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Validate Users in Power Pages with Cloud Flows & Dataverse
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May 1, 2024 1:28 PM

Validate Users in Power Pages with Cloud Flows & Dataverse

by HubSite 365 about Michel Mendes [MVP]

Microsoft MVP | Senior Consultant at Avanade | Microsoft 365 | Power Platform | SharePoint

Citizen DeveloperPower PagesM365 Release

Boost Security: Use Power Pages & Cloud Flows for User Validation with Dataverse!

Key insights


  • Integration of Power Pages and Cloud Flows enables advanced user validation against Dataverse records using Contact ID, ensuring secure execution of actions.
  • Every Power Pages user corresponds to a Contact in Dataverse, allowing for precise user identification through User ID and Contact ID matching.
  • Enhanced security measures can include validating users against specific records or parameters within Dataverse to prevent unauthorized actions.
  • For added security, flows can be designed to either terminate or return specific outcomes when user validation fails, preventing misuse of the system.
  • Account-based permissions provide a secondary layer of validation, linking users to specific Accounts in Dataverse for more granular access control.

Enhancing Security in Power Pages through Advanced User Validation

Power Pages and Cloud Flows offer robust solutions for validating users based on Contact and Account IDs within Dataverse, a vital step for securing access and operations. By linking each user to a unique Contact ID in Dataverse, administrators can precisely control who can execute specific actions. This system not only enhances security but also ensures that any modifications or actions taken within Power Automate are thoroughly validated against predefined records or parameters.


Power Pages and Cloud Flows – User Validation

Power Pages and Cloud Flows offer a way to validate users against Dataverse records by using Contact ID. Michel Mendes, an MVP, highlights the importance of using Cloud Flows integration within Power Pages to manage web roles effectively. However, sometimes additional logic is necessary to prevent certain actions.

For instance, validating the Contact ID against Dataverse records ensures users have the proper rights for specific actions. Discover how to implement this in your Cloud Flows.

The process begins with the Power Pages user being mapped to a record in the Dataverse Contact table. When Power Pages calls a Flow, a User ID matching the Contact ID in Dataverse is returned, which plays a crucial role in the validation process.

  • Validating contact against records can secure actions performed against Dataverse records in Power Automate.
  • Using the Get a row by ID action to check the Contact ID against a field in a table ensures the correct user is executing actions.
  • If the user matches the correct contact ID, proceed with the desired action. Otherwise, adjust the flow to return a different response for better JavaScript handling.

Also, when validating accounts associated with the Contact, if permissions are granted by Account, retrieving the Contact record to get the Account ID allows for similar validation against the Company Name field.

In conclusion, while Power Pages web roles can initially restrict Cloud Flows usage, additional rules based on Contact and Account ID enhance security in Power Automate. Always ensure to use appropriate web roles and validations in Cloud Flows to prevent unauthorized access.

Read the full article Power Pages and Cloud Flows – Validate user against Dataverse records based on Contact ID

Power Pages - Validate Users in Power Pages with Cloud Flows & Dataverse


People also ask

How do I get by ID in Dataverse?

To retrieve a specific row by ID in Microsoft Dataverse, follow these steps: Navigate to Microsoft Dataverse and select the 'Get a row by ID' action. From the 'Table name' list, choose the 'Accounts' table. Then, input the row ID in the 'Row ID' box of the row you aim to fetch from the Accounts table. It's important to note that the Row ID column represents the unique identifier of the row being retrieved, as illustrated in the provided image.

What are the limitations of Dataverse in Powerapps?

Microsoft specifies that the initial storage capacity granted for Dataverse within Power Apps is 10GB. Additionally, each app is restricted to a maximum of 50MB.

How do I enable auditing in Dataverse?

Auditing in Dataverse can be managed by starting or stopping the auditing process for an environment and configuring the retention policy accordingly.

Can Power Automate connect to the Dataverse?

The connection between Power Automate and Microsoft Dataverse is facilitated via the CData ODBC Driver for Microsoft Dataverse. This driver allows the integration of live Microsoft Dataverse data into automated workflows created using Microsoft Power Automate Desktop, thereby enabling access to Microsoft Dataverse data within workflow automation tools like Power Automate.



Power Pages, Cloud Flows, Validate User, Dataverse Records, Contact ID, User Authentication, Dynamics 365, Custom Validation