Quickstart: On-board Azure Sentinel

In this quickstart, learn how to on-board Azure Sentinel. To on-board Azure Sentinel, you first need to enable Azure Sentinel, and then connect your data sources.

Azure Sentinel comes with a number of connectors for Microsoft solutions, available out of the box and providing real-time integration, including Microsoft 365 Defender (formerly Microsoft Threat Protection) solutions, Microsoft 365 sources (including Office 365), Azure AD, Microsoft Defender for Identity (formerly Azure ATP), Microsoft Cloud App Security, Azure Defender alerts from Azure Security Center, and more. In addition, there are built-in connectors to the broader security ecosystem for non-Microsoft solutions. You can also use Common Event Format (CEF), Syslog or REST-API to connect your data sources with Azure Sentinel.

After you connect your data sources, choose from a gallery of expertly created workbooks that surface insights based on your data. These workbooks can be easily customized to your needs.


For information about the charges incurred when using Azure Sentinel, see Azure Sentinel pricing and Azure Sentinel costs and billing.

Global prerequisites

  • Active Azure Subscription, if you don't have one, create a free account before you begin.

  • Log Analytics workspace. Learn how to create a Log Analytics workspace. For more information about Log Analytics workspaces, see Designing your Azure Monitor Logs deployment.

  • To enable Azure Sentinel, you need contributor permissions to the subscription in which the Azure Sentinel workspace resides.

  • To use Azure Sentinel, you need either contributor or reader permissions on the resource group that the workspace belongs to.

  • Additional permissions may be needed to connect specific data sources.

  • Azure Sentinel is a paid service. For more information, see About Azure Sentinel.

For more information, see Pre-deployment activities and prerequisites for deploying Azure Sentinel.

Geographical availability and data residency

  • Azure Sentinel can run on workspaces in most GA regions of Log Analytics except the China and Germany (Sovereign) regions. New Log Analytics regions may take some time to onboard the Azure Sentinel service.

  • Data generated by Azure Sentinel, such as incidents, bookmarks, and analytics rules, may contain some customer data sourced from the customer's Log Analytics workspaces. This Azure Sentinel-generated data is saved in the geography listed in the following table, according to the geography in which the workspace is located:

    Workspace geography Azure Sentinel-generated data geography
    United States
    United States
    Australia Australia
    United Kingdom United Kingdom
    Canada Canada
    Japan Japan
    Asia Pacific Asia Pacific *
    Brazil Brazil *
    Norway Norway
    Africa Africa
    Korea Korea
    Germany Germany
    United Arab Emirates United Arab Emirates
    Switzerland Switzerland

    * Single-region data residency is currently provided only in the Southeast Asia region (Singapore) of the Asia Pacific geography, and in the Brazil South (Sao Paulo State) region of the Brazil geography. For all other regions, customer data can be stored anywhere in the geography of the workspace where Sentinel is onboarded.


    • By enabling certain rules that make use of the machine learning (ML) engine, you give Microsoft permission to copy relevant ingested data outside of your Azure Sentinel workspace's geography as may be required by the machine learning engine to process these rules.

Enable Azure Sentinel

  1. Sign in to the Azure portal. Make sure that the subscription in which Azure Sentinel is created is selected.

  2. Search for and select Azure Sentinel.

    Services search

  3. Select Add.

  4. Select the workspace you want to use or create a new one. You can run Azure Sentinel on more than one workspace, but the data is isolated to a single workspace.

    Choose a workspace


    • Default workspaces created by Azure Security Center will not appear in the list; you can't install Azure Sentinel on them.


    • Once deployed on a workspace, Azure Sentinel does not currently support the moving of that workspace to other resource groups or subscriptions.

      If you have already moved the workspace, disable all active rules under Analytics and re-enable them after five minutes. This should be effective in most cases, though, to reiterate, it is unsupported and undertaken at your own risk.

  5. Select Add Azure Sentinel.

Connect data sources

Azure Sentinel ingests data from services and apps by connecting to the service and forwarding the events and logs to Azure Sentinel. For physical and virtual machines, you can install the Log Analytics agent that collects the logs and forwards them to Azure Sentinel. For Firewalls and proxies, Azure Sentinel installs the Log Analytics agent on a Linux Syslog server, from which the agent collects the log files and forwards them to Azure Sentinel.

  1. From the main menu, select Data connectors. This opens the data connectors gallery.

  2. The gallery is a list of all the data sources you can connect. Select a data source and then the Open connector page button.

  3. The connector page shows instructions for configuring the connector, and any additional instructions that may be necessary.
    For example, if you select the Azure Active Directory data source, which lets you stream logs from Azure AD into Azure Sentinel, you can select what type of logs you want to get - sign-in logs and/or audit logs.
    Follow the installation instructions or refer to the relevant connection guide for more information. For information about data connectors, see Azure Sentinel data connectors.

  4. The Next steps tab on the connector page shows relevant built-in workbooks, sample queries, and analytics rule templates that accompany the data connector. You can use these as-is or modify them - either way you can immediately get interesting insights across your data.

After your data sources are connected, your data starts streaming into Azure Sentinel and is ready for you to start working with. You can view the logs in the built-in workbooks and start building queries in Log Analytics to investigate the data.

For more information, see Data collection best practices.

Next steps

For more information, see: