⚠️ 🔍 Palo Alto Networks Cortex XDR

⚠️ Unpublished: This item is from a solution that is not yet published on Azure Marketplace or not installed in Content Hub.

🔍 Discovered: This item was discovered by scanning the solution folder but is not listed in the Solution JSON file.

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Attribute Value
Connector ID PaloAltoNetworksCortex
Publisher Palo Alto Networks
Used in Solutions Palo Alto - XDR (Cortex)
Collection Method MMA
Connector Definition Files Connector_PaloAlto_XDR_CEF.json

The Palo Alto Networks Cortex XDR connector gives you an easy way to connect to your Cortex XDR logs with Microsoft Sentinel. This increases the visibility of your endpoint security. It will give you better ability to monitor your resources by creating custom Workbooks, analytics rules, Incident investigation, and evidence gathering.

Tables Ingested

This connector ingests data into the following tables:

Table Selection Criteria Transformations Ingestion API Lake-Only
CommonSecurityLog DeviceProduct == "Cortex XDR"
DeviceVendor == "Palo Alto Networks"
?

💡 Tip: Tables with Ingestion API support allow data ingestion via the Azure Monitor Data Collector API, which also enables custom transformations during ingestion.

Permissions

Resource Provider Permissions: - Workspace (Workspace): read and write permissions are required. - Keys (Workspace): read permissions to shared keys for the workspace are required. See the documentation to learn more about workspace keys.

Setup Instructions

⚠️ Note: These instructions were automatically generated from the connector's user interface definition file using AI and may not be fully accurate. Please verify all configuration steps in the Microsoft Sentinel portal.

1. Linux Syslog agent configuration

Install and configure the Linux agent to collect your Common Event Format (CEF) Syslog messages and forward them to Azure Sentinel.

Notice that the data from all regions will be stored in the selected workspace 1.1 Select or create a Linux machine

Select or create a Linux machine that Azure Sentinel will use as the proxy between your security solution and Azure Sentinel this machine can be on your on-prem environment, Azure or other clouds.

1.2 Install the CEF collector on the Linux machine

Install the Microsoft Monitoring Agent on your Linux machine and configure the machine to listen on the necessary port and forward messages to your Azure Sentinel workspace. The CEF collector collects CEF messages on port 514 TCP.

  1. Make sure that you have Python on your machine using the following command: python -version.

  2. You must have elevated permissions (sudo) on your machine. - Run the following command to install and apply the CEF collector:: sudo wget -O cef_installer.py https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/DataConnectors/CEF/cef_installer.py&&sudo python cef_installer.py {0} {1} 2. Forward Palo Alto Networks (Cortex) logs to Syslog agent

  3. Go to Cortex Settings and Configurations and Click to add New Server under External Applications.

  4. Then specify the name and Give public IP of your syslog server in Destination.

  5. Give Port number as 514 and from Facility field select FAC_SYSLOG from dropdown.

  6. Select Protocol as UDP and hit Create.

3. Validate connection

Follow the instructions to validate your connectivity:

Open Log Analytics to check if the logs are received using the CommonSecurityLog schema.

It may take about 20 minutes until the connection streams data to your workspace.

If the logs are not received, run the following connectivity validation script:

  1. Make sure that you have Python on your machine using the following command: python -version

  2. You must have elevated permissions (sudo) on your machine - Run the following command to validate your connectivity:: sudo wget -O cef_troubleshoot.py https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/DataConnectors/CEF/cef_troubleshoot.py&&sudo python cef_troubleshoot.py {0}

4. Secure your machine

Make sure to configure the machine's security according to your organization's security policy

Learn more >


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