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The integration of Generative Artificial Intelligence (GenAI) into digital ecosystems has initiated a paradigm shift in the way intelligence, automation, and security are conceptualized and implemented. The transformative power of GenAI lies in its capacity to create, simulate, and enhance data— moving beyond traditional computational analysis toward autonomous innovation. This evolution has redefined applications across domains, particularly in cybersecurity, where the balance between innovation and ethical responsibility has become increasingly intricate. The present edited volume, Generative Artificial Intelligence for Next- Generation Security Paradigms, serves as a scholarly endeavor to consolidate emerging research, design principles, and technological perspectives on the role of GenAI in shaping next‑generation security infrastructures. The book explores how the convergence of AI, cognitive computing, quantum technologies, and human‑centric intelligence is redefining the boundaries of secure and intelligent systems. The chapters presented in this volume have been contributed by distinguished researchers, academicians, and practitioners from leading institutions worldwide. Together, they reflect a comprehensive synthesis of theoretical advancement, methodological frameworks, and experimental validation in the application of GenAI for enhancing cybersecurity. Each chapter contributes uniquely to the evolving discourse on intelligent and adaptive security, offering insights into both opportunities and challenges inherent in this rapidly developing field. This compilation is envisioned as a reference for researchers, industry experts, and graduate scholars seeking to understand the transformative implications of GenAI on digital trust, data protection, and intelligent threat management. It also serves as a foundation for future exploration into explainable, interpretable, and ethically governed AI‑driven security systems. We extend our sincere gratitude to all contributing authors for their scholarly contributions and dedication. Our appreciation also goes to the reviewers for their constructive evaluations, and to Scrivener Publishing and John Wiley & Sons for their continued support in disseminating impactful research to the global academic community. We hope this book will serve as a valuable resource for advancing knowledge, inspiring research collaborations, and fostering the responsible adoption of Generative Artificial Intelligence in securing the digital future.