-_This article gives an overview of the evolution of antimalware technology, emphasizing the complexity and sophistication involved in modern endpoint protection and detection solutions and the extent of the infrastructure and processes deployed to support them. It begins by highlighting the broad range of technologies encompassed by the term "Antivirus" and traces the historical development of antimalware solutions from pre-1990s, discussing the challenges of signature-based detection and the subsequent adoption of hash-based signatures in the 2000s. The scalability challenges faced by the industry are explored, leading to the adoption of machine learning, behavioral analysis, and cloud infrastructure in the 2010s. The article concludes by exploring recent trends in the 2020s, such as the XDR, the Zero Trust Security model and the role of artificial intelligence (AI) in addressing the growing scale of new malware samples._
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