Next-Generation Security and Observability with Agentic AI

Puneet Pahuja

ISBN 13: 9798906435187

Published by Notion Press, 2026

About this Item

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 # 9798906435187

Bibliographic Details

• Title: Next-Generation Security and Observability with Agentic AI
• Publisher: Notion Press
• Publication Date: 2026
• Language: English
• ISBN 13: 9798906435187
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 15D millimeters 229 millimeters width by 152 millimeters height by 15 millimeters depth
• Weight: 424 grams

About this title

Synopsis

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.