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Sample: Audit user access

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This sample code shows how to audit user access. You can download the sample from here.

Note

This sample applies to both Dynamics 365 Customer Engagement (on-premises) and Dataverse.

How to run this sample

To obtain a local copy of all samples and build them, follow these steps:

  1. Download or clone the Samples repo so that you have a local copy.
  2. (Optional) Edit the dataverse/App.config file to define a connection string specifying the instance/organization you want to connect to.
  3. Open the sample solution in Visual Studio and press F5 to run the sample. After you specify a connection string in dataverse/App.config, any sample you run will use that connection information.

If you don't specify a connection string in dataverse/App.config file, a dialog opens each time you run the sample, and you'll need to enter information about which instance or org you want to connect to and which credentials you want to use. This dialog caches previous connections so that you can choose a previously used connection.

What this sample does

This sample first enables user access auditing with the logged on user's organization. Next, it creates and modifies an account entity so that audit records are genertated.

How this sample works

In order to simulate the scenario described in What this sample does, the sample will do the following:

Setup

  1. Checks for the current version of the org.
  2. Creates a new account entity and enables auditing on the new account entity.

Demonstrate

  1. Gets the organization's ID from the system user record and retrieves organization record.
  2. Enables auditing on the organization, including auditing for user access.
  3. Makes an update request to the account entity to be tracked by auditing.
  4. set the organization and account auditing flags back to old values and retrieve them if they were actually changed.

Clean up

Display an option to delete the records created during Setup. The deletion is optional in case you want to examine the entities and data created by the sample. You can manually delete the records to achieve the same result.