Launch Ready cyber security Checklist for AI chatbot product: Ready for app review in B2B service businesses?.

Launch Ready cyber security Checklist for AI chatbot product: Ready for app review in B2B service businesses?

"Ready" for an AI chatbot product in a B2B service business means more than "it works on my machine." It means the app review team can test it without hitting broken auth, exposed secrets, unsafe prompts, or flaky infrastructure, and your first customers will not inherit avoidable security risk.

For this outcome, I would define ready as:

• No exposed API keys, tokens, or private URLs in the client.
• Auth and authorization are enforced on every sensitive action.
• The chatbot cannot leak customer data through prompt injection or bad tool access.
• DNS, SSL, redirects, and email authentication are correct.
• Monitoring is live before launch, not after the first outage.
• Deployment is repeatable, rollback is possible, and support load stays manageable.

If you are aiming for app review in a B2B service business, the bar is simple: the reviewer should be able to sign up, verify access, use the chatbot safely, and see stable behavior under normal traffic. I would treat anything that risks customer data exposure, broken onboarding, or downtime as a launch blocker.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Secrets hidden | Zero exposed secrets in repo, client bundle, logs | Prevents account takeover and bill shock | Keys get abused, data leaks, services get shut down | | Auth enforced | Every private route and API requires valid auth | Stops unauthorized access | Reviewers can see other users' data | | Role checks | Admin-only actions blocked for non-admins | Protects settings and billing | Users change org config or exports | | Prompt safety | Chatbot resists prompt injection and tool abuse | Stops data exfiltration via model behavior | Chat leaks private content or runs unsafe actions | | Input validation | All inputs validated server-side | Reduces injection and malformed requests | Crashes, bad records, exploit paths | | Rate limits on | Abuse controls on login, chat, and APIs | Protects uptime and cost | Bot spam drains credits and slows app | | CORS locked down | Only approved origins allowed | Prevents browser-based abuse | Third-party sites call your APIs | | Email auth passing | SPF, DKIM, DMARC all pass | Improves deliverability and trust | Review emails land in spam or fail | | SSL and redirects correct | HTTPS only with clean canonical redirects | Avoids mixed content and trust issues | Broken login links or insecure pages | | Monitoring live | Uptime alerts and error tracking active | Detects failures fast after release | Outages go unnoticed until customers complain |

A practical threshold I use: zero exposed secrets, no critical auth bypasses, SPF/DKIM/DMARC passing, and p95 API latency under 500ms for core chatbot requests. If you miss any of those by a wide margin, I would not call the product app-review ready.

The Checks I Would Run First

1. Secrets audit

• Signal: API keys appear in frontend code, build output, environment files committed to Git, or browser network traces.
• Tool or method: Search repo for `sk_`, `pk_`, `Bearer`, webhook URLs, `.env`, and inspect the production bundle. I also check deployment variables in Vercel, Netlify, Cloudflare Pages, Render, or your host.
• Fix path: Move all secrets server-side only. Rotate any key that may have been exposed. Add `.env.example`, secret scanning in CI, and block client-side access to private credentials.

2. Auth boundary check

• Signal: A user can open another org's chat history by changing an ID in the URL or request body.
• Tool or method: Manual test with two accounts plus API requests using Postman or curl. I try direct object reference attacks against messages, conversations, files, billing pages, and admin endpoints.
• Fix path: Enforce authorization on every request using org membership checks. Do not trust client-side IDs. Add tests for "cannot read/write outside tenant."

3. Prompt injection and tool-use review

• Signal: The bot follows malicious instructions like "ignore previous rules" or reveals system prompts / internal docs / private customer data.
• Tool or method: Red-team prompts against your top 20 user flows. Test file uploads, knowledge base retrievals, function calls, CRM actions, calendar actions, and email sending.
• Fix path: Separate system instructions from user content. Restrict tool permissions by role. Add allowlists for tool inputs. Block direct disclosure of hidden prompts and sensitive fields.

4. DNS / SSL / redirect integrity

• Signal: Mixed content warnings, redirect loops between www/non-www versions, broken subdomains, expired certs.
• Tool or method: Browser dev tools plus `curl -I https://domain.com` across apex domain and subdomains. Check Cloudflare dashboard for proxy status and certificate coverage.
• Fix path: Set one canonical domain path. Force HTTPS everywhere. Configure 301 redirects once only. Ensure all subdomains used by app review resolve correctly.

