Generative Artificial Intelligence for Next-Generation Security Paradigms

Santosh Kumar Srivastava, Durgesh Srivastava, Manoj Kumar Mahto, Ben Othman Soufiane, Praveen Kantha

• Publisher: Wiley-Scrivener
• Year: 2026
• Print ISBN: 9781394305643
• eBook ISBN: 9781394305667
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Fortify your digital defenses with this essential book, which provides a roadmap for moving beyond the limitations of traditional encryption by leveraging generative AI algorithms to proactively anticipate, detect, and mitigate the next generation of cyber threats in real-time.

In recent years, encryption has shown limitations as the sole safeguard against cyber threats in an increasingly interconnected world. While encryption remains a crucial component of cybersecurity, it is no longer sufficient to combat the evolving tactics of malicious actors. This book advocates for a paradigm shift towards leveraging generative AI algorithms to anticipate, detect, and mitigate emerging threats in real-time. Through detailed case studies and practical examples, the book illustrates how these AI-driven approaches can augment traditional security measures, providing organizations with a proactive defense against cyberattacks. It explores the connections between artificial intelligence and cybersecurity, exploring how generative AI technologies can revolutionize security paradigms beyond traditional encryption methods. Authored by leading experts in both AI and cybersecurity, the book presents a comprehensive examination of the challenges facing modern digital security and proposes innovative solutions grounded in generative AI. By combining theoretical frameworks with actionable insights, this book serves as a roadmap for organizations looking to fortify their defenses in an era of unprecedented cyber threats, making it an essential resource for anyone invested in the evolving landscape of cybersecurity and AI.

Table of contents

• Cover
• Table of Contents
• Title Page
• Generative Artificial Intelligence for Next-Generation Security Paradigms
• Copyright
• Preface
• 1 Introduction to Generative Artificial Intelligence
• 2 Deep Learning in Cyber Security: A Guide to Harnessing Generative AI for Enhanced Threat Detection
• 3 Cognitive Firewalls: Reinventing Cybersecurity through Generative Models
• 4 Biometric Fusion: Exploring Generative AI Applications in Multi-Modal Security Systems
• 5 Dynamic Threat Intelligence: Leveraging Generative AI for Real-Time Security Response
• 6 Cognitive Security: Integrating Generative AI for Adaptive and Self-Learning Defenses
• 7 Quantum Computing and Generative AI: Securing the Future of Information
• 8 Blockchain-Enabled Smart City Solutions: Exploring the Technology’s Evolution and Applications
• 9 Human-Centric Security: The Role of Generative AI in User Behavior Analysis
• 10 Human Centric Security: Human Behavior Analysis Based on GenAI
• 11 Machine Learning-Based Malicious Web Page Detection Using Generative AI
• 12 A Comprehensive Survey of the 6G Network Technologies: Challenges, Possible Attacks, and Future Research
• 13 RDE-GAI-IDS: Real-Time Distributed Ensemble and Generative-AI-Based Intrusion Detection System to Detect Threats in Edge Computing Networks
• 14 Leveraging Generative AI for Advanced Threat Detection in Cybersecurity
• 15 Quantum Computing and Generative AI-Securing the Future of Information
• 16 Redefining Security: Significance of Generative AI and Difficulties of Conventional Encryption
• Index
• Also of Interest
• End User License Agreement