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What is application usage analytics?

Application usage analytics gives IT admins actionable insights into their organization's app use by analyzing traffic patterns, data usage, and which users access the app. With these analytics, admins can identify shadow IT, generative AI apps, and potential security or compliance risks. Usage analytics helps organizations increase visibility, improve their security posture, and optimize app use across their environment.

Insights and Analytics dashboard

The Insights and Analytics dashboard has three widgets:

Applications count

This widget shows the Total cloud applications, Total private applications, and the number of New discovered segments used within the selected time. To learn more about discovered segments, select the View details button to open the Application discovery page.
Screenshot of the Applications count widget with information on the total cloud and total private applications.

Usage distribution

This widget shows application usage by type, with one color for cloud and another for private applications in the selected time range. You can aggregate the view by Transactions, Bytes sent, or Bytes received.
Screenshot of the Usage distribution widget with cloud and private applications information aggregated by bytes sent.

This widget shows application usage over time, with one trend for cloud and another for private applications. You can aggregate the view by Transactions, Users, Devices, Bytes sent, or Bytes received.
Screenshot of the Applications usage trends widget showing private and cloud application usage over time.

Private application analytics

Private application analytics gives IT admins visibility and insights into their organization's private enterprise applications onboarded to Microsoft Entra by Global Secure Access. These insights include the application name, application ID, users who access the application, devices used, access type, number of transactions, traffic (bytes sent and received), and the first and last access times. Private application analytics also tracks quick access for customers who configured it.

Key capabilities

With private application analytics, you can:

  • Identify the private applications that users access. Details include Application name, Application ID, Traffic type, Access type, the number of Users, Devices, and Transactions, Sent bytes, Received bytes, Last access date, and First access date. Screenshot of a list of discovered private applications accessed by users.

Select each private application row to open a per-app insight panel with two tabs:

  • The Usage tab shows a graph with usage information, including insights into the number of transactions, the amount of traffic, and the number of users accessing the applications. Screenshot of cloud application usage statistics showing transactions over time.

  • The Users tab shows statistics about the usage of an application segment and which users are accessing it. Screenshot of a list of users who accessed the cloud application, the traffic type, and the number of transactions.

Cloud application analytics

Cloud application analytics give admins visibility and insights into the cloud applications their organization uses, including generative AI applications. These insights include the application category, risk score, number of transactions, traffic (bytes sent and received), and the users who access the applications.

This information helps admins identify generative AI applications, shadow AI applications, and shadow IT. Insights from the analytics help admins make decisions based on security and compliance status.

Key capabilities

With Cloud application analytics, you can:

  • Identify the cloud applications that users access (using the Microsoft Defender for Cloud Apps Cloud app catalog), for both internet and Microsoft 365 traffic. Details include Name, Category, Risk score, the number of Users, Sent bytes, Received bytes, Last access date, and First access date.
    Screenshot of a list of discovered cloud applications accessed by users.

  • Use the Generative AI apps only toggle to identify the generative AI applications that users access, for both internet and Microsoft 365 traffic.
    Screenshot of a list of discovered generative AI applications accessed by users.

Select each cloud application row to view a per-app insight panel across two tabs:

  • The Usage tab shows a graph with usage information, including the number of transactions, the amount of traffic, and the number of users who access the applications. Screenshot of cloud application usage statistics showing transactions over time.

  • The Users tab shows statistics about the usage of an application segment and which users access it. Screenshot of a list of users who accessed the cloud application, the traffic type, and the number of transactions.