Effectiveness of Endpoint Detection and Response Solutions in Combating Modern Cyber Threats

Abstract

The rapid evolution of cyber threats has necessitated the adoption of advanced security technologies to protect organizations' digital assets. Endpoint Detection and Response (EDR) solutions have emerged as critical components of modern cybersecurity frameworks. EDR systems offer capabilities such as real-time monitoring, threat detection, automated response mechanisms, and forensic analysis, making them essential for combating complex cyber threats like ransomware, advanced persistent threats (APTs), and zero-day exploits. This paper explores the effectiveness of EDR solutions in addressing the dynamic landscape of cyber risks. It begins with an overview of modern cyber threats and the challenges they present to traditional security measures. The discussion then delves into the operational framework of EDR solutions, highlighting key features such as continuous endpoint monitoring, behavioral analysis, and integration with other security systems. Furthermore, the paper examines the benefits and limitations of EDR in real-world scenarios, emphasizing how these solutions complement broader cybersecurity strategies, including threat intelligence and security information and event management (SIEM) systems. Key challenges such as resource-intensive deployments, false positives, and the need for skilled personnel are also addressed. Finally, this paper underscores future directions for EDR solutions, including advancements in artificial intelligence (AI) and machine learning (ML) for enhanced threat detection. By evaluating the capabilities and limitations of EDR systems, this research aims to provide a comprehensive understanding of their role in mitigating modern cyber threats and safeguarding organizational assets.