We built a security check for AI-built SaaS because we kept seeing the same mistakes

The rise of AI coding tools has made building software incredibly fast.

The downside? It’s also made it much easier to ship insecure code.

While working on different SaaS projects, we noticed a pattern. Teams were launching products with issues that were rarely intentional:

• Exposed API keys

• Weak authentication flows

• Missing security headers

• Unprotected admin endpoints

• Misconfigured webhooks

• Poor access controls

None of these were caused by a lack of skill. They happened because startups are moving fast, and security is often pushed until “later.”

So we started building Preflight.

Instead of waiting for a penetration test—or worse, a production incident—Preflight reviews your application before launch and highlights security issues with actionable recommendations.

We’re still early, and we’re learning every day.

I’d love to hear from other founders:

How do you currently handle security before deploying a new version?

• Manual review?

• External pentest?

• Automated scanners?

• Or is it something you’ll think about once you have users?

If you’re interested in seeing what we’re building, you can check it out here:
👉 https://preflightio.com

I’d genuinely appreciate any feedback, especially from people building AI products or SaaS platforms.