5. Email authentication check

• Signal: Verification emails or notifications fail delivery or land in spam due to missing DNS records.
• Tool or method: Use MXToolbox or Google Admin Toolbox to verify SPF/DKIM/DMARC alignment. Send test mail to Gmail and Outlook.
• Fix path: Publish correct SPF include records only once per provider chain. Enable DKIM signing at your email provider. Start DMARC at `p=none` if needed for monitoring before tightening later.

6. Monitoring and incident visibility

• Signal: You do not know when login fails,, when chat errors spike,, or when uptime drops below target.
• Tool or method: Check Sentry/Logtail/Datadog/New Relic plus uptime monitors like UptimeRobot or Better Stack. Trigger a test failure to confirm alerts reach email/Slack.
• Fix path: Add error tracking on frontend + backend. Monitor homepage uptime,, auth endpoint health,, queue depth,, p95 latency,, and 5xx rate. Set alert thresholds before launch.

Here is the kind of redirect setup I expect to see when the domain is clean:

server {
  listen 80;
  server_name example.com www.example.com;
  return 301 https://example.com$request_uri;
}

That tiny rule prevents duplicate domains from splitting SEO signals,, confusing users,, and creating weird callback URL bugs during app review.

Red Flags That Need a Senior Engineer

1. You have a working demo but no clear separation between public frontend code and private backend secrets. 2. The chatbot can trigger actions like sending emails,, updating CRM records,, or reading files without strong permission checks. 3. App review keeps failing because login,, redirects,, cookies,, or email verification behave differently across environments. 4. You have no logs,, no alerting,, no rollback plan,, and nobody can answer what happens if deployment breaks at 9 am Monday. 5. Your team already spent days trying to fix DNS,, SSL,, Cloudflare,, env vars,, or CORS without knowing which layer is actually failing.

In these cases DIY usually costs more than buying help because the failure mode is not cosmetic., It becomes launch delay., support load., ad waste., failed app review., or customer trust damage.

DIY Fixes You Can Do Today

1. Rotate every key you can find

• If a secret has ever been committed,. assume it is compromised..
• Replace it,. then delete old copies from repo history where possible..

2. Turn on basic rate limiting

• Apply limits to login,. password reset,. chat submit,. file upload,. webhook endpoints..
• Even a simple cap like 10 requests per minute per IP can cut abuse fast..

3. Lock down CORS

• Allow only your real production domains..
• Remove wildcard origins unless you truly need them..

4. Verify SPF,. DKIM,. DMARC

• Use your email provider's setup guide..
• Confirm all three pass with a test send before app review..

5. Test your chatbot against bad prompts

• Ask it to reveal hidden instructions,. export private data,. bypass rules,. call unauthorized tools..
• If it complies even once,. treat that as a real security defect..

If you can do one more thing today,. run a full signup-to-chat flow in an incognito browser with console open., You will often catch mixed content,. failed API calls,. bad cookies,. broken redirects,. and missing environment variables in under 15 minutes..

Where Cyprian Takes Over

When these checks fail,.

What I cover:

• DNS setup for apex domain,. www,. subdomains,. redirects
• Cloudflare configuration including SSL,. caching,. DDoS protection
• Email authentication with SPF/DKIM/DMARC
• Production deployment with correct environment variables
• Secret handling so nothing sensitive ships to the browser
• Uptime monitoring so outages are visible immediately
• Handover checklist so your team knows what was changed

How I would sequence the work: 1. Audit current domain,,, hosting,,, env vars,,, secrets,,, auth,,, monitoring. 2.. Fix critical blockers first:, exposed secrets,,, broken SSL,,, redirect loops,,, bad DNS,,, missing email auth. 3.. Deploy production-safe settings with rollback notes.. 4.. Verify the full app-review path end to end.. 5.. Hand over a clear checklist so you know what is live,.

If your product already works but feels fragile,,, this sprint is usually enough to move from "almost there" to "safe enough to submit." If there are deeper app logic problems like broken authorization,,, unsafe model tooling,,, or multi-tenant leakage,,, I would flag those immediately because they need code-level remediation beyond launch plumbing..

Delivery Map

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
• OWASP Cheat Sheet Series: https://cheatsheetseries.owasp.org/
• Cloudflare SSL/TLS documentation: https://developers.cloudflare.com/ssl/

---

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.*