Cybersecurity for AI: The Complete Cybersecurity Guide for Building, Deploying, and Protecting AI, LLM, RAG, Agentic AI, and Machine Learning Systems (The Digital Defence Library) - Softcover

Book 3 of 3: The Digital Defence Library

Vale, Ethan

9798181742659: Cybersecurity for AI: The Complete Cybersecurity Guide for Building, Deploying, and Protecting AI, LLM, RAG, Agentic AI, and Machine Learning Systems (The Digital Defence Library)

Softcover

ISBN 13: 9798181742659

Publisher: Independently published, 2026

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Artificial Intelligence is transforming every industry.

But most organizations are deploying AI faster than they can secure it.

From prompt injection and model poisoning to RAG vulnerabilities, agentic AI risks, supply chain attacks, and AI governance challenges, modern AI systems introduce an entirely new security landscape that traditional cybersecurity practices were never designed to address.

The question is no longer whether your organization will use AI.

The question is whether your AI systems can be trusted.

In Securing AI, Ethan Vale provides a practical and comprehensive guide to protecting modern AI and machine learning environments. Written for developers, architects, CTOs, security leaders, product managers, and technology teams, this book explains how to build secure AI systems from design through deployment.

Inside you'll learn:

The OWASP LLM Top 10 and emerging AI security threats
Prompt injection attacks and practical defenses
RAG security and knowledge-base protection
AI agent and MCP security best practices
Model poisoning and training data attacks
Secure system prompt design
AI API security and authentication controls
Multi-tenant AI application security
AI monitoring, logging, and observability
AI governance and risk management
EU AI Act, GDPR, and NIST AI RMF compliance
Secure AI Development Lifecycle implementation
Real-world AI security case studies and frameworks

Unlike theoretical AI books, this guide focuses on practical implementation, real-world threats, and actionable controls that organizations can apply immediately.

Whether you are building AI products, integrating large language models, deploying enterprise copilots, or managing AI risk across your organization, this book provides the security foundation needed to build trustworthy AI systems.

The future belongs to organizations that can deploy AI securely.

This book shows you how.

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