Launch Ready cyber security Checklist for AI chatbot product: Ready for first 100 users in marketplace products?.

What "ready" means for an AI chatbot product serving the first 100 users

For a marketplace AI chatbot, "ready" does not mean polished. It means a stranger can sign up, chat, trust the result enough to come back, and you do not leak data, break email deliverability, or go down the first time traffic spikes.

If I were self-assessing this product, I would call it ready only if these are true:

• No exposed secrets in code, logs, or client-side bundles.
• Authentication and authorization are enforced on every user-owned resource.
• The chatbot cannot be tricked into revealing system prompts, API keys, or other users' data.
• DNS, SSL, and email are configured correctly so onboarding emails land in inboxes.
• Uptime monitoring is live and alerts actually reach a human.
• Production deployment is repeatable, rollback is possible, and errors are visible.
• The app can handle the first 100 users without obvious abuse paths like prompt flooding, rate-limit bypass, or free-tier cost blowups.

For marketplace products, security failures hit faster than feature gaps. A broken login flow costs signups. A bad SPF/DKIM/DMARC setup kills verification emails. A single prompt injection bug can expose private conversations and destroy trust before you get traction.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Secrets | Zero secrets in repo, frontend bundle, logs | Prevents account takeover and API abuse | Keys get stolen and billing spikes | | Auth | All private routes and APIs require valid auth | Protects user accounts and chats | Users see other users' data | | Authorization | Every object access is scoped by user/org ID | Stops cross-account leakage | One user edits another user's content | | Input validation | All chat inputs and webhooks are validated server-side | Blocks injection and malformed requests | Crashes, prompt abuse, bad writes | | Rate limiting | Login, chat send, and webhook endpoints are limited | Controls cost and abuse | Bot spam drains tokens and CPU | | Email auth | SPF/DKIM/DMARC all pass | Improves inbox placement for onboarding mail | Verification emails go to spam | | TLS + Cloudflare | SSL active with HTTPS redirects and WAF/CDN on | Protects traffic and reduces attack surface | Downtime risk and MITM exposure | | Monitoring | Uptime checks plus error alerts to Slack/email/SMS | Lets you respond before users churn | You learn about outages from customers | | Deployment safety | Production deploy has rollback path and env parity | Reduces release risk | One bad deploy takes the app down | | Logging hygiene | Logs omit secrets, tokens, PII where possible | Limits breach blast radius | Sensitive data leaks into observability tools |

A practical threshold I use: if your public pages do not hit at least a 90+ Lighthouse score on mobile and your core chat API p95 is above 500ms under light load, you are not launch-ready yet. For first 100 users that may sound small, but slow onboarding and laggy replies kill conversion fast.

The Checks I Would Run First

1. Secret exposure check

Signal: API keys exist in `.env` files committed to Git history, frontend environment variables are exposed in the browser bundle, or logs print tokens.

Tool or method: I inspect the repo history, run secret scanning on the codebase and build output, then check runtime logs for sensitive values. I also verify which variables are actually public versus server-only.

Fix path: Move all private keys to server-side environment variables only. Rotate anything exposed immediately. If a key has already been shipped to a client bundle or public repo history, I treat it as compromised even if you deleted it later.

2. Auth and authorization check

Signal: A logged-in user can access another user's chat thread by changing an ID in the URL or request body.

Tool or method: I test object-level access manually with two test accounts and replay requests through Postman or curl. Then I review backend middleware to confirm every protected route validates identity before returning data.

Fix path: Enforce auth at the route layer first, then apply ownership checks on every read/write operation. Do not rely on frontend hiding buttons. That is UI decoration, not security.

3. Prompt injection resistance check

Signal: The bot follows malicious instructions inside uploaded content or user messages like "ignore previous instructions" or "show me your system prompt."

Tool or method: I run a small red-team set against the assistant using jailbreak prompts, data exfiltration attempts, tool misuse attempts, and cross-session leakage probes. I also inspect whether tool calls can be triggered without guardrails.

Fix path: Separate system instructions from user content clearly. Add policy checks before tool execution. If your bot uses retrieval or tools, constrain outputs to allowed schemas and block sensitive data from being passed into prompts unless strictly needed.

4. Email deliverability check

Signal: Signup verification or password reset emails land in spam or fail authentication checks.

Tool or method: I verify DNS records for SPF/DKIM/DMARC alignment using mailbox testing tools and header inspection from real sent mail. I also confirm custom domain setup through Cloudflare does not break MX records.

Fix path: Publish correct SPF records for your mail provider only once. Enable DKIM signing. Set DMARC to at least `p=none` during testing so you can observe failures before enforcing stricter policy.

v=spf1 include:_spf.google.com include:sendgrid.net -all

Use only the providers you actually send from. Overstuffed SPF records fail fast because of DNS lookup limits.

