🎯 What You'll Learn
- Set up a controlled AI environment
- Frame security problems for ML
- Build and evaluate simple models
- Apply AI to detection and triage
About This Workbook
AI isn’t only a target — it’s also a tool. This workbook is a hands-on introduction to building models that support security work, with a controlled environment and realistic use cases.
Chapter 1 — Setting Up
A safe, reproducible AI workspace.
- Environment
- Datasets
- Tooling
Chapter 2 — Framing Problems
Turning a security need into an ML task.
- Classification vs anomaly
- Features
- Labels and data
Chapter 3 — Applying AI
Putting models to work on real problems.
- Detection use cases
- Triage support
- Evaluation
Keep going. Work through each chapter in order, then apply what you learned in the matching labs.