“ML and Cybersecurity: AI for Threat Detection and Prevention” is a comprehensive guide that focuses on the critical role of Artificial Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. As cyber threats become increasingly sophisticated and frequent, traditional security methods struggle to provide adequate protection. This book addresses the growing demand for AI-powered solutions that can detect and prevent threats in real-time.

The book provides a detailed exploration of various AI and ML techniques used to enhance cybersecurity, including supervised and unsupervised learning, behavioral analysis, and predictive analytics. It explains how AI technologies help identify threats faster and more accurately, reduce human error, and streamline security processes.

Moreover, the book highlights practical applications and real-world examples, including AI-powered intrusion detection systems, automated incident response, and enhanced security information systems. Additionally, ethical considerations, privacy concerns, and challenges related to integrating AI with cybersecurity are thoroughly examined.