Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics Editors: Faisal Rehman, Inam Ullah Khan, Oroos Arshi, Shashi Kant Gupta

Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics is a cutting-edge scholarly volume that explores the fusion of artificial intelligence, data science, and cybersecurity to build resilient, future-ready information systems. Edited by leading experts Faisal Rehman, Inam Ullah Khan, Oroos Arshi, and Shashi Kant Gupta, this book offers diverse academic perspectives and technical applications aimed at transforming cyber analytics.

As part of Springer’s "Information Systems Engineering and Management" series, the book dives into advanced topics such as:

AI-powered threat detection for proactive response mechanisms

Predictive modeling for risk management and behavior analysis

Big data security frameworks that improve visibility and scalability

Ethical challenges and regulatory considerations in deploying AI security tools

Machine learning applications in anomaly detection and real-time cyber defense

Aimed at cybersecurity professionals, researchers, IT educators, and students, this volume lays out theoretical frameworks and practical case studies that address real-world challenges. Each chapter synthesizes current research, algorithmic strategies, and system designs that help safeguard digital infrastructure in increasingly complex environments.

From securing enterprise databases to defending national networks, this book equips readers with the insight and methodologies needed to innovate and lead in the ever-evolving cybersecurity landscape.