AUTOMATED THREAT DETECTION SYSTEM
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United States of America Patent
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Issued Date -
Oct 17, 2024
app pub date -
Nov 15, 2023
filing date -
Nov 15, 2023
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Abstract
Systems and methods are described for automated threat detection. For example, the system receives labels that are generated by an unsupervised machine learning model. Using the labels, the system initiates a training process of a supervised machine learning model using the set of labels from the unsupervised machine learning model. The supervised machine learning model can generate a set of clustered data during an inference process. The supervised machine learning model can be updated and stored in a model data store for future inference processes on new data.
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