The Impact of AI on Cybersecurity Evolution: Exploring Fundamentals and Recent Trends

Bys: Thakur, Kutub and Pathan, Al-Sakib Khan

This book provides an in-depth exploration of the dynamic intersection between machine learning and cybersecurity, offering a detailed analysis of how these technologies are reshaping the security landscape. It tracks the significant progress of machine learning in the context of cybersecurity, providing insights into the latest advancements, emerging trends, and the challenges ahead. Crafted with a discerning audience in mind, this work is a valuable resource for academic researchers, industry practitioners, and students alike. It is particularly suitable for those with an interest in understanding the transformative role machine learning plays in modern cybersecurity. In a world where cybersecurity threats are constantly evolving, this book provides a well-structured introduction to the emerging technologies, their applications, and their potential to revolutionize how we protect digital assets. Readers will gain a comprehensive understanding of machine learning techniques and their application to real-world cybersecurity problems, ensuring they are well-equipped to tackle the complex challenges of the field. This book is designed to serve as an essential resource for teaching at both undergraduate and graduate levels. It also functions as a comprehensive reference for professionals and researchers in the field.

• Format: Hardcover
• Language: English
• ISBN: 303230234X
• ISBN13: 9783032302342
• Release Date: July 2026
• Publisher: Springer
• Length: 265 Pages