This book offers a comprehensive exploration of the integration of Artificial Intelligence in modern cybersecurity.

It covers foundational AI technologies such as machine learning, deep learning, and natural language processing, and maps them to specific cyber threats and use cases.

The book examines best practices for data collection, governance, and ethical considerations, while providing detailed techniques for building and validating AI models for threat detection, incident response, and continuous monitoring.

Future trends including automation, adversarial machine learning, and quantum computing are also discussed.

Designed for security professionals, researchers, and organizations seeking to leverage AI for enhanced cybersecurity, this guide aims to equip readers with practical insights and strategic frameworks to defend against evolving cyber threats effectively.