"Prompt Injection Defense: Hardening RAG, Tools, and System Prompts"
Prompt injection is no longer a niche prompt-engineering problem; it is a full-stack security challenge that threatens any system built on retrieval, tools, agents, or layered prompts. This book is written for experienced engineers, security architects, platform teams, and technical leaders who need to secure real LLM applications under production constraints. It treats prompt injection not as model misbehavior to be wished away, but as a systems problem requiring boundaries, controls, and verifiable enforcement.
Across eight tightly structured chapters, the book shows how prompt injection emerges in modern LLM pipelines and how to defend against it at every layer. Readers will learn to threat-model LLM applications, identify trust boundaries, harden RAG pipelines, secure corpus ingestion and provenance, design robust system prompts, and constrain tool use with least privilege, argument validation, and sandboxing. The book also covers output validation, adversarial testing, telemetry, incident response, and mapping controls to OWASP LLM Top 10 and NIST AI RMF.
Rather than repeating generic advice about “better prompts,” this guide focuses on practical architecture and operational discipline. It assumes familiarity with LLM application development, APIs, and modern security concepts, and rewards readers who want deep treatment of edge cases, failure modes, and implementation trade-offs.
