AI-Driven Threat Intelligence Frameworks

Revolutionizing Enterprise Cybersecurity

Pundru Chandra Shaker Reddy, Yadala Sucharitha, Thillaiarasu N

• Publisher: Bentham Science Publishers
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798898813840
• Subtopic: Cyber Security
• Index: Computer Science

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

Table of contents

• Table of Content
• Welcome
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• FOREWORD
• PREFACE
• List of Contributors
• Cybersecurity in the Digital Age: Applications, Opportunities, Challenges, and Future Directions
• Introduction to AI: Concepts, History, and Applications
• Strategic Integration of AI in Modern Cybersecurity Frameworks
• Enhancing Cybersecurity in AI-Driven Environments: The Role of English Language Proficiency
• Leveraging Social Networks for Cyber Threat Intelligence: Attack Trends, Cybersecurity Threat Detection Challenges, AI-Based Solutions, and Potential Opportunities in X
• Securing The Digital Frontier: A Comprehensive Guide to Modern Security Operations Centers (SOC)
• ML-based Endpoint Security: Advancing from Reactive Defense to Proactive Protection
• Sentiment Analysis with AI: Approaches, Datasets, Applications, Limitations, Challenges, and Future Directions
• Leveraging Artificial Intelligence and Blockchain: Feasibility of Integration, Research Issues, Applications, Challenges, and Future Directions
• AI-Driven Cybersecurity Framework for SRI Funds: Ensuring Ethical Compliance and Risk Mitigation
• Security in Smart Cities: Applications, Advances, Practices, Research Challenges, and Future Trends
• AI for Next Generation: Emerging Trends and Future Directions