This report examines the growing complexity of governing access to sensitive enterprise data across structured and unstructured environments. It highlights risks stemming from overexposure, manual controls, and lack of visibility into who can access critical data assets. The research emphasizes the need for identity-centric data governance, integrating access certification, policy enforcement, and automated monitoring. Organizations struggle to maintain least-privilege models as data volumes grow across cloud platforms. The report advocates for centralized governance with automation and AI-driven insights to reduce risk, improve compliance, and ensure that data access decisions align with business context and regulatory obligations.

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