Data Access Controls

ALTR’s data access controls allow you to define and enforce policies that determine who can access specific data and under what conditions. You can create policies at the tag level, column level, or object level to control access across Snowflake, Databricks, and OLTP data sources.

In this section

• Tag-Based Access Policy — Mask columns in query results based on tag values assigned to the columns, providing scalable policy management.
• Column-Based Access Policy — Mask column values in query results by specifying individual column names and masking rules.
• Access Management Policy — Control privileges for data objects, allowing non-technical users to manage access without relying on data engineers.
• Impersonation Policy — Configure policies that allow designated roles to impersonate other roles for data access.
• Masking Policies — Define data masking transformations that determine how query results are returned when policies are applied.
• Row-Level Access Policy — Control access to specific rows based on user roles and conditions.
• Alerts — Configure notifications and automatic blocking when policy conditions are triggered.
• Manage Access Requests — Review and manage user requests for access to governed data.
• Introducing the New UI for Policy — Learn about the updated policy management interface in ALTR.
• Custom Data Masking and Masking Extensibility — Create custom masking functions and extend ALTR’s built-in masking capabilities.