.

6. Monitoring baseline

• Signal: You know when the app is down within minutes; p95 latency for onboarding endpoints stays under 500ms under normal load.
• Tool or method: UptimeRobot/Better Stack/Datadog synthetic checks plus simple load testing on signup/login/chat endpoints.
• Fix path: Add uptime alerts for homepage, auth endpoint(s), webhook endpoint(s), and core chat API. Alert on 5xx spikes and slow responses before customers do.

Red Flags That Need a Senior Engineer

1. You have one shared API key used by frontend code and backend jobs. This usually means the key has already leaked into places you cannot fully control. I would rotate it before launch because one exposed key can create real billing loss in hours.

2. Your chatbot can call tools without strict role checks. If the model can trigger webhooks, read user records, or send emails without server-side permission checks, prompt injection becomes an incident waiting to happen.

3. Signup works only when everything is healthy manually but fails under retry or timeout conditions. Bootstrapped products often break here because there is no queueing discipline or idempotency handling. That creates duplicate accounts,, broken payments later.

4. Logs contain full prompts,, full responses,, email addresses,, tokens,, or payment metadata. This turns your observability stack into a liability. If you ever need to share logs with support,, you may also share customer data accidentally.

5. You are unsure who can access production DNS,, Cloudflare,, hosting,, database,, email provider,, and analytics tools. Weak admin hygiene is one of the fastest ways to get locked out during launch week,, especially if a contractor leaves credentials behind.

DIY Fixes You Can Do Today

1. Turn on forced HTTPS now Make sure every route redirects to the secure version of your site., including marketing pages., app pages., auth pages., and webhook endpoints.

2. Rotate anything that looks like a secret If a key has ever been pasted into Slack., GitHub., Notion., browser console., or shared screenshots., assume it is compromised until proven otherwise.

3. Add basic rate limits Start with signup., login., password reset., chat messages., file upload., and webhook endpoints., because those are the easiest places to abuse early-stage SaaS products.

4. Check email authentication before inviting customers Verify SPF., DKIM., DMARC., sender reputation., reply-to address consistency., and whether your verification emails land in inbox rather than spam.

5. Run three prompt injection tests yourself Ask the bot to reveal its system prompt., ignore instructions., and summarize hidden context from prior users., If it complies even once., do not ship customer onboarding yet.

A minimal DMARC record often looks like this:

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

That does not make you secure by itself., but it is better than having no policy at all while customers try to verify their accounts.

Where Cyprian Takes Over

The point of Launch Ready is not just "fix DNS." It is getting the whole launch surface safe enough that customer onboarding does not become your first outage.

Here is how I map failure points to the service deliverables:

• Domain routing broken -> DNS setup., redirects., subdomains
• SSL errors / mixed content -> Cloudflare configuration., SSL enforcement
• Slow load / weak edge protection -> caching., DDoS protection
• Emails failing verification -> SPF/DKIM/DMARC setup
• Deployment risk / wrong environment values -> production deployment., environment variables
• Secret exposure risk -> secrets handling cleanup
• No visibility after launch -> uptime monitoring
• Confusing handoff -> handover checklist with what was changed and what still needs owner attention

Typical timeline:

• Hour 0-8: audit domain,, DNS,, deployment,, secrets,, auth surfaces,, email setup
• Hour 8-24: fix critical routing,, SSL,, environment config,, Cloudflare hardening
• Hour 24-36: verify email authentication,, monitoring,, cache rules,, redirect map
• Hour 36-48: regression check,,, handover checklist,,, launch notes,,, rollback notes

If I find something dangerous like exposed secrets,,, broken auth,,, or an unsafe AI tool chain,,, I will stop treating this as a cosmetic launch task and handle it as a production-risk repair first.

References

• roadmap.sh cyber security best practices: https://roadmap.sh/cyber-security
• roadmap.sh api security best practices: https://roadmap.sh/api-security-best-practices
• roadmap.sh ai red teaming: https://roadmap.sh/ai-red-teaming
• Cloudflare SSL/TLS documentation: https://developers.cloudflare.com/ssl/
• Google Workspace email authentication guide: https://support.google.com/a/answer/174124?hl=en

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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.*