Detecting personally identifiable information (PII) in telemetry data
Abstract:
In some examples, a computing device may determine that an event occurred and determine event data associated with the event. A first machine learning classifier may be used to determine that the event data includes personally identifiable information (PII) and a second machine learning classifier may be used to remove the PII from the event data to create modified event data. The PII may include one or more of a username, a password, at least a portion of a legal name, a password, at least a portion of an address, at least a portion of a social security number, or at least a portion of an account number associated with a financial institution. The modified event data may be stored in a device data file that includes data associated with the computing device. In some cases, the computing device may send the device data file to a server.
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