Next-Generation Security and Observability with Agentic AI
Language: English
Published by Notion Press, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 37.23
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Next-Generation Security and Observability with Agentic AI examines how autonomous AI agents are redefining cybersecurity, observability, and IT operations in increasingly complex digital environments. As enterprises embrace cloud-native architectures, distributed systems, and intelligent automation, conventional monitoring and security approaches struggle to keep pace with evolving threats and operational demands. This book provides a comprehensive exploration of Agentic AI for intelligent telemetry management, behavioral analytics, predictive threat detection, root cause analysis, automated incident response, and self-healing infrastructure. It also addresses cloud-native observability, multi-cloud governance, AI security, explainability, compliance, privacy, and resilience against adversarial attacks. Through practical concepts, architectural insights, and enterprise-focused strategies, readers will learn how to design secure, reliable, and autonomous systems that enhance operational efficiency and cyber resilience. Ideal for cybersecurity professionals, DevSecOps engineers, cloud architects, AI practitioners, researchers, and graduate students, this book serves as a practical roadmap for building next-generation intelligent security and observability ecosystems.…
Seller Inventory # 9798906435194
- Title
- Next-Generation Security and Observability with Agentic AI
- Author
- Puneet Pahuja
- Publisher
- Notion Press
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 13
- 9798906435194
- Item weight
- 574 grams
- Dimensions
- 235x157x20 mm
Next-Generation Security and Observability with Agentic AI examines how autonomous AI agents are redefining cybersecurity, observability, and IT operations in increasingly complex digital environments. As enterprises embrace cloud-native architectures, distributed systems, and intelligent automation, conventional monitoring and security approaches struggle to keep pace with evolving threats and operational demands. This book provides a comprehensive exploration of Agentic AI for intelligent telemetry management, behavioral analytics, predictive threat detection, root cause analysis, automated incident response, and self-healing infrastructure. It also addresses cloud-native observability, multi-cloud governance, AI security, explainability, compliance, privacy, and resilience against adversarial attacks. Through practical concepts, architectural insights, and enterprise-focused strategies, readers will learn how to design secure, reliable, and autonomous systems that enhance operational efficiency and cyber resilience. Ideal for cybersecurity professionals, DevSecOps engineers, cloud architects, AI practitioners, researchers, and graduate students, this book serves as a practical roadmap for building next-generation intelligent security and observability ecosystems.
"Synopsis" may belong to another edition of this title.
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