checklists / launch-ready

Launch Ready cyber security Checklist for AI-built SaaS app: Ready for scaling past prototype traffic in AI tool startups?.

'Ready' means your AI-built SaaS can handle real users without leaking data, breaking auth, or collapsing under the first paid traffic spike.

Launch Ready cyber security Checklist for AI-built SaaS app: Ready for scaling past prototype traffic in AI tool startups?

"Ready" means your AI-built SaaS can handle real users without leaking data, breaking auth, or collapsing under the first paid traffic spike.

For an AI tool startup, that means more than "the site loads." It means zero exposed secrets, no critical auth bypasses, SPF/DKIM/DMARC passing, Cloudflare in front of the app, SSL enforced everywhere, environment variables separated by environment, uptime monitoring live, and a deployment path that does not depend on one founder clicking buttons at 2 a.m.

If I were assessing this for a founder, I would call it launch-ready only if these are true:

  • A new user can sign up, verify email, log in, and use the core feature without manual fixes.
  • The app has no public secrets in code, logs, build output, or browser bundles.
  • All production traffic is behind HTTPS with redirects from HTTP to HTTPS.
  • DNS is clean, email is authenticated, and subdomains are intentional.
  • Basic abuse controls exist: rate limits, WAF rules, and DDoS protection.
  • Monitoring will alert you before customers do.
  • The app can survive a traffic jump from 10 daily users to 1,000 without obvious failure.

For scaling past prototype traffic, I want to see p95 API latency under 500ms for the main user flow, no critical auth bypasses, and a Lighthouse score above 85 on mobile for the landing page. If those numbers are not close today, you are not "almost ready"; you are still in prototype territory.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | DNS ownership | Root domain and key subdomains resolve correctly | Users reach the right app and email systems | Misroutes, broken sign-in links, lost trust | | HTTPS everywhere | HTTP redirects to HTTPS; valid SSL on all endpoints | Protects sessions and data in transit | Browser warnings, session theft risk | | Cloudflare in front | Proxy enabled with WAF and DDoS protection | Reduces attack surface and absorbs abuse | Bot traffic hits origin directly | | Secrets hygiene | Zero secrets in repo or client bundle | Prevents account takeover and cloud compromise | Leaked API keys, billing damage | | Email auth | SPF, DKIM, DMARC all pass | Stops spoofing and improves deliverability | Login emails land in spam or get forged | | Auth controls | No critical auth bypasses; strong session handling | Protects customer data and tenant isolation | Unauthorized access across accounts | | Rate limiting | Login, signup, OTP, and API limits enforced | Blocks brute force and cost abuse | Credential stuffing and bill spikes | | Environment separation | Dev/staging/prod isolated with distinct vars | Prevents test data from hitting prod | Accidental data loss or bad deploys | | Monitoring live | Uptime + error alerts configured | Finds outages fast enough to act | Silent downtime and support flood | | Rollback path | Previous release can be restored fast | Limits blast radius of bad deploys | Long outages after one bad push |

The Checks I Would Run First

1. Secrets exposure check

  • Signal: Any API key, private token, webhook secret, or service credential appears in Git history, `.env` files committed by mistake, browser JS bundles, logs, or CI output.
  • Tool or method: I would scan the repo with `gitleaks`, review build artifacts manually, and inspect runtime logs from the last deploy.
  • Fix path: Rotate every exposed secret immediately. Move all credentials to environment variables or a managed secret store. Remove secrets from client-side code entirely.

2. Auth and session integrity check

  • Signal: Users can access another tenant's data by changing an ID in the URL or request body. Sessions do not expire properly. Password reset links stay valid too long.
  • Tool or method: I would run basic authorization tests against every read/write endpoint using a second test account. I would also inspect cookie flags like `HttpOnly`, `Secure`, and `SameSite`.
  • Fix path: Enforce server-side authorization on every request. Use short-lived sessions where possible. Regenerate tokens after login changes. Lock down password reset expiry windows.

3. DNS and email trust check

  • Signal: Root domain points correctly but `www`, `app`, `api`, or mail subdomains are missing or inconsistent. SPF/DKIM/DMARC are absent or failing.
  • Tool or method: I would inspect DNS records directly and test outbound mail with a mailbox deliverability check.
  • Fix path: Set canonical domain redirects once. Add SPF to define allowed senders. Sign mail with DKIM. Set DMARC to at least `p=quarantine` once alignment is verified.

