Artificial Intelligence for Security

Artificial Intelligence for Security brings together a focused set of chapters on how AI is being used to support modern security work, from core methodology to practical domain-specific applications. Edited by Tuomo Sipola, Janne Alatalo, Monika Wolfmayr, and Tero Kokkonen, this volume is especially useful for readers who want a broad, research-informed view of where AI is helping—and where it still creates difficult questions.

AI, Security, and the Real-World Problems In Between

The book is arranged in three parts: methodological fundamentals of artificial intelligence, critical infrastructure protection, and anomaly detection. That structure gives the volume a clear arc: it begins with foundational questions such as safe AI, organizational cybersecurity, differential privacy, explainable AI, knowledge discovery, and deep learning robustness, then moves into applied security settings and finishes with detection-focused chapters.

What the Volume Covers

• AI and cybersecurity strategy
• Privacy and explainability in security contexts
• Robustness of deep neural networks
• Cyber-physical systems and critical infrastructure protection
• Security challenges in logistics, smart grids, mobile networks, and healthcare
• Anomaly detection in logs, event data, and IoT environments

A Broad View of Contemporary Security Use Cases

One of the strengths of this collection is its range. Rather than treating AI for security as a single narrow topic, it looks at the field from several angles: defensive monitoring, infrastructure resilience, operational security, and the practical realities of deploying AI in complex environments. The result is a volume that reflects both the promise and the constraints of current AI-driven security practice.

Who This Book Will Suit

This ebook is a strong fit for postgraduate students, researchers, and professionals working in cybersecurity, AI, data analytics, and related technical fields. It will also interest readers who want to understand how AI methods are being evaluated and applied in security-sensitive settings across industry and infrastructure domains.

Why It Stands Out

Because the chapters move from foundations to applications, the book is useful both as a reference and as a map of current research directions. It offers a practical snapshot of the state of AI for security in 2024, with enough breadth to be informative and enough technical depth to remain relevant for specialists.