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Antoine1733
Regular Visitor

Share Fabric Data Agent

Hi,

I’m trying to share a Fabric Data Agent connected only to a Lakehouse (no semantic model).

I gave:

  • Read + Execute permissions on the Lakehouse

  • access to the Data Agent itself

According to the documentation, workspace access should not be required.

However, when the target user asks a question to the agent, the agent says it cannot answer and returns this message:

“I could not access the data needed to answer your question because there is a database permission issue related to access to the customer table. This means I cannot retrieve the information about the customer with the highest consumption.”

And when opening the Data Agent, I get this error:

"PowerBINotAuthorizedException
Error retrieving workspace network security settings"

Why is the Data Agent trying to access Power BI workspace security settings if it is only connected to a Lakehouse?

Is there an additional permission required that is not documented?

Thanks.

3 REPLIES 3
Antoine1733
Regular Visitor

Thanks for the clarification 🙂

Honestly I’m still very confused about how Data Agent sharing is supposed to work. There always seems to be a permission issue somewhere.

Even for Data Agents connected to a semantic model, the required permissions are not very clear (Build? Viewer? Workspace access?).

Is there any official documentation that clearly explains all required roles depending on the scenario (Lakehouse vs semantic model, direct sharing vs workspace access, etc.)?

v-sgandrathi
Community Support
Community Support

Hi @Antoine1733,

 

Thank you @Tamanchu for your response tothe query.

we haven't heard back from you regarding our last response and wanted to check if your issue has been resolved.

Should you have any further questions, feel free to reach out.
Thank you for being a part of the Microsoft Fabric Community Forum!

Tamanchu
Continued Contributor
Continued Contributor

Hi @Antoine1733, interesting issue 🙂

From the error message, this doesn’t look like a simple Lakehouse permission problem to me.

What’s a bit confusing with Fabric Data Agents right now is that even when the agent is connected only to a Lakehouse, some operations still seem to go through internal Power BI / Fabric workspace security checks behind the scenes. That would explain why you’re seeing :

  • PowerBINotAuthorizedException
  • Error retrieving workspace network security settings

even though the user already has :

  • Read + Execute on the Lakehouse
  • Access to the Data Agent itself

According to the current documentation, workspace access shouldn’t be required when you share a data agent and grant access to the underlying Lakehouse. However, in some preview and network‑secured scenarios, Fabric still appears to evaluate workspace network settings behind the scenes, which is why testing Viewer access on the workspace is a useful diagnostic step rather than a strict requirement.

What I would personally try first :

  • Temporarily add the target user as Viewer on the workspace
  • Then retest the agent queries
  • If it suddenly works, you’ve confirmed that the blocking permission is at workspace / network‑settings level rather than at Lakehouse level

I would also check whether the workspace has :

  • Managed private endpoints
  • Network security settings
  • Tenant‑level restrictions

because these often trigger additional authorization checks in secured / preview scenarios.

So my feeling is that this is probably a current limitation or dependency in the preview implementation, where the Data Agent still relies on workspace‑level context for some security evaluations, even in a Lakehouse‑only setup. If org policy doesn’t allow permanent Viewer access, you can :

  • Keep the direct Data Agent sharing
  • Use Viewer only for troubleshooting
  • Then remove it again and raise a ticket / idea with Microsoft so they can align behavior with the documentation.

Hope this helps you narrow down the root cause 🙂
If you can share whether adding Viewer solved it (or not), that would be very useful for others hitting the same issue.

 

Docs : 

 

 

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