1. A method, comprising: for each of a plurality of entities, receiving a set of variables that are indicative of attributes of an entity; comparing the sets of variables for the plurality of entities to each other; locating clusters of similar variables shared between two or more of the plurality of entities; determining a probable maximum loss for the plurality of entities that share the clusters, the probable maximum loss comprising a loss value attributed to a cyber event against one or more of the shared variables; receiving, using a processor coupled to a memory, feedback from an end user in response to providing the probable maximum loss to the end user; automatically converting, using the processor and in response to the feedback, the probable maximum loss to an updated probable maximum loss; and providing one or more actions to the end user based on the probable maximum loss and the clusters of similar variables, enactment by the end user of at least one of the one or more actions decreasing the probable maximum loss; the providing of one of the one or more actions comprising providing the end user with a list of a subset of entities of the plurality of entities that, if the subset of entities was removed from the plurality of entities, the probable maximum loss is lowered.