Methods and systems for identity and access management and governance using a graph database

A system, comprising:

• an enterprise computing platform configured to:
• update a graph database based on generating one or more new nodes and one or more new edges for the graph database, wherein the one or more new nodes and the one or more new edges are associated with onboarding information for a first user;
• extract, from the updated graph database, extracted graph data for the first user comprising at least one of the one or more new nodes and at least one of the one or more new edges, wherein the at least one of the one or more new edges connects the at least one of the one or more new nodes to one or more existing nodes;
• and
• input at least a portion of the extracted graph data for the first user into one or more machine learning-artificial intelligence (ML-AI) models to obtain one or more recommended user applications,
• a user device comprising a display device and an input device, the user device configured to:
• receive, from the enterprise computing platform, the one or more recommended user applications;
• display the one or more recommended user applications on the display device;
• and
• receive, from the input device, second user input indicating approval for granting access to at least one recommended user application from the one or more recommended user application, and
• a second computing platform configured to:
• receive instructions to grant access to the at least one recommended user application.

A non-transitory computer-readable medium having processor-executable instructions stored thereon, wherein the processor-executable instructions, when executed by one or more processors, facilitate:

• updating a graph database based on generating one or more new nodes and one or more new edges for the graph database, wherein the one or more new nodes and the one or more new edges are associated with onboarding information for a first user;
• extracting, from the updated graph database, extracted graph data for the first user comprising at least one of the one or more new nodes and at least one of the one or more new edges, wherein the at least one of the one or more new edges connects the at least one of the one or more new nodes to one or more existing nodes;
• inputting at least a portion of the extracted graph data for the first user into one or more machine learning-artificial intelligence (ML-AI) models to obtain one or more recommended user applications;
• causing display of the one or more recommended user applications on a display device;
• receiving second user input indicating approval for granting access to at least one recommended user application from the one or more recommended user applications;
• and
• providing instructions to direct a second computing platform to grant access to the at least one recommended user application.