Building Hackbots

Building AI-Powered Penetration Testing Bots

In this talk, we'll walk through the core design philosophy behind AI hackbots and the architecture that makes them work: single-purpose vs. multi-stage bots, context engineering for targeted prompting, and tool integration with output parsing workflows.

Then we'll get hands-on. We'll live-build a functional hackbot for a common offensive task — demonstrating asset discovery, endpoint analysis, or mutation-focused testing (e.g., XSS/SSRF) — and show how context engineering and hallucination mitigation work in practice against real targets. You'll see where AI genuinely accelerates reconnaissance and web analysis, and where it falls flat if you aren't careful. We'll close with lessons on cost optimization, auditability, and integrating hackbots into actual engagements.

Who should attend: Pentesters and bug bounty hunters with offensive security experience who want to meaningfully integrate AI into their workflow — not as a novelty, but as reliable tooling.

What you'll walk away with: A clear mental model for when and how to build hackbots, a live demo you can replicate, and a path into the full course where you'll build seven production-ready bots from asset discovery through mutation testing.