We have three great trainings available for 2025! We are charging a small fee to ensure people who want the seats show up!
You must have a conference badge to attend these trainings.
KQL for Threat Hunters: An Interactive Workshop on the Hunt/Intel Loop 10:20AM to 12:20PM
In this workshop, participants will experience a full-cycle threat-hunting investigation that blends both active hunting and intelligence analysis. The session begins with a tip-off from a partner company, setting the stage for a targeted hunt. Using Azure Data Explorer (ADX) and Kusto Query Language (KQL), attendees will investigate initial findings, gather relevant intelligence, and learn to understand their adversary by applying the diamond model.
Hosted on the KC7 gamified security training platform, this workshop brings a fun and engaging experience that demonstrates how hunting informs intelligence and vice versa, allowing attendees to practice each side of the loop to complete a holistic investigation.
Built around a scenario inspired by real APT tactics and crafted specifically for BSides San Diego, this workshop will guide participants through every stage of the hunt. Whether you're a beginner or an experienced professional, you’ll leave with strategies to uncover threats and adapt intelligence analysis to enhance each investigation.
Taught by Jibby Saetang
AI-Driven Defense: Building a Deep Neural Network for Network Intrusion Detection 12:50PM to 2:50PM
In this hands-on workshop, we will focus on the intersection of machine learning and cybersecurity by building a "Deep Neural Network (DNN)-based Network Intrusion Detection System (NIDS)." Intrusion detection tools are essential in identifying unauthorized access and attacks on networks, and with the rise of sophisticated cyber threats, traditional rule-based systems are no longer enough. A DNN can automatically learn patterns in network traffic to detect suspicious activities, making it a powerful defense mechanism against modern cyber threats.
Participants will learn how to design, train, and evaluate a DNN to classify network traffic as usual or malicious. This workshop will use simple Python scripts and PyTorch, and we’ll be leveraging Google Colab—a free cloud platform—so no special software or prior experience is required. All materials, including code and resources, will be provided, making it easy to continue exploring machine learning and cybersecurity after the session. (edited)
Taught by Gaspard Baye
Keeping Things Local - Making Your Own Private LLM 3:10 to 4:50
Ever wanted your own private version of ChatGPT? LLMs offer powerful capabilities, but not everyone is comfortable sending their data over the internet to Microsoft, OpenAI, or Anthropic. Fortunately, open-source tools make it possible to set up and customize a local, secure LLM on your own terms. From installation to optimization, this workshop will guide you through the process step by step, with demos to illustrate each stage. It’s time to build your own mini-Jarvis and start getting things done, efficiently, securely, and privately.
Taught by Bronwen Aker
