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How to Embed Power BI Reports with User-Based Filtering and Access Control

Khadija Khan Oct 9, 2026 869 views

Question details

The user needs to embed Power BI reports in an internal application iframe and filter the data dynamically based on the signed-in user's agent ID, while understanding parameterized filtering and licensing requirements.

How to Embed Power BI Reports with User-Based Filtering and Access Control

Product: Microsoft Power BI
Device & OS: not provided
Scenario: Embedding dynamic data visualizations into an internal application requiring secure data access control and user-specific data views.
Observed behavior: The application needs a secure way to pass user identities to the embedded report so that users only see data corresponding to their specific agent ID.

Before you start

Before configuring your application, ensure you have administrative access to your Power BI tenant and understand your organization's Azure Active Directory authentication setup.

Solution 1Recommended

Configure Row-Level Security (RLS) and Embed Tokens

Implement Row-Level Security (RLS) in Power BI Desktop and use the Power BI Embedded API to generate secure embed tokens based on the user's agent ID.

To securely filter embedded Power BI reports by an agent ID, you should use Row-Level Security (RLS) rather than simple URL parameter filtering. RLS ensures that data access controls are enforced at the data model level, preventing users from bypassing filters.

Licensing requirements depend entirely on your setup. If you are embedding for your organization (User owns data), each viewer needs a Power BI Pro license. If embedding for your customers (App owns data), you will typically need a Power BI Embedded (A SKU) or Premium capacity.

Define RLS Roles in Power BI Desktop

Open your report in Power BI Desktop. Navigate to the 'Modeling' tab and select 'Manage roles'. Create a role that filters your data tables using the user's agent ID, often utilizing the USERPRINCIPALNAME() DAX function.

Publish and Assign Security

Publish the completed report to your workspace in the Power BI Service. Open the security settings for the dataset and assign the appropriate users or your application's Service Principal to the newly created role.

Generate the Embed Token

In your backend application logic, use the Power BI REST API to generate an embed token. When requesting this token, pass the 'EffectiveIdentity' object containing the specific agent ID and the corresponding RLS role.

Consult the Power BI Community

Because tenant configurations and licensing structures vary, visit the official Microsoft Power BI Community forums or Microsoft documentation for specialized guidance on advanced embedding scenarios and capacity planning.

Configure Row-Level Security (RLS) and Embed Tokens

Important Licensing Note: Using basic URL parameters (e.g., ?filter=Table/Field eq 'value') is not secure for access control. Always implement RLS when dealing with sensitive, user-specific data like agent IDs.

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Frequently Asked Questions

Can I use URL parameters instead of RLS for filtering embedded reports?

Yes, you can append URL filters to the embed URL (e.g., adding ?filter=Table/Field eq 'Value'). However, this is strictly for convenience and is not a secure method of access control, as users can modify the iframe source URL to see other data. RLS must be used for true access control.

Do viewers need a Power BI license if the report is embedded in an iframe?

It depends on the capacity hosting the workspace. If the workspace is on a shared capacity, every viewer needs a Power BI Pro or Premium Per User (PPU) license. If the workspace is backed by a Premium capacity (EM or P SKU) or Power BI Embedded capacity (A SKU), viewers do not need individual Pro licenses.

Where can I find the official documentation for Power BI Embedded?

You can find comprehensive guides on embedding, generating tokens, and setting up RLS in the 'Power BI Developer' section of Microsoft Learn, or by asking specific backend implementation questions in the Microsoft Power BI Community.

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