Blog

Welcome back to the AI Threat Hunting Lab build! As promised in last week’s update, this post is a technical deep dive into the core components, configurations, and software used to get the network backbone online.

A quick update on the AI Threat Hunting Lab! The core network backbone is now complete, featuring a Kali attacker, an Ubuntu client, pfSense for routing, and Splunk for centralized visibility. Hello everyone, and welcome back! Following my initial post, I’ve decided to switch this tracking journey to a weekly update to better capture the rapid progress of building out the AI Threat Hunting Lab.

As a PhD student with a deep background in both AI and traditional security, I’m pivoting my focus to the practical, industry-driven field of AI Security Engineering. This post marks the beginning of my tracking journey, outlining the core distinction of this new discipline and my immediate plan. This blog will serve as a bi-weekly tracker for my learning and practical application in the emerging domain of AI Security Engineering. Given my foundational expertise in both AI and traditional Security, my focus here is on understanding where the practical industry implementation and threat modeling are heading.