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:
"synopsis" may belong to another edition of this title.
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Print on Demand. Seller Inventory # I-9798181742659
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798181742659
Quantity: Over 20 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. 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 threatsPrompt injection attacks and practical defensesRAG security and knowledge-base protectionAI agent and MCP security best practicesModel poisoning and training data attacksSecure system prompt designAI API security and authentication controlsMulti-tenant AI application securityAI monitoring, logging, and observabilityAI governance and risk managementEU AI Act, GDPR, and NIST AI RMF complianceSecure AI Development Lifecycle implementationReal-world AI security case studies and frameworksUnlike 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798181742659
Quantity: 1 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware. Seller Inventory # 9798181742659
Quantity: 2 available