4. Cloudflare edge protection check

  • Signal: Origin IP is public and reachable directly. No WAF rules exist for login abuse or suspicious bot patterns. Static assets are not cached at the edge.
  • Tool or method: I would confirm proxy status in Cloudflare and try reaching origin bypass routes from a clean network.
  • Fix path: Put Cloudflare in front of the app. Lock origin access so only Cloudflare can reach it where possible. Add rate limits on sensitive endpoints like login and signup.

5. Production deployment safety check

  • Signal: One manual deploy step can overwrite prod data or break migrations. There is no rollback plan. Staging does not match production enough to trust it.
  • Tool or method: I would review the deployment pipeline end to end and check whether schema changes are backward compatible.
  • Fix path: Make deploys repeatable. Separate build from release if possible. Use backward-compatible migrations first, then app code changes second.

6. Monitoring and incident visibility check

  • Signal: You only know about failures when a customer messages you. No uptime checks exist for login or checkout flow equivalents.
  • Tool or method: I would verify uptime monitors from outside your cloud provider plus error tracking inside the app.
  • Fix path: Set alerts for uptime loss, elevated 5xx rates, auth failures, queue backlog growth if applicable, and certificate expiry warnings.

Red Flags That Need a Senior Engineer

1. You found even one exposed production secret

If an API key was committed publicly or printed into client code once before launch day is already risky enough that DIY cleanup usually misses something.

2. Tenant data is stored but authorization is checked only on the frontend

That is how cross-account leaks happen. A senior engineer needs to verify every backend route because UI checks do not protect data.

3. Your AI feature can call tools without guardrails

If prompts can trigger external actions like sending emails, creating records, or changing settings without validation, prompt injection becomes a business risk fast.

4. The app has custom auth flows built by AI codegen

Password resets, magic links, OTP flows, OAuth callbacks, and invitation systems fail in subtle ways that break onboarding or create account takeover paths.

5. You expect real traffic soon but have no rollback plan

If one bad release could take down onboarding for hours while paid ads keep spending money into a broken funnel, you need senior help now.

DIY Fixes You Can Do Today

1. Rotate anything that might be exposed

Change API keys for payment providers, email services such as SendGrid/Postmark/Mailgun equivalents if used by your stack), database passwords if they were ever shared widely), OAuth client secrets if needed), and webhook secrets.

2. Turn on Cloudflare proxying

Put your domain behind Cloudflare so the origin is not sitting naked on the internet. Add basic WAF rules for obvious abuse paths like repeated login attempts.

3. Force HTTPS

Make sure all HTTP requests redirect to HTTPS at the edge or server level. Remove mixed content so browsers do not downgrade trust.

4. Verify SPF/DKIM/DMARC

Your outbound domain should pass all three before launch emails go out reliably.

v=spf1 include:_spf.your-email-provider.com ~all

5. Set up two monitors now

Add one uptime check for your homepage or health endpoint and one for login/sign-in success if your tool allows it. Alert by email plus Slack so you do not miss an outage overnight.

Where Cyprian Takes Over

If these checks fail anywhere beyond simple configuration cleanup,

Here is how I map failures to deliverables:

  • DNS problems -> domain setup verification for root domain plus key subdomains
  • Broken redirects -> canonical redirect rules from HTTP to HTTPS and non-preferred domains
  • Email trust issues -> SPF/DKIM/DMARC setup so transactional mail lands properly
  • Origin exposure -> Cloudflare proxying plus DDoS protection configuration
  • Slow static delivery -> caching rules for assets and safer cache headers
  • Secret leakage risk -> environment variable cleanup plus secrets handling review
  • Missing monitoring -> uptime monitoring setup with alert routing
  • Deployment fragility -> production deployment validation plus handover checklist

My sequence is simple:

1. Audit current domain + hosting setup. 2. Fix DNS records and redirect logic. 3. Lock down SSL + Cloudflare edge settings. 4. Clean up env vars/secrets handling. 5. Verify production deployment behavior. 6. Add monitoring. 7. Hand over a checklist you can keep using after launch.

For an AI-built SaaS app aiming to scale past prototype traffic, I would prioritize security first because a leaked key or auth flaw costs more than any redesign issue ever will. Then I would make sure launch infrastructure is stable enough that growth does not turn into support chaos.

If your product already works but feels fragile, Launch Ready is meant to remove the hidden failure points before they become public ones: broken onboarding, spoofed emails, stolen keys, downtime during ad spend, and customer trust damage you cannot easily buy back.

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

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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.*

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About the author

Cyprian Tinashe AaronsSenior Full Stack & AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.