Artificial Intelligence in Cybersecurity

Artificial Intelligence in Cybersecurity: A Comprehensive Textbook (2026) by Dr. Ramya Vani Rayala is a ten-chapter academic resource bridging AI and modern cybersecurity practice. It begins with foundational machine learning concepts before progressing through increasingly specialized domains: AI-powered threat intelligence platforms, intrusion and anomaly detection systems, malware analysis and classification, and vulnerability management. The book then covers SOC automation, adversarial AI and AI-augmented attacks, and security challenges in cloud, IoT, and operational technology environments. Later chapters address AI's role in digital forensics and incident response. The final chapter looks ahead to regulatory frameworks, next-generation defenses, and the intersection of quantum computing with AI security. Written for advanced undergraduates, graduate researchers, and security professionals, each chapter pairs theoretical foundations with practical implementation guidance, case studies, and review questions. The core thesis is clear: as cyber threats grow in volume and sophistication, AI has shifted from an experimental advantage to an operational necessity for security teams.