Overview

Preface Critical infrastructure systems, energy grids, transportation networks, water facilities, manufacturing plants, healthcare environments, and more, form the backbone of modern society. As these systems become increasingly interconnected through IT, OT, and IoT technologies, the cyber threat landscape has expanded in both complexity and consequence. Security teams today collect staggering volumes of logs, telemetry, alerts, and contextual intelligence, yet struggle to transform this data into meaningful insights that improve resilience. This book, Cybersecurity Analytics for Critical Infrastructure: From Logs to Resilience Measuring, Monitoring, and Managing Risk in Critical Systems, addresses that challenge by providing a structured, analytics-driven approach to understanding system behavior, assessing risk, and informing timely defensive action. Across these chapters, readers will explore the full lifecycle of cybersecurity analytics, from foundational data sources and threat modeling to detection, incident response, and ongoing operational improvement. The book emphasizes not only the technical capabilities required for monitoring and analysis, but also the governance, communication, and decision-making processes essential for safeguarding critical systems. By bridging security operations, engineering, and risk management, this work equips practitioners, analysts, and leaders with practical frameworks, conceptual clarity, and actionable metrics. The goal is simple yet vital: to empower critical infrastructure organizations to move beyond reactive security and toward measurable, data-informed cyber resilience.

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