Method and apparatus for ephemeral roles implementing module

A system for implementing a machine learning model execution module for granting access to ephemeral roles, the system comprising:

• a memory;
• and
• a processor operatively connected to the memory via a communication network,
• wherein the processor is configured to:
• generate a machine learning model, the machine learning model including data related to a requester's access to one or more ephemeral roles;
• receive a request from a requester's computing device to access the one or more ephemeral roles within the machine learning model;
• determine the requester's group or role membership status within an organization;
• and
• dynamically evaluate the received request with the machine learning model in real time to grant or deny access to one or more ephemeral roles based on the membership status of the requester.

A non-transitory computer readable medium configured to store instructions for implementing a machine learning model execution module for granting access to ephemeral roles, wherein when executed, the instructions cause a processor to perform the following:

• generate a machine learning model, the machine learning model including data related to a requester's access to one or more ephemeral roles;
• receive a request from a requester's computing device to access the one or more ephemeral roles within the machine learning model;
• determine the requester's group or role membership status within an organization;
• and
• dynamically evaluate the received request with the machine learning model in real time to grant or deny access to one or more ephemeral roles based on the membership status of the requester.