TUOMO SIPOLA, JANNE ALATALO, MONIKA WOLFMAYR, AND TERO KOKKONEN, EDS., ARTIFICIAL INTELLIGENCE FOR SECURITY: ENHANCING PROTECTION IN A CHANGING WORLD, CHAM: SPRINGER NATURE, 2024, 307 P., ISBN 978- 3031574511

This review critically examines Artificial Intelligence for Security: Enhancing Protection in a Changing World edited by Tuomo Sipola, Janne Alatalo, Monika Wolfmayr, and Tero Kokkonen, published in Springer Nature, in 2024. Structured in three parts: “Methodological Fundamentals”, “Critical Infrastructure Protection”, and “AI for Anomaly Detection”, the volume brings together theoretical insights and applied studies to explore how AI enhances security systems. Part I engages with foundational concepts such as differential privacy, explainable AI, and adversarial robustness. Part II presents sector-specific applications ranging from logistics and smart grids to healthcare systems. Part III demonstrates AI’s utility in real-time anomaly detection, providing empirical results on web-attack detection, log analysis, and Internet of Things (IoT) intrusion modeling. The book’s strengths lie in its interdisciplinary approach, ethical framing, and strong emphasis on real-world applications. Case studies such as the use of fuzzy logic in smart grids and hybrid models for IoT defense underscore the book’s practical relevance. However, limitations include a narrow domain scope (with less attention to areas like financial or defense security), minimal engagement with geopolitical dynamics, and overly technical vocabulary that may limit accessibility for non-specialist readers. Despite these constraints, the volume makes a substantial contribution to the field, integrating technical precision analysis with policy-aligned ethics, offering a valuable resource for cybersecurity researchers, practitioners, and policy architects concerned with building reliable AI-enabled systems.