Automated Data Governance and Compliance Monitoring using AI & Big Data

Authors: Ujjawal Nayak

DOI: https://doi.org/10.37082/IJIRMPS.v13.i4.232652

Short DOI: https://doi.org/g9t99x

Country: United States

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Abstract: Global privacy mandates—GDPR, CCPA, FCRA, HIPAA—now cover petabyte-scale, multi-cloud data estates. Spreadsheets and quarterly audits can no longer track schema drift or regional rule changes. This paper presents an AI-driven reference architecture that automates data discovery, classification, policy-as-code enforcement, and continuous controls monitoring (CCM). A real-world marketing analytics case study shows a 40 % cut in audit-preparation hours, a 35 % fall in policy violations, and a 53 % drop in the mean-time-to-remediate, reducing data-warehouse costs by 28 % after a targeted migration and optimization program

Keywords: data governance, compliance monitoring, AI, big data, policy-as-code, metadata catalog, continuous controls monitoring.

Paper Id: 232652

Published On: 2025-07-25

Published In: Volume 13, Issue 4, July-August 2025

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