This chapter establishes the core concepts of LLM red teaming. We begin by outlining the general practice of red teaming, then focus on its specific application and importance for Large Language Models. You will be introduced to common LLM vulnerabilities and the structured phases involved in a red teaming lifecycle. Subsequent sections address how to define clear objectives and scope for an engagement, the necessity of understanding an attacker's perspective, and the relevant legal and ethical considerations. To put these concepts into practice, the chapter finishes with an exercise where you will define the scope for a simulated LLM red team operation.
1.1 What is Red Teaming: A General Overview
1.2 Why Red Teaming is Essential for LLMs
1.3 LLM Vulnerabilities: An Introduction
1.4 The LLM Red Teaming Lifecycle
1.5 Roles and Responsibilities in an LLM Red Team
1.6 Setting Objectives and Scope for LLM Red Teaming
1.7 Understanding the Attacker's Mindset
1.8 Legal Frameworks and Responsible Disclosure Practices
1.9 Hands-on: Defining Scope for a Mock LLM Red Team Operation
© 2025 ApX Machine Learning