With the rapid evolution of cyber threats, Artificial Intelligence (AI) has become a game-changer in cybersecurity. This book explores the intersection of AI and cybersecurity, providing a comprehensive analysis of AI-driven techniques to detect, prevent, and mitigate cyber threats. Covering topics such as machine learning-based anomaly detection, deep learning for threat intelligence, and AI-powered intrusion detection systems, the book highlights the advantages and challenges of AI in securing networks, cloud systems, and IoT environments. It delves into adversarial attacks, ethical considerations, and future trends, offering insights into how AI is transforming cybersecurity. Designed for researchers, security professionals, and AI enthusiasts, this book provides a blend of theoretical concepts, real-world case studies, and practical applications to equip readers with the knowledge needed to develop AI-driven security solutions.

Autorentext
Dr. Usha B A presently working as Professor in BMS Institute of Technology and Management.Dr. Sangeetha K N presently working as Assistant Professor in JSS Academy of Technical Education, Bengaluru. Dr. Chaitra M is an Associate Professor at BNM Institute of Technology in Bengaluru, India.