AI-Driven Threat Intelligence Frameworks: Revolutionizing Enterprise Cybersecurity

Editors: Pundru Chandra Shaker Reddy, Yadala Sucharitha, Thillaiarasu N

AI-Driven Threat Intelligence Frameworks: Revolutionizing Enterprise Cybersecurity

ISBN: 979-8-89881-385-7
eISBN: 979-8-89881-384-0 (Online)

Introduction

AI-Driven Threat Intelligence Frameworks: Revolutionising Enterprise Cybersecurity explores the growing role of artificial intelligence in enhancing cybersecurity across modern enterprise systems. The book focuses on intelligent, adaptive, and proactive threat detection frameworks designed to address complex and evolving cyber threats while ensuring ethical compliance and resilient digital infrastructures.

Beginning with foundational concepts of cybersecurity and AI, the book examines their integration in areas such as threat intelligence, Security Operations Centres (SOC), endpoint protection, and social network analysis. Additional topics include sentiment analysis for cyber risk, AI–blockchain integration for secure data sharing, cybersecurity in financial systems, and AI-enabled security in smart cities. The book concludes with emerging trends and future directions in next-generation cybersecurity solutions.


Key Features

  • - Comprehensive coverage of AI-driven cybersecurity frameworks.
  • - Integration of theory with real-world enterprise applications.
  • - Focus on proactive, adaptive, and explainable security systems.
  • - Coverage of SOC, endpoint security, and threat intelligence models.
  • - Insights into ethical, regulatory, and future cybersecurity trends.

Target Readership :

Researchers, postgraduate students, and professionals in AI and cybersecurity.

Foreword

In today's hyperconnected digital era, the landscape of cybersecurity is evolving at an unprecedented pace. The exponential growth of data, the increasing sophistication of cyber threats, and the dynamic nature of enterprise IT infrastructures demand innovative and intelligent defense mechanisms. Amidst this rapid transformation, artificial intelligence (AI) has emerged as a pivotal force, capable of redefining how organizations perceive, predict, and prevent security breaches.

AI-Driven Threat Intelligence Frameworks:

Revolutionizing Enterprise Cybersecurity comes at a critical time when traditional cybersecurity approaches are proving insufficient against agile and adaptive threat actors. This timely volume presents a comprehensive exploration of AI-integrated threat intelligence systems, offering deep insights into how machine learning, natural language processing, and automated reasoning are being harnessed to fortify enterprise defenses.

The contributors to this book�?"comprising eminent researchers, cybersecurity experts, and industry practitioners�?"bring together theoretical foundations, cutting-edge frameworks, and practical applications that illuminate the transformative potential of AI in cybersecurity. From detecting zero-day attacks to automating incident response and enabling proactive threat hunting, the chapters collectively underscore the significance of intelligent systems in securing digital ecosystems.

What sets this book apart is not only its technical depth but also its forward-looking vision. It anticipates the challenges and opportunities that lie ahead, providing readers with both conceptual clarity and actionable strategies. Whether you are a cybersecurity professional, academician, student, or enterprise leader, this book offers invaluable knowledge that can empower your understanding and application of AI in protecting critical digital assets.

As we move toward an increasingly digital future, embracing AI-driven cybersecurity frameworks is not merely an option??"it is an imperative. I commend the editors and authors for their meticulous effort in compiling this insightful volume, which will undoubtedly serve as a cornerstone reference for years to come.

Dr. Vivekanand A
Department of Computer Science and Engineering
CMR College of Engineering and Technology
Hyderabad, India