International Journal on Science and Technology

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AI and Data Governance: Enhancing Security, Privacy, and Accountability

Author(s) Ravi Sankar Thinnati Palanichamy
Country United States
Abstract The advent of artificial intelligence (AI) has spurred significant innovation in data governance, improving security, privacy, and accountability in organizations. However, gaps in standardized data governance frameworks continue to expose sensitive customer information to potential threats, hinder compliance with regulations, and impede accurate data-driven decision-making. This paper investigates the integration of AI in data governance practices, presenting a comprehensive framework designed to ensure robust access management, data compliance, and continuous monitoring. Employing methodologies inclusive of analytical techniques for identity governance, data de-identification, and systematic auditing, organizations can substantially enhance their data quality and operational efficiency. Case studies across various industries illustrate the practical applications of AI-driven data governance, highlighting improvements in data management strategies that align with modern regulatory demands. This paper contributes to the broader discourse by offering actionable insights tailored for practitioners and researchers in understanding the transformative potential of AI in establishing effective data governance.
Keywords Artificial Intelligence, Data Governance, Security, Privacy, Accountability, De-identification, Access Management, Identity Governance, Risk Mitigation, Operational Efficiency, Data Compliance
Field Engineering
Published In Volume 14, Issue 1, January-March 2023
Published On 2023-01-04
Cite This AI and Data Governance: Enhancing Security, Privacy, and Accountability - Ravi Sankar Thinnati Palanichamy - IJSAT Volume 14, Issue 1, January-March 2023. DOI 10.71097/IJSAT.v14.i1.2807
DOI https://doi.org/10.71097/IJSAT.v14.i1.2807
Short DOI https://doi.org/g899f3
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