Isbn: 9781394387687 - ai security engineering: design, build, and secure dependable ai systems: design, build, and secure dependable ai systems (20 risultati)

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Paperback or Softback. Condizione: New. AI Security Engineering: Design, Build, and Secure Dependable AI Systems. Book.

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

Condizione: New.

Paperback. Condizione: New. Design, Build, and Secure Dependable AI Systems Across the Enterprise Lifecycle AI is rapidly becoming part of core enterprise systems but most security programs were not designed for systems that are probabilistic, adaptive, and increasingly autonomous. AI Security Engineering provides a foundational, engineering-first playbook for designing, operating, and scaling secure AI systems across the enterprise lifecycle. Written by Ashish Rajan, a CISO advising Fortune 500 organizations on AI security, this book focuses on security for AI systems not AI used as a security tool. It examines how AI changes traditional security assumptions and how organizations must adapt their architectures, pipelines, governance models, and operating practices to manage AI risk effectively in production environments. Rather than focusing on tools or point solutions, AI Security Engineering applies security engineering principles to modern AI systems. It covers AI threat models, secure AI pipelines, runtime detection and incident response, governance and compliance at scale, and the emerging challenges of agentic and multi-model systems. Readers are guided through how to evolve existing security programs to support AI-enabled applications without slowing delivery or becoming the "department of no". This book shows how to: Design and operate secure AI systems across their full lifecycle from architecture and delivery to operations and scaleDefend production AI applications against adversarial, emergent, and agent-driven threatsEmbed governance and risk controls into AI pipelines using engineering-first approachesOperate AI security in dynamic environments, including third-party and agentic systemsBalance regulatory compliance, system performance, and engineering velocity CISOs seeking strategic clarity for AI security investments, security architects designing resilient systems, and engineers responsible for operating AI in production will find this book a durable reference for building dependable AI systems at enterprise scale.…

Condizione: new.

Paperback. Condizione: new. Paperback. Design, Build, and Secure Dependable AI Systems Across the Enterprise Lifecycle AI is rapidly becoming part of core enterprise systems but most security programs were not designed for systems that are probabilistic, adaptive, and increasingly autonomous. AI Security Engineering provides a foundational, engineering-first playbook for designing, operating, and scaling secure AI systems across the enterprise lifecycle. Written by Ashish Rajan, a CISO advising Fortune 500 organizations on AI security, this book focuses on security for AI systems not AI used as a security tool. It examines how AI changes traditional security assumptions and how organizations must adapt their architectures, pipelines, governance models, and operating practices to manage AI risk effectively in production environments. Rather than focusing on tools or point solutions, AI Security Engineering applies security engineering principles to modern AI systems. It covers AI threat models, secure AI pipelines, runtime detection and incident response, governance and compliance at scale, and the emerging challenges of agentic and multi-model systems. Readers are guided through how to evolve existing security programs to support AI-enabled applications without slowing delivery or becoming the department of no. This book shows how to: Design and operate secure AI systems across their full lifecycle from architecture and delivery to operations and scaleDefend production AI applications against adversarial, emergent, and agent-driven threatsEmbed governance and risk controls into AI pipelines using engineering-first approachesOperate AI security in dynamic environments, including third-party and agentic systemsBalance regulatory compliance, system performance, and engineering velocity CISOs seeking strategic clarity for AI security investments, security architects designing resilient systems, and engineers responsible for operating AI in production will find this book a durable reference for building dependable AI systems at enterprise scale. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: New.

Condizione: New.

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

Condizione: New. 2026. 1st Edition. paperback. . . . . .

Paperback. Condizione: Brand New. 368 pages. 7.30x0.80x9.10 inches. In Stock.

Condizione: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: Brand New. 368 pages. 7.30x0.80x9.10 inches. In Stock.

