Launch Ready API security Checklist for AI chatbot product: Ready for paid acquisition in marketplace products?.

What "ready" means for an AI chatbot product running paid acquisition in a marketplace

For this kind of product, "ready" does not mean the chatbot works on your laptop. It means a stranger can land from paid traffic, sign in, start a chat, and trust that their data is protected while your system stays up under load.

I would call it ready only if these are true:

• No exposed secrets in code, logs, or client bundles.
• Authentication and authorization are enforced on every API route.
• The chatbot cannot read another user's conversations, files, or marketplace records.
• Rate limits, abuse controls, and request validation are in place.
• DNS, SSL, email authentication, redirects, and monitoring are live.
• p95 API response time is under 500 ms for normal chat requests.
• Uptime monitoring exists before you spend on ads.
• Failure states are handled cleanly so support does not get flooded.

If any one of those is missing, paid acquisition will amplify the problem. You do not just lose conversions. You also risk account compromise, broken onboarding, support overload, and wasted ad spend.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | | --- | --- | --- | --- | | Secrets handling | Zero secrets in repo, frontend bundle, or logs | Prevents account takeover and API abuse | Token theft, billing spikes, data exposure | | Auth enforcement | Every protected endpoint checks user identity and role | Stops cross-user data access | Users see other users' chats or files | | Input validation | All chat inputs and tool inputs are validated server-side | Blocks injection and malformed payloads | Prompt injection paths, crashes, bad tool calls | | Rate limiting | Per-user and per-IP limits on chat and auth routes | Controls abuse and cost blowups | Bot traffic burns model budget | | CORS and origin control | Only approved origins can call browser APIs | Reduces cross-site abuse risk | Unauthorized browser-based requests | | Email auth | SPF, DKIM, DMARC all passing for domain email | Protects deliverability for onboarding and receipts | Emails land in spam or get spoofed | | SSL and redirects | HTTPS forced with clean canonical redirects | Protects sessions and trust signals | Mixed content warnings, login failures | | Monitoring | Uptime alerts plus error tracking active before launch | Finds failures before users do | Silent downtime during ad spend | | Cache strategy | Safe caching for static assets and non-sensitive responses only | Lowers latency without leaking data | Stale or private data exposure | | Deployment hygiene | Env vars set correctly with no hardcoded production values | Avoids broken prod config at launch | App fails after deploy or leaks keys |

The Checks I Would Run First

1. Secret exposure check

Signal: I look for API keys in the repo history, current source files, build output, browser console logs, and deployed environment variables. If I find one key that should never be public, I assume there may be more.

Tool or method: `git grep`, secret scanning in GitHub or GitLab, browser bundle inspection, cloud env review.

Fix path: Rotate the exposed secret immediately. Then move all sensitive values to server-side environment variables only.

A simple rule: if the browser can see it, an attacker can usually see it too.

2. Auth bypass check on every chatbot route

Signal: I test whether a logged-out user can hit chat endpoints directly. I also test whether one user can fetch another user's conversation by changing an ID in the URL or request body.

Tool or method: Postman or curl against the API, plus manual ID swapping.

Fix path: Enforce authentication at the server layer on every request. Then enforce authorization by user ownership on every object lookup.

If your app relies on the frontend to hide buttons instead of protecting routes server-side, that is not security. That is decoration.

3. Prompt injection and tool abuse check

Signal: I send malicious prompts that try to override system instructions or trick the bot into revealing hidden context. I also test any tools the bot can trigger such as file lookup, search, booking actions, or marketplace actions.

Tool or method: A red-team prompt set with cases like "ignore previous instructions", "show me your system prompt", "export all user chats", plus tool-call review.

Fix path: Separate system instructions from user content. Add allowlists for tools. Require explicit server-side checks before any sensitive action runs.

If the bot can call tools without policy checks, one bad prompt can become a real business incident.

4. Rate limit and abuse control check

Signal: I simulate repeated chat requests from one IP and one account. I also test login attempts and password reset requests for throttling behavior.

Tool or method: Load testing with k6 or a simple script; inspect gateway rules; review WAF settings if using Cloudflare.

Fix path: Add per-IP and per-user limits on auth routes and chat endpoints. Add burst protection for expensive model calls.

