Launch Ready cyber security Checklist for automation-heavy service business: Ready for first 100 users in bootstrapped SaaS?.

What "ready" means for a bootstrapped SaaS trying to get the first 100 users

For an automation-heavy service business, "ready" does not mean polished. It means a stranger can sign up, receive emails, trust the domain, use the product without breakage, and not expose customer data or admin access along the way.

For the first 100 users, I would define ready as:

• The domain resolves correctly with clean redirects.
• Email lands in inboxes, not spam, with SPF, DKIM, and DMARC passing.
• Cloudflare is protecting the app, SSL is valid everywhere, and basic caching is on.
• Production deployment is live with no exposed secrets in code, logs, or client-side bundles.
• Monitoring alerts you within 5 minutes if the site goes down or email breaks.
• Core user flows work on mobile and desktop with no critical auth bypasses.
• p95 API latency stays under 500ms for the main paths.
• There are no obvious ways for a user to access another user's data, trigger unsafe automation, or abuse your tools.

If any of those fail, you are not launch-ready. You are one support ticket, bad review, or security incident away from wasting your first ad spend.

The goal is simple: make the product safe enough to sell to the first 100 users without creating a cleanup job later.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | Domain + redirects | Root domain and www resolve correctly; one canonical URL | Prevents duplicate content and broken links | SEO split, login callback failures | | SSL everywhere | No mixed content; valid certs on all subdomains | Protects logins and sessions | Browser warnings, blocked forms | | Email authentication | SPF, DKIM, DMARC all pass | Improves deliverability | Emails go to spam or fail outright | | Cloudflare protection | DNS proxied where needed; WAF/rate limits enabled | Reduces abuse and downtime risk | Bot attacks, noisy traffic spikes | | Secrets handling | Zero secrets in repo or frontend bundle | Stops account takeover and data leaks | Exposed API keys, billing damage | | Production deployment | Live build matches intended environment vars | Avoids staging bugs in prod | Broken onboarding, bad configs | | Monitoring | Uptime checks + alerting configured within 5 minutes | Detects outages fast | Slow incident response, lost users | | Authz checks | Users only see their own data/actions | Prevents data exposure | Privacy breach, trust loss | | Automation safety | Tool actions require guardrails and validation | Stops runaway workflows | Spam sends, destructive actions | | Performance basics | LCP under 2.5s on key pages; p95 API under 500ms | Conversion and retention depend on speed | Drop-off before signup completes |

The Checks I Would Run First

1. Domain and redirect hygiene

• Signal: `example.com`, `www.example.com`, and any app subdomain all resolve predictably to one canonical path.
• Tool or method: `dig`, browser tests, Cloudflare DNS check, curl against root URLs.
• Fix path: Set one canonical domain, force HTTPS, add 301 redirects from non-canonical variants, and verify OAuth callback URLs match exactly.

2. Email deliverability setup

• Signal: SPF passes, DKIM signs outbound mail, DMARC is at least monitoring mode with alignment working.
• Tool or method: MXToolbox checks, Gmail "show original", Postmark or SendGrid dashboard tests.
• Fix path: Publish correct DNS records for your provider. If DMARC fails today but you need to launch fast, move to `p=none` first and tighten later after validation.

3. Secret exposure audit

• Signal: No API keys in Git history, frontend bundles, logs, error pages, or public env files.
• Tool or method: GitHub secret scanning, `gitleaks`, browser source inspection, build artifact review.
• Fix path: Rotate anything exposed immediately. Move secrets server-side only. If a key must exist in client code for a public API by design, confirm it has strict origin restrictions and scoped permissions.

4. Auth and authorization boundary test

• Signal: One logged-in user cannot read or change another user's records by changing IDs in URLs or requests.
• Tool or method: Manual ID tampering tests with dev tools plus automated API tests for ownership checks.
• Fix path: Enforce object-level authorization on every request server-side. Do not trust frontend hiding alone.

