{"product_id":"9780138363406","title":"Securing AI Using Zero Trust Principles","description":"\u003cp\u003e\u003cstrong\u003eSecuring AI Using Zero Trust Principles\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e\u003cem\u003eStrategic Guidance for Defending AI Systems in a Rapidly Evolving Threat Landscape\u003c\/em\u003e\u003c\/p\u003e \u003cp\u003eArtificial intelligence is reshaping industries, driving innovation in critical sectors such as healthcare, finance, energy, and government. Yet, as organizations integrate AI into business operations, they inherit new risks, many of which conventional security models fail to address. Adversaries are weaponizing AI to automate reconnaissance, bypass defenses, and exploit vulnerable systems. The solution is not more trust, but less.\u003c\/p\u003e \u003cp\u003eZero Trust offers a foundational paradigm shift: no identity, device, system, or interaction is inherently trusted. Security must be continuously enforced, context-aware, and resilient by design. This book demonstrates how Zero Trust, when strategically applied to AI environments, enables organizations to secure data pipelines, mitigate emergent threats, and maintain control over evolving digital ecosystems.\u003c\/p\u003e \u003cp\u003eKey insights include\u003c\/p\u003e \u003cul\u003e  \u003cli\u003e\n\u003cstrong\u003eAI Through a Security Lens:\u003c\/strong\u003e Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.\u003c\/li\u003e  \u003cli\u003e\n\u003cstrong\u003eZero Trust Foundations:\u003c\/strong\u003e Provides a historical and architectural overview of Zero Trust, including Cisco’s Five Zero Trust Categories.\u003c\/li\u003e  \u003cli\u003e\n\u003cstrong\u003eSecurity by Design for AI:\u003c\/strong\u003e Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.\u003c\/li\u003e  \u003cli\u003e\n\u003cstrong\u003eThreat Mitigation Strategies:\u003c\/strong\u003e Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.\u003c\/li\u003e  \u003cli\u003e\n\u003cstrong\u003eStrategic Execution:\u003c\/strong\u003e Maps Zero Trust principles to regulatory frameworks including NIST AI RMF, EU AI Act, DORA, and ISO 27001, and provides actionable templates for running successful Zero Trust Segmentation Workshops.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho Should Read This Book:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e  \u003cli\u003eCISOs and security architects building AI-resilient architectures\u003c\/li\u003e  \u003cli\u003eAI and data leaders embedding AI into enterprise infrastructure\u003c\/li\u003e  \u003cli\u003eRisk, compliance, and governance professionals navigating regulatory change\u003c\/li\u003e  \u003cli\u003eTechnical teams seeking secure-by-design methodologies for AI initiatives\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWhy This Matters Now:\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eAI systems are expanding faster than most organizations can govern them. The risks, ranging from operational disruption to model corruption, require proactive, architectural defenses. This book bridges the gap between AI innovation and trusted enterprise security.\u003c\/p\u003e \u003cp\u003e\u003cem\u003eSecuring AI Using Zero Trust Principles\u003c\/em\u003e delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow.\u003c\/p\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":46818959687921,"sku":"9780138363406","price":57.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9780138363406_p0.jpg?v=1776506893","url":"https:\/\/shop.barnesandnoble.com\/products\/9780138363406","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}