AI-Driven Threat Intelligence: Enhancing SIEM Systems for Modern Security Needs

Abstract

In an era characterized by an increasing frequency and sophistication of cyber threats, organizations are compelled to reevaluate their security strategies. Security Information and Event Management (SIEM) systems have become essential tools for real-time analysis and management of security alerts generated by applications and network hardware. However, traditional SIEM solutions often struggle with the volume of data and the evolving nature of cyber threats. This paper explores the integration of AI-driven threat intelligence into SIEM systems, highlighting its potential to enhance security operations, improve threat detection and response capabilities, and streamline the overall security management process. By leveraging machine learning and artificial intelligence, organizations can transform their SIEM solutions into proactive security frameworks, enabling them to stay ahead of emerging threats.