The Custom MPE Rules Using Regular Expression course is a two-day class that teaches users best-practices for using regular expressions to create Message Processor Engine (MPE) rules. Learn how LogRhythm processes raw data into a structured and contextualized form in order to create customized MPE rules.
Reducing the time to detect and respond to threats largely determines an organization’s ability to avoid damaging cyber incidents. The Threat Detection with AI Engine course is designed to help your organization utilize additional capabilities of LogRhythm to increase your level of Security Intelligence maturity. This advanced AI Engine course will provide you with the information necessary to utilize more complex AIE Rules and to configure advanced deployment options for AI Engine components. Upon completion of this course you will have the knowledge to install and configure Threat Detection Modules in your environment.
The NetMon for Analysts course is a half-day class that reinforces the steps taken during Threat Lifecycle Management (TLM) to reduce the mean-time-to-detect (MTTD) and mean-time-to-respond (MTTR) to threats. Security analysts develop practical hands-on application of the features and functionality of the LogRhythm Network Monitor tool needed to perform Threat Lifecycle Management.