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.