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45 lines
2.5 KiB
Markdown
45 lines
2.5 KiB
Markdown
# Summary
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## Introduction
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- [Red Teaming AI & LLMs: The Consultant's Complete Handbook](AI LLM Red Team Handbook.md)
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## Part I: Foundations
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- [Chapter 1: Introduction to AI Red Teaming](Chapter_01_Introduction_to_AI_Red_Teaming.md)
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- [Chapter 2: Ethics, Legal, and Stakeholder Communication](Chapter_02_Ethics_Legal_and_Stakeholder_Communication.md)
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- [Chapter 3: The Red Teamer's Mindset](Chapter_03_The_Red_Teamers_Mindset.md)
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## Part II: Project Preparation
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- [Chapter 4: SOW, Rules of Engagement, and Client Onboarding](Chapter_04_SOW_Rules_of_Engagement_and_Client_Onboarding.md)
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- [Chapter 5: Threat Modeling and Risk Analysis](Chapter_05_Threat_Modeling_and_Risk_Analysis.md)
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- [Chapter 6: Scoping an Engagement](Chapter_06_Scoping_an_Engagement.md)
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- [Chapter 7: Lab Setup and Environmental Safety](Chapter_07_Lab_Setup_and_Environmental_Safety.md)
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- [Chapter 8: Evidence, Documentation, and Chain of Custody](Chapter_08_Evidence_Documentation_and_Chain_of_Custody.md)
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## Part III: Operational Workflows
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- [Chapter 9: Writing Effective Reports and Deliverables](Chapter_09_Writing_Effective_Reports_and_Deliverables.md)
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- [Chapter 10: Presenting Results and Remediation Guidance](Chapter_10_Presenting_Results_and_Remediation_Guidance.md)
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- [Chapter 11: Lessons Learned and Building Future Readiness](Chapter_11_Lessons_Learned_and_Building_Future_Readiness.md)
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## Part IV: Technical Fundamentals
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- [Chapter 12: Retrieval-Augmented Generation (RAG) Pipelines](Chapter_12_Retrieval_Augmented_Generation_RAG_Pipelines.md)
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- [Chapter 13: Data Provenance and Supply Chain Security](Chapter_13_Data_Provenance_and_Supply_Chain_Security.md)
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## Part V: Attacks & Techniques
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- [Chapter 14: Prompt Injection (Direct/Indirect, 1st/3rd Party)](Chapter_14_Prompt_Injection.md)
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- [Chapter 15: Data Leakage and Extraction](Chapter_15_Data_Leakage_and_Extraction.md)
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- [Chapter 16: Jailbreaks and Bypass Techniques](Chapter_16_Jailbreaks_and_Bypass_Techniques.md)
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- [Chapter 17: Plugin and API Exploitation](Chapter_17_Plugin_and_API_Exploitation.md)
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- [Chapter 18: Evasion, Obfuscation, and Adversarial Inputs](Chapter_18_Evasion_Obfuscation_and_Adversarial_Inputs.md)
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- [Chapter 19: Training Data Poisoning](Chapter_19_Training_Data_Poisoning.md)
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- [Chapter 20: Model Theft and Membership Inference](Chapter_20_Model_Theft_and_Membership_Inference.md)
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## Reference Materials
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- [Appendix A: Red Team Tools, Resources, and Further Reading](AI LLM Red Team Handbook.md#appendix-a-red-team-tools-resources-and-further-reading)
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