Fine-grained access control is essential for delivering the correct data to the right people. Data teams must ensure that users only see what they're supposed to see without slowing down development cycles or duplicating logic across dashboards, APIs, and applications. Cube Cloud's data access controls deliver a unified, governed, and scalable way to enforce data security across every data experience, including AI, BI, spreadsheets, and embedded analytics. This is achieved through query rewrite, Data Access Policies, LDAP integration, and Cube Cloud authentication, which allow organizations to centrally manage access at the row, column, and member level using flexible configuration in Cube's data model. Implementing data access controls helps keep sensitive information safe and ensures it's only used by the right people for the right reasons. Cube offers robust solutions for implementing granular security, including row-level, column-level, and member-level access control. These solutions ensure that sensitive information is only accessible to authorized users, enhancing data security and compliance within applications powered by Cube. Row-level security filters data based on user attributes, while column-level security restricts access to specific fields based on user roles or attributes. Member-level security controls the visibility of data model entities, such as cubes, views, and their members, using flexible configuration in Cube's data model. Data access policies can be used to configure these levels of security, allowing organizations to set up permissions so everyone gets the data they need for their job, but nothing more. By implementing these techniques, organizations can ensure secure, maintainable, and enterprise-ready access control strategies that protect sensitive information and meet compliance requirements.