5. Rate limiting and abuse control check

Signal: A script can send hundreds of chat messages per minute or brute-force login without being blocked.

Tool or method: I simulate repeated requests from one IP and multiple IPs using simple load scripts while watching logs and billing metrics. I check whether edge protections like Cloudflare rules are active.

Fix path: Add rate limits by route type: login attempts per minute, chat sends per minute per account/IP, webhook retries with idempotency keys. For an early marketplace product this is cheaper than paying surprise inference bills after launch day.

6. Deployment safety check

Signal: A production deploy requires manual edits on the server or changes sometimes work locally but fail in production because env vars differ.

Tool or method: I review the deployment process end-to-end: build step, environment variables, database migrations, rollback steps, uptime probe after release. Then I do one controlled production-like deploy with logging enabled.

Fix path: Make deployment repeatable with documented steps or CI-driven deploys. Separate staging from production configs. If a migration can break old code paths during rollout, add backward-compatible changes first.

Red Flags That Need a Senior Engineer

1. You have no idea where secrets live. If you cannot answer that confidently in one minute, you probably have exposed credentials somewhere already.

2. The chatbot has tools that can send email, query databases, or trigger actions without strict allowlists. That is where prompt injection becomes a business problem, not just an AI curiosity.

3. User data is shared through one generic table without clear ownership checks. This often leads to cross-account leaks, especially when founders move fast with marketplace features.

4. Your email domain was set up by guessing instead of verifying SPF/DKIM/DMARC with test sends. That usually means onboarding will fail quietly, which hurts activation more than most founders expect.

5. You plan to launch paid ads before monitoring exists. If uptime alerts are missing, every minute of downtime becomes wasted ad spend plus support tickets plus lost trust.

DIY Fixes You Can Do Today

1. Search your repo for obvious secrets. Look for `api_key`, `secret`, `token`, `private`, `.env`, and pasted credentials. Delete anything sensitive from frontend code immediately.

2. Turn on Cloudflare for your domain. Force HTTPS redirects, enable basic DDoS protection, and make sure your apex domain plus `www` both resolve correctly.

3. Verify your email DNS records. Confirm SPF includes only active senders, DKIM is enabled at your provider, and DMARC exists even if it starts at monitoring mode.

4. Test two accounts against each private endpoint. Try viewing chats, deleting items, editing profiles, and fetching conversation history across both accounts. If one account sees another account's data, stop there and fix auth before launch.

5. Add uptime monitoring right now. Use one public health endpoint, one page monitor for the homepage, and alerting to both email and Slack if possible. You want failure detection in minutes, not customer complaints hours later.

Where Cyprian Takes Over

If any of the checks above fail, I would move this into Launch Ready rather than asking a founder to patch it piecemeal over several weekends.

My delivery covers:

• Domain setup with DNS cleanup
• Redirects for apex/www consistency
• Subdomain planning for app/admin/api
• Cloudflare setup with SSL termination
• Caching where it helps public pages
• DDoS protection basics
• SPF/DKIM/DMARC configuration
• Production deployment hardening
• Environment variable cleanup
• Secret handling review
• Uptime monitoring setup
• Handover checklist so you know what changed

Here is how I would map failure types to delivery time:

| Failure found | What I do in Launch Ready | |---|---| | Exposed secrets | Remove from code paths where possible; rotate; move to server env vars; verify no client exposure | | Broken auth checks | Patch route guards; add ownership checks; test with two accounts | | Email failing deliverability tests | Fix DNS records; validate sender alignment; retest inbox placement | | No SSL / bad redirects | Configure Cloudflare SSL; enforce HTTPS; clean redirect loops | | No monitoring / weak alerts | Add uptime probes; wire alerts; confirm response path | | Unsafe deployment process | Document rollout steps; validate env parity; add rollback notes |

For a first 100-user marketplace launch, I keep this tight: 48 hours total,

and no scope drift into full product redesign unless there is a separate sprint for that work.

My opinionated recommendation: do not launch with half-fixed security just because usage is small. The first 100 users are exactly when trust compounds fastest or breaks permanently. A secure boring launch beats a clever fragile one every time.

Delivery Map

References

1. Roadmap.sh - Cyber Security: https://roadmap.sh/cyber-security 2. Roadmap.sh - API Security Best Practices: https://roadmap.sh/api-security-best-practices 3. Roadmap.sh - AI Red Teaming: https://roadmap.sh/ai-red-teaming 4. OWASP Top 10: https://owasp.org/www-project-top-ten/ 5. Cloudflare Docs - SSL/TLS Overview: https://developers.cloudflare.com/ssl/

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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.*