US Patent 11620526 Sensitivity classification neural network

A computing device, including a processor configured to receive a training data set including a first plurality of log entries. Each log entry of the first plurality of log entries may be associated with a tag indicating whether the log entry includes sensitive data. The processor may be further configured to train a sensitivity classification neural network using the training data set. The processor may be further configured to apply the sensitivity classification neural network to a test data set including a second plurality of log entries to obtain a first classified test data set. The processor may be further configured to apply a rule-based data sensitivity classification algorithm to the test data set to obtain a second classified test data set. Based on the first classified test data set and the second classified test data set, the processor may be further configured to modify the sensitivity classification neural network.