Launch Ready cyber security Checklist for automation-heavy service business: Ready for app review in AI tool startups?.

What "ready" means for this product and outcome

For an automation-heavy service business built for AI tool startups, "ready" means the product can be reviewed, deployed, and trusted without exposing customer data, breaking onboarding, or creating avoidable support load.

If I were self-assessing this before app review, I would want five things to be true:

• The app is reachable on the correct domain with SSL, redirects, and subdomains working.
• No secrets are exposed in the repo, frontend bundle, logs, or deployment settings.
• Email delivery is trustworthy because SPF, DKIM, and DMARC all pass.
• Cloudflare and caching are configured so traffic spikes do not take the site down.
• Monitoring exists so you know about failures before users do.

For app review specifically, "ready" also means the reviewer can complete the core flow without hitting broken auth, dead links, rate limits, blocked scripts, or missing production data. If your p95 API response time is above 500ms on the critical path, or your onboarding depends on manual fixes in Slack, you are not ready.

Launch Ready is built for that gap.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain setup | Root domain and www resolve correctly | Reviewers and users must land on the right URL | Broken trust, duplicate sites, SEO confusion | | HTTPS | SSL valid on all public routes | App stores and browsers expect secure transport | Login failures, mixed content warnings | | Redirects | HTTP to HTTPS and non-canonical URLs redirect cleanly | Prevents duplicate entry points | Broken auth callbacks and SEO dilution | | Subdomains | App, API, admin, and marketing subdomains route correctly | Automation-heavy products often split services | Support tickets and failed webhook calls | | Email auth | SPF, DKIM, DMARC all pass | Transactional email must not hit spam | Missed invites, password reset failures | | Secrets handling | Zero exposed secrets in repo or client code | Prevents account takeover and billing abuse | Data breach and emergency rotation work | | Deployment safety | Production deploy uses correct env vars and rollback path | Review should not depend on manual edits | Downtime during launch or review | | Caching/CDN | Static assets cached at edge with sane TTLs | Reduces latency and origin load | Slow pages and wasted ad spend | | DDoS protection | Cloudflare rules enabled for public surface area | AI tools get hit by bots fast | Outages from traffic spikes or abuse | | Monitoring | Uptime alerts plus error tracking active | You need early warning after launch | Silent failures until users complain |

The Checks I Would Run First

1. DNS and canonical routing

• Signal: `example.com`, `www.example.com`, and any required subdomains resolve to the intended targets with no loop or mismatch.
• Tool or method: `dig`, browser checks, Cloudflare DNS panel.
• Fix path: I would standardize one canonical domain, add 301 redirects from every alternate host, then verify callback URLs for auth providers and webhooks.

2. TLS and mixed content

• Signal: Every public page loads over HTTPS with no certificate errors or mixed content warnings.
• Tool or method: Browser dev tools, SSL Labs test.
• Fix path: I would force HTTPS at the edge in Cloudflare or the host platform and replace any hardcoded `http://` assets or API endpoints.

3. Secrets exposure audit

• Signal: No API keys, private tokens, service account JSON files, or webhook secrets appear in git history, frontend bundles, logs, screenshots, or CI output.
• Tool or method: GitHub secret scanning preview if available, `git grep`, bundle inspection.
• Fix path: I would rotate anything exposed immediately, move secrets to environment variables or a vault-like store, then remove them from client-side code entirely.

4. Email deliverability

• Signal: SPF passes one sender only where possible; DKIM signs outbound mail; DMARC is set to at least `p=none` during validation and then tightened when stable.
• Tool or method: MXToolbox checks plus a test send to Gmail and Outlook.
• Fix path: I would align the From domain with your sending provider and fix any DNS record conflicts before you launch invites or password resets.

5. Deployment integrity

• Signal: Production deploy uses a known build artifact with correct env vars loaded only in server-side contexts where needed.
• Tool or method: CI logs, deployment dashboard, smoke test after deploy.
• Fix path: I would separate preview from production environments so a bad test flag does not leak into live users.