Paperback. Condizione: new. Paperback. Design, Build, and Secure Dependable AI Systems Across the Enterprise Lifecycle AI is rapidly becoming part of core enterprise systems but most security programs were not designed for systems that are probabilistic, adaptive, and increasingly autonomous. AI Security Engineering provides a foundational, engineering-first playbook for designing, operating, and scaling secure AI systems across the enterprise lifecycle. Written by Ashish Rajan, a CISO advising Fortune 500 organizations on AI security, this book focuses on security for AI systems not AI used as a security tool. It examines how AI changes traditional security assumptions and how organizations must adapt their architectures, pipelines, governance models, and operating practices to manage AI risk effectively in production environments. Rather than focusing on tools or point solutions, AI Security Engineering applies security engineering principles to modern AI systems. It covers AI threat models, secure AI pipelines, runtime detection and incident response, governance and compliance at scale, and the emerging challenges of agentic and multi-model systems. Readers are guided through how to evolve existing security programs to support AI-enabled applications without slowing delivery or becoming the department of no. This book shows how to: Design and operate secure AI systems across their full lifecycle from architecture and delivery to operations and scaleDefend production AI applications against adversarial, emergent, and agent-driven threatsEmbed governance and risk controls into AI pipelines using engineering-first approachesOperate AI security in dynamic environments, including third-party and agentic systemsBalance regulatory compliance, system performance, and engineering velocity CISOs seeking strategic clarity for AI security investments, security architects designing resilient systems, and engineers responsible for operating AI in production will find this book a durable reference for building dependable AI systems at enterprise scale. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: new. Paperback. Design, Build, and Secure Dependable AI Systems Across the Enterprise Lifecycle AI is rapidly becoming part of core enterprise systems but most security programs were not designed for systems that are probabilistic, adaptive, and increasingly autonomous. AI Security Engineering provides a foundational, engineering-first playbook for designing, operating, and scaling secure AI systems across the enterprise lifecycle. Written by Ashish Rajan, a CISO advising Fortune 500 organizations on AI security, this book focuses on security for AI systems not AI used as a security tool. It examines how AI changes traditional security assumptions and how organizations must adapt their architectures, pipelines, governance models, and operating practices to manage AI risk effectively in production environments. Rather than focusing on tools or point solutions, AI Security Engineering applies security engineering principles to modern AI systems. It covers AI threat models, secure AI pipelines, runtime detection and incident response, governance and compliance at scale, and the emerging challenges of agentic and multi-model systems. Readers are guided through how to evolve existing security programs to support AI-enabled applications without slowing delivery or becoming the department of no. This book shows how to: Design and operate secure AI systems across their full lifecycle from architecture and delivery to operations and scaleDefend production AI applications against adversarial, emergent, and agent-driven threatsEmbed governance and risk controls into AI pipelines using engineering-first approachesOperate AI security in dynamic environments, including third-party and agentic systemsBalance regulatory compliance, system performance, and engineering velocity CISOs seeking strategic clarity for AI security investments, security architects designing resilient systems, and engineers responsible for operating AI in production will find this book a durable reference for building dependable AI systems at enterprise scale. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: 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. …

Condizione: New.

Paperback. Condizione: New. Design, Build, and Secure Dependable AI Systems Across the Enterprise Lifecycle AI is rapidly becoming part of core enterprise systems but most security programs were not designed for systems that are probabilistic, adaptive, and increasingly autonomous. AI Security Engineering provides a foundational, engineering-first playbook for designing, operating, and scaling secure AI systems across the enterprise lifecycle. Written by Ashish Rajan, a CISO advising Fortune 500 organizations on AI security, this book focuses on security for AI systems not AI used as a security tool. It examines how AI changes traditional security assumptions and how organizations must adapt their architectures, pipelines, governance models, and operating practices to manage AI risk effectively in production environments. Rather than focusing on tools or point solutions, AI Security Engineering applies security engineering principles to modern AI systems. It covers AI threat models, secure AI pipelines, runtime detection and incident response, governance and compliance at scale, and the emerging challenges of agentic and multi-model systems. Readers are guided through how to evolve existing security programs to support AI-enabled applications without slowing delivery or becoming the "department of no". This book shows how to: Design and operate secure AI systems across their full lifecycle from architecture and delivery to operations and scaleDefend production AI applications against adversarial, emergent, and agent-driven threatsEmbed governance and risk controls into AI pipelines using engineering-first approachesOperate AI security in dynamic environments, including third-party and agentic systemsBalance regulatory compliance, system performance, and engineering velocity CISOs seeking strategic clarity for AI security investments, security architects designing resilient systems, and engineers responsible for operating AI in production will find this book a durable reference for building dependable AI systems at enterprise scale.…