Master AI Security Before Attackers Do
Large Language Models (LLMs) are transforming software development, enterprise automation, customer support, coding assistants, AI agents, and Retrieval-Augmented Generation (RAG) applications. But as AI adoption accelerates, so does a new class of cyber threats-prompt injection attacks.
A single malicious prompt can manipulate AI behavior, expose sensitive information, bypass security controls, abuse tool-calling capabilities, and compromise autonomous workflows. Understanding how these attacks work-and how to defend against them-is now an essential skill for developers, security professionals, and AI practitioners.
Mastering Prompt Injection: Securing Large Language Models Against AI Attacks is a practical, comprehensive guide to securing modern AI systems. From foundational concepts to advanced defensive strategies, this book equips you with the knowledge needed to build resilient, trustworthy AI applications.
You'll explore how large language models process instructions, why prompt injection succeeds, and how attackers exploit AI-powered applications. The book also covers AI threat modeling, secure prompt engineering, Retrieval-Augmented Generation (RAG) security, AI agent protection, tool-calling security, runtime monitoring, incident response, governance, and secure AI development practices.
Packed with runnable code examples, text-based flowcharts, comparison tables, security checklists, real-world case studies, and reusable templates, this book emphasizes practical implementation rather than theory alone.
Inside, you'll learn how to:
Understand prompt injection and AI attack techniques.
Identify and secure AI attack surfaces.
Protect RAG systems, AI agents, and tool-calling workflows.
Prevent prompt leakage and data exfiltration.
Design secure prompts using proven defensive patterns.
Implement threat modeling, security testing, and AI red teaming.
Build secure AI architectures with monitoring, governance, and defense-in-depth strategies.
Develop the skills needed for a successful career in AI security.
Whether you're an AI engineer, software developer, cybersecurity professional, security architect, DevSecOps practitioner, researcher, or student, this book provides the practical guidance needed to design, test, deploy, and maintain secure AI applications.
As AI becomes increasingly integrated into critical systems, securing it is no longer optional-it's a fundamental engineering responsibility. Mastering Prompt Injection gives you the tools, strategies, and security-first mindset to stay ahead of evolving AI threats and build safer, more resilient AI solutions.
