Data Access Intelligence & Governance

Data access governance is a process that helps teams identify security gaps and protect sensitive data against unauthorized access. It involves defining and establishing access policies and controls regarding who can access sensitive data, what least level of permissions they must be granted to carry out their job functions, and how they share it internally and externally.

Access governance and data governance are related strategies but have slightly different objectives. While access governance involves enforcing policies around sensitive data access to prevent unauthorized access, data governance involves overall data management. Data governance defines policies and procedures around the entire data lifecycle to ensure data quality, availability, reliability, and accessibility.

Access control implementation involves defining policies and procedures and enforcing best practices. It begins with a comprehensive view of the sensitive data landscape, cataloging, and classification. When data is categorized based on its sensitivity, it enables teams to prioritize areas that are high-risk and implement security controls. Based on the sensitivity of the data, the job function, and the user's needs, teams establish appropriate access controls, such as authorization, dynamic masking, and least privileged access.