System and method for predictive platforms in identity management artificial intelligence systems using analysis of network identity graphs
Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize artificial intelligence approaches for determining health indicators for the identity management state of an enterprise. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize one or more components to generate signals associated with the identity management state of an enterprise based on a network identity graph and evaluate feature spaces of these input signals from these components based on a global objective function or the like.
1. An identity management system, comprising:
a data store;
a processor;
a non-transitory, computer-readable storage medium, including computer instructions for:
obtaining identity management data from one or more source systems in a distributed enterprise computing environment of an enterprise, the identity management data comprising data on identity management artifacts utilized in identity management in the distributed enterprise computing environment;
evaluating the identity management data to determine the identity management artifacts;
representing the identity management artifacts in an identity management data structure;
receiving input signals for the enterprise at a first time, where the input signals were determined by a set of components of the identity management system based on the identity management data structure;
determining values for a first identity management state of the enterprise at the first time based on the input signals, wherein the first identity management state comprises a feature space including a set of features associated with the set of components that determined the input signals based on the identity management data structure and the values for the first identity management state include a value for each of the set of features;
determining a health indicator of the first identity management state of the enterprise based on the values for the set of features of the first identity management state; and
presenting the health indicator for the first identity management state of the enterprise to a user of the identity management system through an interface of the identity management system.
2. The system of claim 1 , wherein at least one feature of the set of features is a dynamic feature and the value for that at least one feature is determined based on a previous value for that at least one feature from a previous time.
3. The system of claim 2 , wherein the identity management data structure is an identity graph.
4. The system of claim 3 , wherein at least one the values is determined utilizing the identity graph.
5. The system of claim 1 , wherein the health indicator is determined by applying a global objective function to the values for the set of features of the first identity management state.
6. The system of claim 5 , wherein the global objective function was determined based on a plurality of past identity management states.
7. The system of claim 1 , wherein the instructions are further for:
determining a remedial action based on the first identity management state and providing the remedial action in association with the health indicator for the first identity management state of the enterprise.
8. A method, comprising:
obtaining identity management data from one or more source systems in a distributed enterprise computing environment of an enterprise, the identity management data comprising data on identity management artifacts utilized in identity management in the distributed enterprise computing environment;
evaluating the identity management data to determine the identity management artifacts;
representing the identity management artifacts in an identity management data structure;
receiving input signals for the enterprise at a first time, where the input signals were determined by a set of components of the identity management system based on the identity management data structure;
determining values for a first identity management state of the enterprise at the first time based on the input signals, wherein the first identity management state comprises a feature space including a set of features associated with the set of components that determined the input signals based on the identity management data structure and the values for the first identity management state include a value for each of the set of features;
determining a health indicator of the first identity management state of the enterprise based on the values for the set of features of the first identity management state; and
presenting the health indicator for the first identity management state of the enterprise to a user of the identity management system through an interface of the identity management system.
9. The method of claim 8 , wherein at least one feature of the set of features is a dynamic feature and the value for that at least one feature is determined based on a previous value for that at least one feature from a previous time.
10. The method of claim 9 , wherein the identity management data structure is an identity graph.
11. The method of claim 10 , wherein at least one the values is determined utilizing the identity graph.
12. The method of claim 8 , wherein the health indicator is determined by applying a global objective function to the values for the set of features of the first identity management state.
13. The method of claim 12 , wherein the global objective function was determined based on a plurality of past identity management states.
14. The method of claim 8 , further comprising: determining a remedial action based on the first identity management state and providing the remedial action in association with the health indicator for the first identity management state of the enterprise.
15. A non-transitory computer readable medium, comprising instructions for:
obtaining identity management data from one or more source systems in a distributed enterprise computing environment of an enterprise, the identity management data comprising data on identity management artifacts utilized in identity management in the distributed enterprise computing environment;
evaluating the identity management data to determine the identity management artifacts;
representing the identity management artifacts in an identity management data structure;
receiving input signals for the enterprise at a first time, where the input signals were determined by a set of components of the identity management system based on the identity management data structure;
determining values for a first identity management state of the enterprise at the first time based on the input signals, wherein the first identity management state comprises a feature space including a set of features associated with the set of components that determined the input signals based on the identity management data structure and the values for the first identity management state include a value for each of the set of features;
determining a health indicator of the first identity management state of the enterprise based on the values for the set of features of the first identity management state; and
presenting the health indicator for the first identity management state of the enterprise to a user of the identity management system through an interface of the identity management system.
16. The non-transitory computer readable medium of claim 15 , wherein at least one feature of the set of features is a dynamic feature and the value for that at least one feature is determined based on a previous value for that at least one feature from a previous time.
17. The non-transitory computer readable medium of claim 16 , wherein the identity management data structure is an identity graph.
18. The non-transitory computer readable medium of claim 17 , wherein at least one the values is determined utilizing the identity graph.
19. The non-transitory computer readable medium of claim 15 , wherein the health indicator is determined by applying a global objective function to the values for the set of features of the first identity management state.
20. The non-transitory computer readable medium of claim 19 , wherein the global objective function was determined based on a plurality of past identity management states.
21. The non-transitory computer readable medium of claim 15 , further comprising instructions for: determining a remedial action based on the first identity management state and providing the remedial action in association with the health indicator for the first identity management state of the enterprise.