ISBN: 9780138363413 - securing generative ai, llms, and ml using zero trust architecture (27 résultats)

Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. Securing AI Using Zero Trust Principles Strategic Guidance for Defending AI Systems in a Rapidly Evolving Threat Landscape Artificial 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. Zero 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. Key insights include AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories.Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.Strategic Execution: 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. Who Should Read This Book: CISOs and security architects building AI-resilient architecturesAI and data leaders embedding AI into enterprise infrastructureRisk, compliance, and governance professionals navigating regulatory changeTechnical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow.…

Paperback. Etat : new. Paperback. Securing AI Using Zero Trust Principles Artificial intelligence is reshaping industries, driving innovation in critical sectors such as healthcare, finance, energy, and government. Yet, as organisations integrate AI into business operations, they inherit new risks, many of which conventional security models fail to address. Adversaries are weaponising AI to automate reconnaissance, bypass defenses, and exploit vulnerable systems. The solution is not more trust, but less. Zero 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 organisations to secure data pipelines, mitigate emergent threats, and maintain control over evolving digital ecosystems. Key insights include AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories.Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.Strategic Execution: 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. Who Should Read This Book: CISOs and security architects building AI-resilient architecturesAI and data leaders embedding AI into enterprise infrastructureRisk, compliance, and governance professionals navigating regulatory changeTechnical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI systems are expanding faster than most organisations 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Etat : New.

Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Paperback / softback. Etat : New. New copy - Usually dispatched within 2 working days.

Etat : New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Etat : As New. Unread book in perfect condition.

Etat : New. Brand new! Please provide a physical shipping address.

Etat : new.

Paperback. Etat : New. Securing AI Using Zero Trust Principles Strategic Guidance for Defending AI Systems in a Rapidly Evolving Threat Landscape Artificial 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. Zero 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. Key insights include AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories.Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.Strategic Execution: 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. Who Should Read This Book: CISOs and security architects building AI-resilient architecturesAI and data leaders embedding AI into enterprise infrastructureRisk, compliance, and governance professionals navigating regulatory changeTechnical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow.…

paperback. Etat : New. Special order direct from the distributor.

Etat : New.

Etat : New. In English.

Paperback. Etat : Brand New. 704 pages. 7.38x1.40x9.20 inches. In Stock.

Etat : New.

Paperback. Etat : Brand New. 704 pages. 7.38x1.40x9.20 inches. In Stock.

Etat : NEW.

Paperback. Etat : new. Paperback. Securing AI Using Zero Trust Principles Artificial intelligence is reshaping industries, driving innovation in critical sectors such as healthcare, finance, energy, and government. Yet, as organisations integrate AI into business operations, they inherit new risks, many of which conventional security models fail to address. Adversaries are weaponising AI to automate reconnaissance, bypass defenses, and exploit vulnerable systems. The solution is not more trust, but less. Zero 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 organisations to secure data pipelines, mitigate emergent threats, and maintain control over evolving digital ecosystems. Key insights include AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories.Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.Strategic Execution: 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. Who Should Read This Book: CISOs and security architects building AI-resilient architecturesAI and data leaders embedding AI into enterprise infrastructureRisk, compliance, and governance professionals navigating regulatory changeTechnical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI systems are expanding faster than most organisations 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Taschenbuch. Etat : Neu. Neuware - Securing AI Using Zero Trust Principles Strategic Guidance for Defending AI Systems in a Rapidly Evolving Threat Landscape Artificial 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. Zero 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. Key insights include - AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact. - Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories. - Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment. - Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry. - Strategic Execution: 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. Who Should Read This Book: - CISOs and security architects building AI-resilient architectures - AI and data leaders embedding AI into enterprise infrastructure - Risk, compliance, and governance professionals navigating regulatory change - Technical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow. …

Paperback. Etat : New. Securing AI Using Zero Trust Principles Strategic Guidance for Defending AI Systems in a Rapidly Evolving Threat Landscape Artificial 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. Zero 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. Key insights include AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories.Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.Strategic Execution: 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. Who Should Read This Book: CISOs and security architects building AI-resilient architecturesAI and data leaders embedding AI into enterprise infrastructureRisk, compliance, and governance professionals navigating regulatory changeTechnical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow.…

Paperback. Etat : New. Securing AI Using Zero Trust Principles Strategic Guidance for Defending AI Systems in a Rapidly Evolving Threat Landscape Artificial 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. Zero 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. Key insights include AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories.Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.Strategic Execution: 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. Who Should Read This Book: CISOs and security architects building AI-resilient architecturesAI and data leaders embedding AI into enterprise infrastructureRisk, compliance, and governance professionals navigating regulatory changeTechnical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow.…

Paperback. Etat : new. Paperback. Securing AI Using Zero Trust Principles Artificial intelligence is reshaping industries, driving innovation in critical sectors such as healthcare, finance, energy, and government. Yet, as organisations integrate AI into business operations, they inherit new risks, many of which conventional security models fail to address. Adversaries are weaponising AI to automate reconnaissance, bypass defenses, and exploit vulnerable systems. The solution is not more trust, but less. Zero 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 organisations to secure data pipelines, mitigate emergent threats, and maintain control over evolving digital ecosystems. Key insights include AI Through a Security Lens: Demystifies machine learning, generative AI, and large language models with a focus on operational and business impact.Zero Trust Foundations: Provides a historical and architectural overview of Zero Trust, including Cisco's Five Zero Trust Categories.Security by Design for AI: Offers guidance on protecting AI development workflows, from data ingestion and model training to inference and deployment.Threat Mitigation Strategies: Addresses adversarial AI, data poisoning, shadow AI, and insider misuse through identity enforcement, segmentation, and telemetry.Strategic Execution: 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. Who Should Read This Book: CISOs and security architects building AI-resilient architecturesAI and data leaders embedding AI into enterprise infrastructureRisk, compliance, and governance professionals navigating regulatory changeTechnical teams seeking secure-by-design methodologies for AI initiatives Why This Matters Now: AI systems are expanding faster than most organisations 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. Securing AI Using Zero Trust Principles delivers the strategic playbook for building resilient, trustworthy, and standards-aligned AI systems that can withstand the threats of today and tomorrow. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …