ORGANIZATIONAL MACHINE LEARNING FOR ALERT PROCESSING
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United States of America Patent
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Oct 24, 2024
app pub date -
Apr 19, 2023
filing date -
Apr 19, 2023
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Abstract
A computer system comprises a machine-learning (ML) platform at which prior alerts are received from endpoints during a training period and divided into a plurality of clusters, wherein each of the clusters has an associated cluster profile that specifies expected value constraints for attributes of new alerts that are determined to belong to the cluster, and wherein the ML platform is configured to: receive a first alert and then determine that the first alert belongs to a first cluster of the clusters; compare actual values of the attributes for the first alert to respective expected value constraints for the attributes specified in the cluster profile of the first cluster; determine any deviation between the actual values of the attributes and the respective expected value constraints for the attributes; and classify the first alert into one of a plurality of alert groups based on whether there is any deviation.
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