🚫 🔍 [Deprecated] Vectra AI Detect via Legacy Agent

🚫 Deprecated: This connector has been deprecated and may be removed in future versions.

🔍 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	`AIVectraDetect`
Publisher	Vectra AI
Used in Solutions	Vectra AI Detect
Collection Method	MMA
Connector Definition Files	AIVectraDetect.json

The AI Vectra Detect connector allows users to connect Vectra Detect logs with Microsoft Sentinel, to view dashboards, create custom alerts, and improve investigation. This gives users more insight into their organization's network and improves their security operation capabilities.

Additional Information

🛠️ Device Configuration: From Vectra UI: Settings > Notifications > Edit syslog configuration. Add Destination with port 514, UDP, CEF format. Enable all log types and Test.

Tables Ingested

This connector ingests data into the following tables:

Table	Selection Criteria	Transformations	Ingestion API	Lake-Only
`CommonSecurityLog`	`DeviceEventClassID == "hsc"` `DeviceEventClassID !in "health,audit,campaigns,hsc,asc"` `DeviceProduct == "X Series"` `DeviceVendor == "Vectra 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 Microsoft 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 Microsoft Sentinel will use as the proxy between your security solution and Microsoft 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 Microsoft Sentinel workspace. The CEF collector collects CEF messages on port 514 over TCP, UDP or TLS.

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

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 AI Vectra Detect logs to Syslog agent in CEF format

Configure Vectra (X Series) Agent to forward Syslog messages in CEF format to your Microsoft Sentinel workspace via the Syslog agent.

From the Vectra UI, navigate to Settings > Notifications and Edit Syslog configuration. Follow below instructions to set up the connection:

Add a new Destination (which is the host where the Microsoft Sentinel Syslog Agent is running)
Set the Port as 514
Set the Protocol as UDP
Set the format to CEF
Set Log types (Select all log types available)
Click on Save

User can click the Test button to force send some test events.

For more information, refer to Cognito Detect Syslog Guide which can be downloaded from the ressource page in Detect UI.

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:

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

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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