From 9394bfdf3aac1494ad409fb823a1bed0976e2a1f Mon Sep 17 00:00:00 2001 From: shiva108 Date: Thu, 22 Jan 2026 11:38:36 +0100 Subject: [PATCH] w Refactor headings and bullet points for better readability in docs/Chapter_46_Conclusion_and_Next_Steps.md --- docs/Chapter_46_Conclusion_and_Next_Steps.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/Chapter_46_Conclusion_and_Next_Steps.md b/docs/Chapter_46_Conclusion_and_Next_Steps.md index 3d7b862..757d2bd 100644 --- a/docs/Chapter_46_Conclusion_and_Next_Steps.md +++ b/docs/Chapter_46_Conclusion_and_Next_Steps.md @@ -39,33 +39,33 @@ graph TD ### What You've Mastered -**Part I: Professional Foundations (Ch 1-4)** +#### Part I: Professional Foundations (Ch 1-4) - The fundamentals of AI red teaming and why it's critical - Ethical frameworks, legal compliance (CFAA, GDPR), and stakeholder communication - The red teamer's mindset: curiosity, creativity, and systematic thinking - SOW, Rules of Engagement, and client onboarding procedures -**Part II: Project Preparation (Ch 5-8)** +#### Part II: Project Preparation (Ch 5-8) - Threat modeling methodologies specific to AI systems - Scoping engagements: in-scope vs out-of-scope for AI components - Building isolated red team labs with proper safety controls - Chain of custody and evidence handling for non-deterministic systems -**Part III: Technical Fundamentals (Ch 9-11)** +#### Part III: Technical Fundamentals (Ch 9-11) - LLM architectures: transformers, attention mechanisms, tokenization - Context windows, generation parameters, and model behavior - Plugin architectures and API integration points -**Part IV: Pipeline Security (Ch 12-13)** +#### Part IV: Pipeline Security (Ch 12-13) - RAG system vulnerabilities and retrieval poisoning - Supply chain attacks: from training data to model distribution - Vector database security and embedding space manipulation -**Part V: Attacks & Techniques (Ch 14-24)** +#### Part V: Attacks & Techniques (Ch 14-24) - Prompt injection (direct, indirect, multi-turn) - Data leakage and training data extraction @@ -78,7 +78,7 @@ graph TD - Multimodal attacks (vision, audio, cross-modal) - Social engineering via AI agents -**Part VI: Defense & Mitigation (Ch 25-30)** +#### Part VI: Defense & Mitigation (Ch 25-30) - Adversarial machine learning and robustness - Supply chain defense and model provenance @@ -87,7 +87,7 @@ graph TD - Model inversion defenses - Backdoor detection and mitigation -**Part VII: Advanced Operations (Ch 31-39)** +#### Part VII: Advanced Operations (Ch 31-39) - OSINT and reconnaissance for AI systems - Attack automation frameworks (TAP, GCG) @@ -99,7 +99,7 @@ graph TD - Continuous red teaming programs - Bug bounty hunting for AI vulnerabilities -**Part VIII: Strategic Topics (Ch 40-46)** +#### Part VIII: Strategic Topics (Ch 40-46) - Compliance frameworks (EU AI Act, ISO 42001, NIST AI RMF) - Industry best practices and defense architectures