Demystifying AI and ML for Cyber–Threat Intelligence

Ming Yang, Sachi Nandan Mohanty, Suneeta Satpathy , Shu Hu

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English

Springer International Publishing AG
17 August 2025

Databases; Computer security; Network security; Artificial intelligence

Series: Information Systems Engineering and Management

Summary
Details

This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection.

Edited by: Ming Yang, Sachi Nandan Mohanty, Suneeta Satpathy, Shu Hu
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 43
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031907227
ISBN 10: 3031907221
Series: Information Systems Engineering and Management
Pages: 628
Publication Date: 17 August 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active