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September 10, 2025

Automated Data Governance and Compliance Monitoring using AI & Big Data

Key Points

A 40% reduction in audit preparation hours demonstrates efficiency improvements from automation.
Compliance monitoring techniques resulted in a 35% decrease in policy violations across data management.
Automated data governance methods like policy-as-code significantly lower operational costs by 28% post-optimization.
AI-driven architecture enables continuous controls monitoring, vital for keeping up with global privacy regulations.

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

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