Abstract: In example embodiments, a server stores, in one or more data repositories, a plurality of files that are accessible to a first user of a client device. The server computes, for each file in the plurality of files, a score representing a likelihood that the first user will access the file. The server determines that, for one or more files from the plurality of files, the score exceeds a threshold. The server caches the one or more files in a local cache memory of the client device in response to determining that the score exceeds the threshold.

Abstract: A computer-implemented technique is described herein for removing sensitive content from documents in a manner that preserves the usefulness of the documents for subsequent analysis. For instance, the technique obscures sensitive content in the documents, while retaining meaningful information in the documents for subsequent processing by a machine-learning engine or other machine-implemented analysis mechanisms. According to one illustrative aspect, the technique removes sensitive content from documents using a modification strategy that is chosen based on one or more selection factors. One selection factor pertains to the nature of the processing that is to be performed on the documents after they have been anonymized.