As cyber security is becoming more and more important, organizations are turning to machine learning for threat detection and reduction. Let's take a look at how machine learning benefits cyber security. Automating Tasks The ability of machine learning (ML) to automate repetitive and time-consuming processes, such as intelligence triage, malware analysis, network log analysis, and vulnerability assessments, is a significant advantage in the field of cyber security. Organizations may complete activities more quickly and respond to risks and remediate them at a rate that would not be possible with manual human capabilities alone by integrating ML into the security process. By automating repetitive tasks, companies may simply scale up or down without changing the amount of staff required, which lowers expenses overall. AutoML (the process of automating procedures using ML) refers to the automation of repetitive development operations with a focus on increasing analyst, data scientist,...