Optimizing role level identification for resource allocation
Abstract:
Methods, systems, and processes to optimize role level identification for computing resource allocation to perform security operations in networked computing environments. A role level classifier to process a training dataset that corresponds to a clean title is generated from a subset of entities associated with the clean title. An initial effective title determined by the role level classifier based on processing the training dataset is assigned to an entity. A new effective title based on feature differences between the initial effective title and the clean title is re-assigned to the entity. Performance of the generating, the assigning, and the re-assigning is repeated using the new effective title instead of the clean title.
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