ZONE-BASED DATABASE MANAGEMENT SYSTEMS AND METHODS FOR DATA GOVERNANCE

Abstract: systems and methods are disclosed for using ai and machine learning to generate a dataset zone by receiving a plurality of datasets and storing them in a data catalog. a first, second, third, and fourth zone are generated having various levels of policies and permissions. based on the known policies, the system trains a machine learning program to generate a trained predictive model and deploys the trained predictive model to predict a data privacy policy for a first dataset from the plurality of datasets. the predictive model further predicts a suitable zone for the first dataset based on the predicted data privacy policy and stores the first dataset in the suitable zone. the system then displays a representation of the first dataset in the suitable zone on a graphical user interface.

Inventor(s): Sunilam Chakraborty, Jatin Hansoty, Pranjal Goswami, Anirban Sharma

CPC Classification: G06N3/02 (Neural networks)

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