In view of the rapid development of cyber threats, artificial intelligence (AI) has become a crucial factor in cybersecurity. This book explores the intersection of AI and cybersecurity, offering a comprehensive analysis of AI-powered techniques for detecting, preventing, and mitigating cyber threats.

The book covers topics such as machine learning-based anomaly detection, deep learning for threat intelligence, and AI-driven intrusion detection systems, highlighting the benefits and challenges of AI in securing networks, cloud systems, and IoT environments.

It addresses hostile attacks, ethical considerations, and future trends, providing insights into how AI is transforming cybersecurity. This book is aimed at researchers, security experts, and AI enthusiasts, offering a blend of theoretical concepts, real-world case studies, and practical applications to equip readers with the knowledge needed to develop AI-powered security solutions.