AI Security Engineering : Design, Build, and Secure Dependable AI Systems
Language: English
Published by John Wiley & Sons Inc Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Neuware - 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 scale Defend production AI applications against adversarial, emergent, and agent-driven threats Embed governance and risk controls into AI pipelines using engineering-first approaches Operate AI security in dynamic environments, including third-party and agentic systems Balance 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. …
Seller Inventory # 9781394387687
- Title
- AI Security Engineering : Design, Build, and Secure Dependable AI Systems
- Author
- Ashish Rajan
- Publisher
- John Wiley & Sons Inc Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1394387687
- ISBN 13
- 9781394387687
- Item weight
- 774 grams
- Dimensions
- 234x189x23 mm
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 scale
- Defend production AI applications against adversarial, emergent, and agent-driven threats
- Embed governance and risk controls into AI pipelines using engineering-first approaches
- Operate AI security in dynamic environments, including third-party and agentic systems
- Balance 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.
"Synopsis" may belong to another edition of this title.
About the Author
ASHISH RAJAN is a CISO and cybersecurity leader with over 15 years of experience specializing in cloud and AI security. He advises Fortune 500 and FTSE 100 organizations on cybersecurity strategy and governance for an AI-driven world. Ashish is co-host of the AI Security Podcast and host of the Cloud Security Podcast. A member of the Black Hat AI Security Advisory Board and speaker at RSA Conference, Black Hat, and other international events, he is known for translating emerging AI and cybersecurity risks into practical strategies for security leaders.
"About the title" may belong to another edition of this title.
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