Detecting personally identificable information (pii) in telemetry data

A computing device comprising:

• one or more processors;
• and
• one or more non-transitory computer readable media storing instructions executable by the one or more processors to perform operations comprising:
• determining that an event occurred on the computing device;
• determining event data associated with the event;
• determining, using a first machine learning classifier being executed by the computing device, that the event data includes personally identifiable information;
• removing, using a second machine learning classifier being executed by the computing device, the personally identifiable information from the event data to create modified event data;
• storing the modified event data in a device data file that includes data associated with the computing device;
• and
• sending the device data file to a server.

One or more non-transitory computer readable media storing instructions executable by one or more processors of a computing device to perform operations comprising:

• determining that an event occurred on the computing device;
• determining event data associated with the event;
• determining, using a first machine learning classifier being executed by the computing device, that the event data includes personally identifiable information;
• removing, using a second machine learning classifier being executed by the computing device, the personally identifiable information from the event data to create modified event data;
• storing the modified event data in a device data file that includes data associated with the computing device;
• and
• sending the device data file from the computing device to a server.