Smart datastore selection for protection engines based on uncertainty quantification

A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:

• for each datastore in a group of datastores:
• collecting data;
• clustering the data based on parameters;
• based on the clustering, applying one of two different mutually exclusive labels to the datastore based on a determination of whether or not a protection engine is to be deployed to protect the data;
• performing a credibility assessment with respect to the data, and assigning a credibility score to each dataset by determining whether or not the parameters are related to health of each dataset;
• applying an uncertainty quantifier to determine, for the datastore, a confidence level that the label assigned to the datastore is correct;
• ranking the datastores of the group of datastores according to respective label and confidence level;
• and
• presenting, to a user, a list that includes whichever of the datastores has a highest confidence level.