Smart Data Governance in the Era of AI: Balancing Privacy, Security and Scalability in Database Systems

Abstract

In the era of smart data governance, scalability, privacy and data quality are facing critical challenges. This report delved deep into critically reviewing the challenges in terms of security vulnerabilities, ethical concerns, organisational resistance and privacy risks. It is identified that modular frameworks and AI-based automation are offering promises to ensure regulatory compliance, cross-functional collaboration and transparency is crucial. Mitigating such issues is holistically critical for responsible and sustainable data governance in the complicated digital ecosystems. In that case, the company requires taking strategic actions and security measures that can provide essential protection to the information as well as uphold a high trust level on the employees.