Detection of Malicious software and control using Artificial Intelligence

Abstract

Due to growing pervasiveness of malware in the contemporary digital environment, it is imperative
to establish efficient identification and management systems to protect computer systems and
networks. Conventional approaches to malware detection frequently encounter difficulties in
keeping pace with the swiftly progressing characteristics of malevolent software. However, the
emergence of artificial intelligence (AI) has unlocked fresh prospects for augmenting malware
detection and control. This article investigates the implementation of AI methodologies in malware
detection and mitigation, elucidating the benefits and obstacles connected with this strategy.