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AI Security and Prompt Injection Attacks
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This book teaches AI security from beginner to practical defensive engineering level. It covers threat modeling, prompt injection, indirect prompt injection, tool abuse, secure RAG, monitoring, red teaming, and how to design safer agents and copilots.
Level: advancedLanguage: EN EnglishRating: 0Reviews: 0
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Book contents
01Chapter 1: Introduction to AI Security02Chapter 2: Threat Modeling for LLM Applications03Chapter 3: Prompt Injection Fundamentals04Chapter 4: Direct and Indirect Prompt Injection05Chapter 5: Tool Abuse and Data Exfiltration06Chapter 6: Prompt Leakage and Secret Handling07Chapter 7: Retrieval Poisoning and Malicious Documents08Chapter 8: Multimodal and Cross-Channel Attacks09Chapter 9: Trust Boundaries and Least Privilege10Chapter 10: Safer Prompts, Policy Layers, and Structured Outputs11Chapter 11: Sandboxing, Allowlists, and Approval Gates12Chapter 12: Secure RAG, Connectors, and Memory13Chapter 13: Logging, Monitoring, and Incident Response14Chapter 14: Red Teaming, Evals, and Regression Testing15Chapter 15: Secure Architectures for Agents and Copilots16Chapter 16: Production Security Case Study and Next Steps17Appendix A: Commands and Workflow Cheat Sheet18Appendix B: Reference Architectures and Patterns19Appendix C: Common Mistakes and Fixes20Appendix D: Best Practices Summary
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