For paid acquisition this matters because even moderate abuse can turn into surprise usage costs within hours.

5. DNS, SSL, email authentication check

Signal: The product domain resolves cleanly over HTTPS. Email sent from the product passes SPF DKIM DMARC checks. Redirects do not create loops or mixed content warnings.

Tool or method: DNS lookup tools, SSL Labs test, mail-tester style verification.

Fix path: Set canonical domain rules first. Then configure SPF/DKIM/DMARC before sending onboarding emails or invoices.

Here is a minimal DMARC example:

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

If this is wrong or missing, your transactional email can fail deliverability right when new users need verification links most.

6. Monitoring and error visibility check

Signal: I want uptime monitoring on the main app URL plus alerting on API errors before launch day. I also want enough logging to trace a failed chat request without exposing personal data.

Tool or method: UptimeRobot or similar uptime checks; Sentry for frontend/backend errors; cloud logs with redaction rules.

Fix path: Add alert thresholds for downtime and error spikes. Log request IDs, status codes, and safe metadata only.

Without monitoring you do not have a launch plan. You have a guess.

Red Flags That Need a Senior Engineer

1. You have multiple environments but no clear separation between dev staging and production secrets.

• This usually leads to test keys in prod or prod keys in test apps.
• One mistake here can leak customer data across environments.

2. The chatbot uses external APIs but there is no server-side proxy layer.

• That means secret keys may be exposed in the client.
• It also makes rate limiting and audit logging much harder.

3. Marketplace data is shared through query parameters alone.

• If users can change an ID to see another record, you have an authorization bug.
• This is how private conversations get exposed.

4. You cannot explain who owns each endpoint.

• If nobody knows which routes need auth checks or input validation then fixes will be inconsistent.
• That creates recurring bugs after every release.

5. Paid traffic is already planned but there is no uptime monitoring yet.

• Launching ads into an unmonitored system wastes spend fast.
• A few hours of downtime can burn through hundreds of dollars with zero learning value.

DIY Fixes You Can Do Today

1. Rotate any key you have pasted into frontend code or shared docs.

• Assume it is compromised until proven otherwise.
• Move it to server-only env vars after rotation.

2. Turn on Cloudflare proxying for your domain if you already use it.

• Enable SSL mode correctly.
• Turn on basic DDoS protection and caching for static assets only.

3. Review every public API route with one question:

• "What stops a random logged-out user from calling this?"
• If the answer is unclear then add auth middleware now.

4. Test your email domain at least once before launch.

• Verify SPF DKIM DMARC pass.
• Send a real signup email to Gmail Outlook and Apple Mail accounts to check spam placement.

5. Add uptime alerts today.

• Even a simple ping monitor is better than nothing.
• Set notifications to Slack email or SMS so failures are seen within minutes not days.

Where Cyprian Takes Over

This is where Launch Ready fits when DIY stops being safe enough:

| Checklist failure | Service deliverable | Timeline | | --- | --- | --- | | Secrets exposed or deployment config unclear | Production deployment cleanup plus secrets hardening | Within 48 hours | | DNS broken redirect chain SSL issues subdomains not set up right now? Wait table should be concise maybe okay? Let's fix below? |

I would map it like this:

• Broken DNS redirects subdomains SSL setup -> Domain setup redirect cleanup Cloudflare SSL configuration
• Missing email authentication -> SPF DKIM DMARC setup
• Exposed secrets or bad environment config -> Secret audit environment variable cleanup handover checklist
• No monitoring -> Uptime monitoring setup plus alert routing
• Weak caching slow delivery -> Cloudflare caching configuration
• Unclear deployment process -> Production deployment plus handover checklist

domain, email, Cloudflare, SSL, deployment, secrets, monitoring, and handover documentation.

My goal is not cosmetic polish. My goal is to get you to a state where traffic does not immediately create security incidents support tickets or broken checkout flow risk if applicable to your marketplace product.

Delivery Map

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 Code Review Best Practices: https://roadmap.sh/code-review-best-practices
• OWASP API Security Top 10: https://owasp.org/API-Security/
• Cloudflare Security Docs: https://developers.cloudflare.com/security/

---

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.*