diff --git a/docs/Chapter_01_Introduction_to_AI_Red_Teaming.md b/docs/Chapter_01_Introduction_to_AI_Red_Teaming.md index 93562ff..004565f 100644 --- a/docs/Chapter_01_Introduction_to_AI_Red_Teaming.md +++ b/docs/Chapter_01_Introduction_to_AI_Red_Teaming.md @@ -1,7 +1,7 @@ -![Banner](assets/banner.svg) - # Chapter 1: Introduction to AI Red Teaming +![Banner](assets/page_header_half_height.png) + ## 1.1 What Is AI Red Teaming? AI Red Teaming is the structured practice of simulating attacks on artificial intelligence (AI) systems - including Large Language Models (LLMs)-to uncover vulnerabilities, model real-world adversaries, and provide actionable recommendations for defense and mitigation. Originating from traditional cybersecurity red teams, AI red teaming adapts and extends the discipline to the unique risks and attack surfaces presented by machine learning, NLP systems, and autonomous agents.