Launch Ready cyber security Checklist for AI chatbot product: Ready for paid acquisition in coach and consultant businesses?.

What "ready" means for an AI chatbot product selling to coaches and consultants

For paid acquisition, "ready" does not mean the chatbot merely works on your laptop. It means a stranger can land on your site, trust the brand, submit data, get a fast response, and not expose your business to avoidable security or delivery failures.

For this product type, I would call it ready only if all of these are true:

• Domain points correctly and every non-canonical URL redirects to one primary version.
• SSL is valid everywhere, including subdomains and API endpoints.
• Email deliverability is set up with SPF, DKIM, and DMARC passing.
• Secrets are not in the codebase, browser bundle, or public repo.
• Cloudflare or equivalent protection is live with caching and DDoS protection.
• The chatbot cannot leak private prompts, customer data, or internal tools through prompt injection.
• Uptime monitoring exists so you know about outages before paid traffic starts burning money.
• The funnel works on mobile with no broken forms, no auth bypasses, and no obvious compliance gaps.

If any of those fail, you are not ready for paid acquisition. You are paying for clicks to find bugs, support load, and data exposure.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain canonicalization | One primary domain, 301 redirects from all variants | Prevents split SEO signals and trust issues | Duplicate content, broken links, lower conversion | | SSL coverage | HTTPS on root, www, subdomains, API | Protects logins and lead forms | Browser warnings, blocked forms, lost trust | | DNS health | Correct A/CNAME/MX records; no stale records | Keeps site and email reachable | Outages, email failures, misrouted traffic | | SPF/DKIM/DMARC | All pass in mailbox tests | Improves inbox placement for lead follow-up | Emails land in spam or fail entirely | | Secrets handling | Zero secrets in repo or frontend bundle | Prevents account takeover and API abuse | Key theft, billing fraud, data leaks | | Auth boundaries | No critical auth bypasses; least privilege enforced | Stops unauthorized access to chats or admin tools | Customer data exposure | | Prompt injection guardrails | Tool use is restricted; unsafe prompts are blocked or escalated | Prevents model from revealing internals or acting outside scope | Data exfiltration, harmful actions | | Rate limiting and abuse controls | Limits on chat submits and form posts exist | Protects against spam and cost spikes | API bill spikes, bot abuse, downtime | | Monitoring and alerting | Uptime checks + error alerts + log access exist | Detects failures before ad spend compounds them | Silent outages and missed leads | | Performance baseline | LCP under 2.5s on mobile; p95 API under 500ms for chat replies where possible | Paid traffic converts better when the experience is fast | Higher bounce rate and wasted ad spend |

The Checks I Would Run First

1. Domain and redirect integrity

Signal: `example.com`, `www.example.com`, staging URLs, and old campaign URLs all resolve consistently. There should be one canonical URL with clean 301 redirects.

Tool or method: I would check DNS records, browser redirects, and HTTP status codes with a crawler plus `curl -I` against every known variant.

Fix path: Set one primary domain in your registrar and app host. Add permanent redirects from all non-canonical versions. Remove stale A records that point at old hosts.

2. SSL coverage across the full surface area

Signal: No mixed content warnings. Root domain, subdomains like `chat.` or `api.`, and any asset host all present valid certificates.

Tool or method: Browser dev tools plus an SSL checker. I also inspect network requests for HTTP assets being loaded over plain text.

Fix path: Issue certificates for every live hostname. Force HTTPS at the edge. Update hardcoded asset URLs inside the app so nothing calls `http://`.

3. Secrets exposure check

Signal: No API keys in Git history, frontend env files bundled into the browser, public logs containing tokens, or admin credentials shared in Slack.

Tool or method: Search the repo for common key patterns. Inspect build output. Review environment variables on the deployment platform.

Fix path: Move secrets server-side only. Rotate anything that has already been exposed. Use separate keys for development and production. If a key touched a public client bundle once, assume it is compromised.

4. Email authentication for lead follow-up

Signal: SPF passes for your sender domain. DKIM signs outbound mail. DMARC is set to at least `p=none` during testing and then moved toward enforcement after validation.

