Evolution of Endpoint Detection and Response (EDR) in Cyber Security: A Comprehensive Review

Abstract

Endpoint Detection and Response (EDR) solutions are pivotal in modern cybersecurity strategies, enabling organizations to detect, investigate, and respond to cyber threats effectively. This detailed examination of EDR technology traces its development from inception to its current state. It delves into the core concepts of EDR, highlighting its importance in endpoint security and threat identification. The document explores the historical background and driving forces behind EDR's advancement, emphasizing technological progressions like machine learning, behavioral analytics, and threat intelligence that enhance EDR capabilities. It also addresses challenges faced by EDR solutions, such as scalability, performance issues, and evasion tactics by sophisticated adversaries. Through case studies and industry trends analysis, the paper showcases EDR's efficacy in combating cyber threats and its integration into broader cybersecurity frameworks. Furthermore, it discusses the future outlook of EDR technology, considering the impact of emerging technologies like artificial intelligence, automation, and decentralized architectures. By consolidating insights from academic studies, industry analyses, and practical applications, this paper provides a comprehensive overview of the evolution of EDR in cybersecurity.