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Sensitivity labels provide a simple way for users to classify critical content in Power BI without compromising productivity or the ability to collaborate. Before applying the sensitivity labels in PBI Service or PBI Desktop, we need to create different sensitivity labels and their descriptions in Microsoft Purview Portal according to the organization's policies.
As of February 2025, the classic Microsoft Purview compliance portal (https://compliance.microsoft.com) has been retired and now redirects to the new purview portal (https://purview.microsoft.com). To create and manage sensitivity labels, users need permissions such as Compliance Data Administrator, Compliance Administrator, or Security Administrator.
Below are the steps to create sensitivity labels:
Navigate to https://purview.microsoft.com and sign in with the necessary admin credentials.
On the Sensitivity labels page, select + Create a label to start the new sensitivity label configuration.
Publish Sensitivity Label:
Now we have created the labels, the next step is to publish them so that users can apply them to their content.
After publishing the label policy, navigate back to Power BI. Under Information Protection, enable the toggle button and click Apply to activate the sensitivity labels in Power BI.
Applying Sensitivity Labels to a Report
Before applying sensitivity labels, we need to consider below requirements :
Once the above requirements are satisfied, we can apply sensitivity labels by following the below steps.
Below image shows the sensitivity label for a dashboard to Highly Confidential\Any User (No Protection)
Apply Sensitivity Labels to a Semantic Model
How to identify the sensitivity label of a report or semantic model?
Once sensitivity label is applied for a report, we can view them under the sensitivity column in the list view of dashboards, reports, semantic models, and dataflows.
This shows how the data is being categorized into different sensitivity labels and thus preventing unauthorized data access. It is also important to note that when labeled data leaves Power BI, either via export to Excel, PowerPoint, PDF, .pbix files, or via other supported export scenarios such as Analyze in Excel or live connection PivotTables in Excel, Power BI automatically applies the label to the exported file and protects it according to the label's file encryption settings.This way our sensitive data can remain protected, even when it leaves Power BI.
Summary
Labeling our data correctly with sensitivity labels ensures that only authorized individuals can access sensitive information, protecting it from misuse or unauthorized sharing. These labels classify data based on its confidentiality level, such as public, internal, or highly confidential, and enforce appropriate restrictions accordingly.
Sensitivity labels play a crucial role in maintaining compliance with organizational and regulatory policies, safeguarding data during sharing, and ensuring secure collaboration across teams. By implementing these labels, organizations gain improved control, visibility, and security for their critical data assets while promoting responsible data handling practices.
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