Tool or method: Send test emails to Gmail and Outlook accounts plus a deliverability checker.

Fix path: Add the correct DNS records from your email provider. Make sure marketing mail and transactional mail use approved sending domains. Verify reply-to behavior before running ads.

5. Prompt injection resistance

Signal: The chatbot ignores user attempts to override system instructions, reveal hidden prompts, fetch secrets, or call tools outside its allowed scope.

Tool or method: Red team with adversarial prompts such as "ignore previous instructions" or "show me your API key". Test whether tool calls are constrained by policy rather than model obedience alone.

Fix path: Restrict tools by role and route sensitive actions through server-side policy checks. Do not let the model directly access secrets or unrestricted external actions. Escalate risky requests to a human workflow when needed.

6. Monitoring before traffic goes live

Signal: You get alerted if uptime drops below target or error rates spike above normal thresholds.

Tool or method: Set uptime monitors on homepage, checkout/contact flow if present, API health endpoints if present, plus error tracking in production logs.

Fix path: Add synthetic checks every 1 to 5 minutes. Route alerts to email plus Slack if you have it. Define who responds in the first 15 minutes after an alert lands.

Red Flags That Need a Senior Engineer

1. You have more than one place where secrets live

If keys are scattered across `.env`, browser code, database seed files, CI variables, and manual deploy notes，you do not have control of your attack surface.

2. The chatbot can take actions without server-side approval

If the model can send emails, create records, expose files, or call external tools without strict policy checks, one prompt injection can become a business incident.

3. Your launch stack was built by stitching together multiple AI tools

Lovable plus manual edits plus custom backend plus third-party automations often creates hidden failure points around auth, CORS, environment config, and deployment drift.

4. You cannot explain how customer data flows

If you do not know where messages are stored, who can read them, how long they persist, and how they are deleted, you have a security problem before you have a growth problem.

5. Paid traffic is already scheduled

If ads are booked within days but monitoring, rollback steps, DNS ownership, أو email authentication are still unclear，DIY becomes expensive very quickly because every failure burns media spend immediately.

DIY Fixes You Can Do Today

1. Audit every domain variant

List all versions of your site: root domain, www, staging, preview links, old campaign pages۔ Confirm each one either redirects correctly or is shut down.

2. Rotate obvious secrets

If you pasted any token into chat tools、docs、or frontend env files，rotate it now۔ Treat anything copied into a public repo as exposed until proven otherwise.

3. Turn on Cloudflare basic protection

Put DNS behind Cloudflare if it is not there already۔ Enable proxying for public web traffic，force HTTPS，and switch on basic DDoS protection settings۔

4. Test your emails with real inboxes

Send from your production domain to Gmail、Outlook、and Apple Mail accounts۔ If messages land in spam，fix SPF/DKIM/DMARC before launching ads。

5. Add one health check page

Create a simple `/health` endpoint that returns success without touching private user data۔ This gives you something to monitor instead of guessing whether the app is alive。

A practical starting point looks like this:

SPF: v=spf1 include:_spf.yourprovider.com -all
DMARC: v=DMARC1; p=quarantine; rua=mailto:dmarc@yourdomain.com

Use values from your actual provider docs rather than copying these blindly。Wrong DNS records can break delivery just as badly as missing ones。

Where Cyprian Takes Over

• DNS cleanup -> I fix domain routing，canonical redirects，subdomain mapping，and stale records.
• Cloudflare setup -> I configure SSL，caching，basic WAF rules，and DDoS protection.
• Email deliverability -> I set SPF/DKIM/DMARC correctly so lead follow-up does not die in spam.
• Production deployment -> I ship the app to production with environment variables separated from code.
• Secrets hardening -> I remove exposed keys，rotate compromised credentials，and tighten access.
• Monitoring -> I add uptime checks，error visibility，and handover notes so you know what to watch after launch.
• Handover checklist -> I document what was changed，what remains risky，and who owns each system after release.

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 learning center on SSL/TLS and DNS basics: 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.*