About the Book

The edited volume “AI in Cybersecurity – Principles, Challenges, and Future Scopes” aims to offer a comprehensive and forward-looking exploration of how Artificial Intelligence (AI) is transforming the cybersecurity landscape. With cyber threats becoming increasingly sophisticated, traditional defense systems are no longer adequate. This book addresses the urgent need for intelligent, automated solutions. The edited volume “AI in Cybersecurity – Principles, Challenges, and Future Scopes” provides a comprehensive overview of how Artificial Intelligence is reshaping modern cybersecurity. As cyber threats grow more complex, traditional defenses are proving insufficient. This book highlights the growing need for intelligent, automated, and resilient security systems through the integration of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI into cybersecurity frameworks.

It covers a wide range of AI-driven applications, including intelligent threat and anomaly detection, intrusion detection, malware and phishing analysis, ransomware mitigation, risk assessment, and automated response. The book also examines next-generation security architectures and system-level innovations.

The scope further extends to interdisciplinary advances such as blockchain, federated learning, cloud and edge computing, and quantum-safe cryptography, which enable decentralized and scalable security models.