Abstract: A computer-implemented method, comprising: operationally connecting to a distributed computer system comprising a plurality of system nodes; obtaining an inventory of all data objects in the distributed computer system; collecting metadata regarding each of the data objects; based on the metadata, applying a trained classification model to assign each of the data objects into one of a set of categories of data objects, based on a predicted likelihood that each data object will be accessed within a predefined time window; generating, based on the assigning, a graphical data object summary and security configurator which allows for centrally applying differential security controls profiles to each of the categories of data objects; and using the data object summary and security configurator to apply a specified the security controls profile to a respective one of the categories, wherein the security controls profile applies to all data objects assigned to the respective category.

Abstract: A computer-implemented method, comprising: operationally connecting to a distributed computer system comprising a distributed storage, by interfacing with one or more data sources within the computer system; obtaining an inventory of all data objects in the distributed computer system; collecting metadata regarding each of the data objects; based on the metadata, generating, with respect to each of the data objects, a prediction which indicate a likelihood that the data object will be accessed by a user within a future predefined period of time; and generating and displaying a centralized graphical visualization of the predictions with respect to all of the data objects in the distributed computer system.