Automated detection is referred to when artificial intelligence (AI) and a subset of AI known as machine learning, is used to automate the detection process. The importance of this process is that algorithms will work around the clock (all day every day 24/7) to find, identify and alert security personnel about suspicious or unusual network activity and malicious communications to enhance the speed in which threats such as malware and ransomware are located.
Automated detection ensures an organization’s network is being constantly monitored and that every incoming threat is expertly identified instantly regardless of complexity. It is able to leverage machine learning technology to accurately assess any and all incoming threats to help security teams better prioritize alerts and decrease the time from detection to response dramatically. Automated detection can augment SOC teams if they are correctly implemented by reducing noise and focusing the team on the threats that matter.