Let’s make sure it’s
safe to run.

You’ve built a tool that works.
Let’s keep it that way.

Before your team or customers depend on it, let’s find the real risks and fix them.

Sound familiar?

  • It works, but you’re not sure what’s exposed.
  • There’s an API key somewhere in the code. Probably.
  • It’s on a public link, and you don’t know who can reach it.
  • You asked the AI if it’s secure. It said yes.

Building it was the hard part. Running it safely is the part people skip.

Not a long audit report.
A short list of what matters, and the fixes.

I’ll look at what you’ve built, how you’ll use it and what it touches. Then we’ll decide together what’s worth changing. The goal isn’t perfect. It’s sensible.

  1. Understand what you’ve built.

    What it does, who uses it and what data it touches.

  2. Find the real risks.

    Only the ones that could actually hurt you.

  3. Make the simplest fixes.

    Often changing how it runs, not rewriting it.

  4. Know what’s left.

    What we’ve reduced, and what still needs care.

Honest about the limits.

Scans and AI reviews catch real problems, but no single review proves something is secure.

You’ll get meaningfully less risk and a clear picture of what’s left. If you need a formal penetration test, I’ll tell you and help you work out what to ask for.

Security is what I do.

I’ve spent most of my career in security and infrastructure: SOC operations for enterprise clients and deployments for banking and government clients.

I also build software and automations, so I know how these tools get built and how they go wrong.

I also hold Microsoft SC-200 and CompTIA CySA+.

Who it’s for.

  • Businesses whose staff have built tools with AI that touch customer data.
  • Owners and operations leads who need to know a tool is safe before people rely on it.

You don’t need to be technical, just able to tell me what it does.

Building with AI is a good thing.
Let’s do it safely.

Tell me what you’ve built. It starts with a free 30-minute call.