Deploy the TrendAI Vision One connector in Microsoft Sentinel

Procedure

1. Install the TrendAI Vision One™ solution in Microsoft Sentinel
   1. In your Microsoft Sentinel workspace, go to Content management → Content hub (Preview).
   2. Search for TrendAI Vision One™ and click Install.
   3. Choose your workspace and click Start.
2. Install the TrendAI Vision One™ data connector:
   1. In your Microsoft Sentinel workspace, go to Configuration → Data connectors.
   2. Search for TrendAI Vision One™ (using Azure Function) and click Open connector page.
   3. On the connector page, go to Instructions.
   4. Copy the Workspace ID and Workspace Key.
   5. Click Deploy to Azure.
      The deployment process redirects to the Microsoft Azure portal.
   6. Configure the settings on the Custom deployment page:

      Setting	Configuration Notes
      Subscription	Manages deployed resources
      Resource group	Where to deploy the connector
      Function name	Must be a unique name
      Workspace ID and workspace key	The information you copied from the Instructions section of the connector page. You can also access the information from Log Analytics. Go to your Workspace in Log Analytics. Go to Settings → Agents management. The information is on Windows servers, under Download agent.
      API key	An API key from a TrendAI Vision One™ user account Important The Microsoft Sentinel connector requires an API key from a TrendAI Vision One™ user account with the SIEM role or a user role with greater permissions. The user account access level must include APIs.
      Region code	The region code that corresponds to the location of your TrendAI Vision One™ instance Allowed values: au ca eu in jp mea sg uk us
      Storage prefix	Ensure the storage prefix adheres to the Azure resource naming conventions.

   7. Click Review + create.
3. Configure the Python version the connector uses.
   1. In the Microsoft Azure console, find the resource group of the TrendAI Vision One™ connector.
   2. Under Resources, click the Function App in your resource group.
   3. Go to Configuration → General Settings.
   4. Select Python 3.11 from the Python Version menu.
   5. Click Save.
4. If you use custom detection models or hypersensitive mode, configure the connector to pull the related alert data.
   By default, the TrendAI Vision One™ connector does not pull data created by custom detection models or hypersensitive mode. You need to configure additional settings to ensure the connector ingests related alert data.
   1. In the Microsoft Azure console, find the resource group of the TrendAI Vision One™ connector.
   2. Under Resources, click the Function App in your resource group.
   3. Go to Settings → Environment variables → App settings.
   4. If you want to send custom detection models to Microsoft Sentinel, click Add and configure the following settings:
      • Name: queryCustomWorkbench
      • Value: True
   5. If you want to send hypersensitive mode alerts to Microsoft Sentinel, click Add and configure the following settings:
      • Name: queryAggressiveWorkbench
      • Value: True
   6. Click Apply.
   7. In the confirmation dialog, click Confirm.