Logrhythm Inc.

Daniel Kaslovsky

Phillip Villella

Dean Richard Wyatte

Ben Aldrich

Dean Wyatte

A processing pipeline for supporting advanced analytics for network monitoring and information management as well as specific analytics for particular use cases. The processing pipelinetakes in system data () and pre-processes () the system data. The system data () may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipelineincludes two branches; a data modeling branch () where a model is developed for the data and a data evaluation branch () where the developed model is leveraged to evaluate live data. For certain event detection use cases, the output of the data evaluation branch () includes a score () (e.g., a threat level score) and context information for evaluating the threat.

Processing pipeline for monitoring information systems

A processing pipeline for supporting machine-learning processes for network monitoring and information management as well as specific analytics for particular use cases. The processing pipelinetakes in system data () and pre-processes () the system data. The system data () may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipelineincludes two branches; a data fitting branch () where a model is developed for the data and a data transformation branch () where the developed model is leveraged to transform live data. For certain event detection use cases, the output of the data transformation branch () includes a score () (e.g., a threat level score) and an attribution ().

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Boulder, CO, United States of America

Daniel Kaslovsky