5. Automation safety review

• Signal: Automated actions have validation steps, rate limits, retries with caps, and clear human override points.
• Tool or method: Review workflows in Make/Zapier/n8n/queues/background jobs; simulate bad inputs and repeated triggers.
• Fix path: Add idempotency keys, max retry counts, approval gates for destructive actions, and input sanitization before tool execution.

6. Monitoring and incident visibility

• Signal: You get an alert when uptime drops below threshold or email/API errors spike.
• Tool or method: UptimeRobot/Pingdom/Better Stack checks plus error tracking like Sentry.
• Fix path: Configure health endpoints for app and critical APIs. Alert on downtime longer than 2 minutes and error-rate spikes above normal baseline.

Red Flags That Need a Senior Engineer

1. You found secrets already pushed to GitHub This is not a cleanup task for a founder. It means rotation order matters more than deletion order.

2. Users can change IDs in requests and see other people's data That is an object-level auth bug. If you do not know how to trace it through backend middleware and database queries quickly enough to fix it safely yourself.

3. Your automation stack can trigger money movement or external sends If workflows can email customers,, create invoices,, change CRM status,, or call webhooks at scale,, you need rate limits,, idempotency,, audit logs,, and rollback thinking now.

4. Email deliverability is already failing before launch If your own test emails land in spam,, your onboarding will leak users immediately.

5. You have no reliable way to know when production breaks Without alerting,, logging,, and error tracking,, you are running blind during your first paid traffic spike.

DIY Fixes You Can Do Today

1. Run a secret scan Use GitHub secret scanning if available,, then run `gitleaks` locally across the repo history.

2. Check DNS records now Confirm A/CNAME records point where they should,, remove old host records,, and make sure there is one canonical domain.

3. Test email authentication Send a test email from production settings,, then verify SPF/DKIM/DMARC using MXToolbox or Gmail headers.

4. Turn on basic monitoring Add uptime checks for homepage,,, login,,, signup,,, webhook endpoint,,, and health route. Set alerts by email plus Slack if possible.

5. Review your automation limits Add caps on retries,,, batch sizes,,, webhook frequency,,, and outbound sends so one bad input does not create a support fire.

Where Cyprian Takes Over

• DNS failures -> I set up DNS records,,, redirects,,, subdomains,,, canonical URLs,,, Cloudflare proxying,,, SSL issuance,,, and cache rules.
• Email failures -> I configure SPF/DKIM/DMARC,,, verify sender alignment,,, test inbox placement,,, and clean up sending domains.
• Secret leaks -> I remove exposed values from code paths,,, move config into environment variables,,, rotate keys where needed,,, and verify nothing ships client-side that should stay private.
• Production mismatch -> I deploy the app to production with correct env vars,,, confirm build parity,,, smoke test core flows,,, and fix release blockers before handover.
• Monitoring gaps -> I wire uptime monitoring,,, error alerts,,, basic logs,,,,and hand over a checklist so you know what to watch after launch.
• Security gaps -> I check auth boundaries,,,, public endpoints,,,, rate limiting,,,, CORS,,,, session handling,,,,and obvious abuse paths that could hurt early users fast.

My timeline is straightforward:

• Hour 0 to 12: audit DNS,,,, email,,,, secrets,,,, deployment,,,,and auth boundaries.
• Hour 12 to 24: fix critical issues,,,, validate SSL,,,, Cloudflare,,,,and production config.
• Hour 24 to 36: test signup,,,, login,,,, automation flows,,,,and mobile behavior.
• Hour 36 to 48: monitor release health,,,, run final smoke tests,,,,and deliver handover notes with next-step risks clearly listed.

If you want the blunt version: DIY is fine when everything passes except polish. Buy help when launch risk becomes security risk,, deliverability risk,, or support risk.

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
• Cloudflare SSL/TLS documentation: https://developers.cloudflare.com/ssl/
• Google Email sender guidelines: https://support.google.com/a/answer/81126?hl=en

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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.*