Systems and methods for identifying data processing activities based on data discovery results

A non-transitory computer-readable medium storing computer-executable instructions that, when executed by computing hardware, configure the computing hardware to perform operations comprising:

• identifying a plurality of data assets associated with a computing system;
• generating, using a first machine-learning model, first predictions for data assets of the plurality of data assets that indicate whether a given data asset is associated with target data;
• identifying a subset of data assets in the plurality of data assets associated with the target data based on the first predictions;
• generating, using a second machine-learning model, second predictions for pairs of data assets in the subset of data assets that indicate whether the target data flows between a given pair of data assets;
• identifying a data processing activity that is associated with handling the target data for the computing system based on the second predictions;
• and
• causing a performance of an action based on identifying the data processing activity is associated with handling the target data for the computing system.

A system comprising:

• a non-transitory computer-readable medium storing instructions;
• and
• a processing device communicatively coupled to the non-transitory computer-readable medium,
• wherein, the processing device is configured to execute the instructions and thereby perform operations comprising:
• identifying a subset of data assets associated with target data from a plurality of data assets;
• identifying a data processing activity that is associated with handling the target data by generating, using a machine-learning model, predictions for pairs of data assets of the subset of data assets that indicate a likelihood that the target data flows between a pair of data assets;
• and
• causing a performance of an action based on identifying the data processing activity is associated with handling the target data.