6. Monitoring coverage

• Signal: Uptime checks fire within 1 to 2 minutes of downtime; error tracking captures uncaught exceptions; logs include request IDs but not secrets.
• Tool or method: UptimeRobot or Better Stack plus Sentry-like error monitoring.
• Fix path: I would add alerting for login failure spikes, webhook failures, 5xx bursts at p95 under 500ms target paths becoming slower than normal baseline.

A simple deployment guardrail I like looks like this:

NODE_ENV=production
NEXT_PUBLIC_APP_URL=https://app.example.com
API_BASE_URL=https://api.example.com

If those values are wrong in production even once under review traffic pressure drops conversion fast because users hit broken redirects instead of completing signup.

Red Flags That Need a Senior Engineer

1. You have secrets in client-side code

• If a browser can read it, assume it is already public. That is not a cleanup task for later; it is a rotation task now.

2. Auth works locally but fails in production

• This usually means callback URLs are wrong across domains or cookies are misconfigured across subdomains. Reviewers will hit this immediately.

3. You depend on manual fixes after every deploy

• If someone has to edit DNS records by hand or toggle flags in production chat messages control is already too loose for launch.

4. Your automation can trigger external side effects without limits

• AI tool startups often connect LLMs to email providers CRM tools billing systems and webhooks. Without rate limits retries idempotency keys and permission scoping you can create duplicate sends double charges or data leakage.

5. You cannot explain where user data goes

• If you do not know which services store PII which logs retain payloads or how long backups keep data then app review risk becomes cyber security risk very quickly.

DIY Fixes You Can Do Today

1. Confirm your canonical domain

• Pick one primary host such as `app.example.com` or `example.com`.
• Redirect everything else there with a permanent 301 redirect.

2. Check email DNS records

• Use MXToolbox to verify SPF DKIM DMARC status.
• If DMARC is missing start with `p=none` so you can observe failures before enforcing policy.

3. Search for exposed secrets

• Scan your repo for strings like `sk-`, `api_key`, `secret`, `private_key`, and webhook URLs.
• Rotate anything suspicious even if you are not fully sure it was exposed.

4. Turn on uptime monitoring now

• Add at least one external ping check for homepage login checkout and webhook endpoint health.
• Set alerts to email plus SMS if possible so outages do not sit unnoticed overnight.

5. Smoke test your core flow in incognito mode

• Create an account sign in trigger one automation send one email complete one webhook cycle.
• Watch for CORS errors mixed content broken redirects expired tokens and missing environment variables.

Where Cyprian Takes Over

Here is how I map failures to deliverables:

• Domain routing problems -> DNS setup redirects subdomains canonical host selection
• SSL issues -> Cloudflare configuration certificate validation HTTPS enforcement
• Slow static delivery -> caching headers CDN tuning asset optimization
• Bot abuse risk -> DDoS protection basic firewall rules rate limiting
• Email reputation problems -> SPF DKIM DMARC setup sender alignment
• Broken production deploys -> deployment verification environment variable cleanup smoke testing
• Secret leaks -> secret audit rotation guidance removal from client-facing code
• No visibility after launch -> uptime monitoring alerting handover checklist

My delivery sequence is simple:

1. Hour 0 to 8: audit domain email deployment surface secrets exposure. 2. Hour 8 to 24: fix DNS SSL redirects Cloudflare rules email authentication. 3. Hour 24 to 36: verify production deploy caching monitoring environment variables. 4. Hour 36 to 48: run smoke tests document handover checklist confirm reviewer-ready state.

The goal is not cosmetic polish. The goal is fewer launch delays fewer broken onboarding flows fewer support tickets less risk of exposed customer data.

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 Roadmap: https://roadmap.sh/cyber-security
• Cloudflare Security Docs: https://developers.cloudflare.com/security/
• OWASP ASVS: https://owasp.org/www-project-application-security-verification-standard/

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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.*