System and Method for Real-Time Sensitivity Assessment and Management in Digital Communication Platforms

Abstract

A method for real-time sensitivity assessment in a digital communication platform that includes receiving data inputs from one or more sources in one or more formats, pre-processing the received data inputs to normalize the data inputs, analyzing the pre-processed data inputs with a natural language processing (NLP) algorithm to determine sensitive information included in the data inputs, running a machine learning model on the sensitive information to determine a sensitivity level of the sensitive information based on context and sentiment of the sensitive information, generating sensitivity tags based on the determined sensitivity level, assigning the generated sensitivity tags to corresponding data inputs of the received data inputs, dynamically adjusting access permissions for users based on the assigned sensitivity tags, roles of the users, and contextual factors, and granting or denying access to the sensitive information based on the dynamically adjusted access permissions.

CPC Classifications