Abstract: Methods and systems for identity governance that provide for the identification of common or unique access items (e.g., identity management artifacts that may grant access). Certain embodiments may leverage representative data structures that represent an enterprise's identity management data to determine common or unique identity management access items represented in those data structures. In other embodiments, a machine learning model may be trained based on identity management data and utilize predictive scores to determine common or unique identity management access items.

Abstract: Systems and methods for embodiments of graph based and machine learning artificial intelligence systems for generating access item recommendations in an identity management system are disclosed. Embodiments of the identity management systems disclosed herein may utilize a graph based approach, a machine learning based approach, and hybrid combinations thereof for generating access item recommendations.

Abstract: Systems and methods for embodiments of graph based and machine learning artificial intelligence systems for generating access item recommendations in an identity management system are disclosed. Embodiments of the identity management systems disclosed herein may utilize a graph based approach, a machine learning based approach, and hybrid combinations thereof for generating access item recommendations.

Abstract: Systems and methods for embodiments of graph based and machine learning artificial intelligence systems for generating access item recommendations in an identity management system are disclosed. Embodiments of the identity management systems disclosed herein may utilize a graph based approach, a machine learning based approach, and hybrid combinations thereof for generating access item recommendations.