# Summary

## Introduction

- [Red Teaming AI & LLMs: The Consultant's Complete Handbook](AI LLM Red Team Handbook.md)

## Part I: Foundations

- [Chapter 1: Introduction to AI Red Teaming](Chapter_01_Introduction_to_AI_Red_Teaming.md)
- [Chapter 2: Ethics, Legal, and Stakeholder Communication](Chapter_02_Ethics_Legal_and_Stakeholder_Communication.md)
- [Chapter 3: The Red Teamer's Mindset](Chapter_03_The_Red_Teamers_Mindset.md)

## Part II: Project Preparation

- [Chapter 4: SOW, Rules of Engagement, and Client Onboarding](Chapter_04_SOW_Rules_of_Engagement_and_Client_Onboarding.md)
- [Chapter 5: Threat Modeling and Risk Analysis](Chapter_05_Threat_Modeling_and_Risk_Analysis.md)
- [Chapter 6: Scoping an Engagement](Chapter_06_Scoping_an_Engagement.md)
- [Chapter 7: Lab Setup and Environmental Safety](Chapter_07_Lab_Setup_and_Environmental_Safety.md)
- [Chapter 8: Evidence, Documentation, and Chain of Custody](Chapter_08_Evidence_Documentation_and_Chain_of_Custody.md)

## Part III: Operational Workflows

- [Chapter 9: Writing Effective Reports and Deliverables](Chapter_09_Writing_Effective_Reports_and_Deliverables.md)
- [Chapter 10: Presenting Results and Remediation Guidance](Chapter_10_Presenting_Results_and_Remediation_Guidance.md)
- [Chapter 11: Lessons Learned and Building Future Readiness](Chapter_11_Lessons_Learned_and_Building_Future_Readiness.md)

## Part IV: Technical Fundamentals

- [Chapter 12: Retrieval-Augmented Generation (RAG) Pipelines](Chapter_12_Retrieval_Augmented_Generation_RAG_Pipelines.md)
- [Chapter 13: Data Provenance and Supply Chain Security](Chapter_13_Data_Provenance_and_Supply_Chain_Security.md)

## Part V: Attacks & Techniques

- [Chapter 14: Prompt Injection (Direct/Indirect, 1st/3rd Party)](Chapter_14_Prompt_Injection.md)
- [Chapter 15: Data Leakage and Extraction](Chapter_15_Data_Leakage_and_Extraction.md)
- [Chapter 16: Jailbreaks and Bypass Techniques](Chapter_16_Jailbreaks_and_Bypass_Techniques.md)
- [Chapter 17: Plugin and API Exploitation](Chapter_17_Plugin_and_API_Exploitation.md)
- [Chapter 18: Evasion, Obfuscation, and Adversarial Inputs](Chapter_18_Evasion_Obfuscation_and_Adversarial_Inputs.md)
- [Chapter 19: Training Data Poisoning](Chapter_19_Training_Data_Poisoning.md)
- [Chapter 20: Model Theft and Membership Inference](Chapter_20_Model_Theft_and_Membership_Inference.md)

## Reference Materials

- [Appendix A: Red Team Tools, Resources, and Further Reading](AI LLM Red Team Handbook.md#appendix-a-red-team-tools-resources-and-further-reading)