Whitepaper

The Build-Versus-Buy Decision for Autonomous Offensive Security

A practical guide to evaluating control, cost, safety, validation, and long-term ownership.

As frontier models improve, building an in-house AI penetration testing tool can feel increasingly practical and achievable. But there are many factors a team needs to consider before building their now. This guide is intended to help teams consider all aspects of building an AI penetration testing system.

In this whitepaper, you'll learn:

Where LLMs are strong for pentesting, and where they need support

The operational difficulties of runtime penetration testing

The safety and governance aspects of runtime penetration testing

The total cost of ownership of an in-house AI penetration testing tool

And more

Leo Golovyrin
Application Security Lead of Seznam.cz

"Even right now after 1 year, I don’t know any other company that is at least close to XBOW in terms of agentic pentesting."