Abstract: A method implemented by a data processing system for dynamically and automatically guiding a machine learning model in generating a rule from natural language content by controlling the machine learning model to select from candidates that will enable the rule to operate efficiently includes: receiving, by a data processing system, natural language content specifying one or more criteria, identifying candidates for generating a rule representing at least one of the criteria specified by the natural language content, providing the identified candidates and at least a portion of the natural language content to a machine learning model, receiving an indication of at least one of the candidates selected by the machine learning model, generating the rule using the at least one of the candidates selected by the machine learning model, and storing, in a data store, the generated rule.

Abstract: Techniques for managing access privileges in a data processing system include obtaining a plurality of rules for granting and/or denying privileges to a first actor to perform at least one action on a first instance of a first data entity of data entities; identifying, from among attributes of the first data entity, a first attribute whose values are used by one or more of the plurality of rules; obtaining, from a user or from at least one data store, a first value of the first attribute; identifying, using the first value and from among the plurality of rules, a first rule that depends on the first value; generating a graphical user interface (GUI) including a visual rendering of at least some of the plurality of rules, the visual rendering emphasizing the first rule identified using the first value of the first attribute; and displaying the generated GUI to the user.