Abstract: The present disclosure relates to techniques for processing personally identifiable information (PII). The techniques may include accessing a log data storage that stores log data, wherein the log data is structured into multiple dimensions; isolating a partition of the log data in the log data storage, wherein the partition is associated with one dimension of the multiple dimensions and is associated with a first characterization of presence or absence of PII in the partition; processing, using a machine-learning (ML) based classifier and based on a model, the partition to generate a second characterization of presence or absence of PII in the partition; comparing the first characterization against the second characterization; and based on a result of the comparison, performing one or more actions.