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All Tutorials /Power BI

How to Add Row-Level Security in Power BI

Updated on:
May 12, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to configure row-level security roles in Power BI Desktop.

Quick summary

Row-Level Security (RLS) in Power BI lets you restrict data access at the row level by assigning users to roles with DAX filter expressions. Setting up RLS in Power BI Desktop ensures each user sees only the data they are permitted to access when reports are published to the Power BI service.


Steps

  1. Navigate to the Modeling tab in the Power BI Desktop ribbon, where all security-related options are located.
  2. Select Manage Roles to open the management interface for creating and editing security roles.
  3. In the Manage Roles dialog box, click the + New button to create a new security role.
  4. Give your role a descriptive name that clearly indicates its purpose.
  5. Select the table that contains the data you want to filter — this is where your row-level security rules will be applied.
  6. Click Switch to DAX editor to create advanced filtering conditions using DAX expressions, giving you precise control over which rows users can access.
  7. Enter your DAX filter expression in the editor.
  8. Click Save to apply your RLS role configuration to the model and finalize your security definition.
  9. Test your setup using View As to confirm that different roles see only their permitted data.

📌 Why this matters

Row-Level Security in Power BI is a critical data governance feature that ensures sensitive business data is only visible to authorized users within a report. By configuring RLS roles with DAX filter expressions directly in Power BI Desktop, organizations can enforce precise, role-based data access without building separate reports for each audience. This reduces security risk, simplifies report management, and supports compliance requirements across teams and departments. For any organization sharing Power BI dashboards with multiple user groups, implementing RLS is an essential step toward secure, scalable data access control.
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