Security Threat Intelligence and Automation for Modern Enterprises

Abstract

As organizations increasingly depend on digital systems and interconnected networks, the scope and sophistication of security threats have grown exponentially. The traditional methods of securing enterprise environments, based on reactive measures, have proven inadequate in mitigating the evolving landscape of cyber threats. This paper explores the integration of security threat intelligence (STI) with automation in modern enterprises to create more resilient cybersecurity frameworks. By leveraging real-time threat data, machine learning algorithms, and automated response mechanisms, organizations can proactively identify, assess, and mitigate potential security risks before they manifest into critical breaches. The first section of the paper delves into the core concepts of security threat intelligence, examining the various types of threat intelligence (e.g., tactical, operational, strategic) and their relevance to different layers of enterprise security architecture. It discusses the sources of STI, including open-source feeds, commercial threat intelligence providers, and internal security logs, and how they contribute to building a comprehensive understanding of the threat landscape.