Automated threat detection is designed to detect attacks involved with advanced malware and persevering remote access in an attempt to steal sensitive data over an extended time period. To locate these attacks, automated threat detection solutions often include capabilities such as sandboxing, behavioral analysis, automated monitoring, and other detection mechanisms.

Automated threat detection is when artificial intelligence (AI) and a subset of AI known as machine learning, is used to automate the threat detection process. The importance of this process is that algorithms will work around the clock 24/7 to find, identify and alert security personnel about suspicious or unusual network activity and malicious communications to significantly reduce the time it takes to identify a threat. This type of detection typically leverages machine learning technology to accurately assess any, and all, incoming threats to augment security teams by better prioritize alerts.