🎯 What You'll Learn
- Map the AI/ML attack surface
- Understand attacks across the AI lifecycle
- Plan an AI red-team assessment
- Reason about AI defences
About This Workbook
AI systems introduce a brand-new attack surface. This workbook surveys the AI red-teaming landscape — from prompt injection and data attacks to evasion and privacy — and ties the AI labs together.
Chapter 1 — The AI Attack Surface
Where AI systems can be attacked.
- Data, model, application
- Lifecycle risks
- Threat modelling AI
Chapter 2 — Attack Categories
The main families of AI attacks.
- Prompt and output attacks
- Data and model attacks
- Evasion and privacy
Chapter 3 — Methodology & Defence
Running an assessment and hardening systems.
- Assessment approach
- Guardrails
- Monitoring
Keep going. Work through each chapter in order, then apply what you learned in the matching labs.