Bitglass

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Attribute Value
Connector ID Bitglass
Publisher Bitglass
Used in Solutions Bitglass
Collection Method Azure Function
Connector Definition Files Bitglass_API_FunctionApp.json
Ingestion API HTTP Data Collector API — Azure Function code uses SharedKey/HTTP Data Collector API
Custom Log V1 Tables Yes 🔶 — ingests into tables with type-suffixed columns

The Bitglass data connector provides the capability to retrieve security event logs of the Bitglass services and more events into Microsoft Sentinel through the REST API. The connector provides ability to get events which helps to examine potential security risks, analyze your team's use of collaboration, diagnose configuration problems and more.

Tables Ingested

This connector ingests data into the following tables:

Table Transformations Ingestion API Lake-Only
BitglassLogs_CL 🔶 ? ✓ ?

💡 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 on the workspace are required. - Keys (Workspace): read permissions to shared keys for the workspace are required. See the documentation to learn more about workspace keys.

Custom Permissions: - Microsoft.Web/sites permissions: Read and write permissions to Azure Functions to create a Function App is required. See the documentation to learn more about Azure Functions. - REST API Credentials/permissions: BitglassToken and BitglassServiceURL are required for making API calls.

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.

NOTE: This connector uses Azure Functions to connect to the Azure Blob Storage API to pull logs into Microsoft Sentinel. This might result in additional costs for data ingestion and for storing data in Azure Blob Storage costs. Check the Azure Functions pricing page and Azure Blob Storage pricing page for details.

(Optional Step) Securely store workspace and API authorization key(s) or token(s) in Azure Key Vault. Azure Key Vault provides a secure mechanism to store and retrieve key values. Follow these instructions to use Azure Key Vault with an Azure Function App.

NOTE: This data connector depends on a parser based on a Kusto Function to work as expected Bitglass which is deployed with the Microsoft Sentinel Solution.

STEP 1 - Configuration steps for the Bitglass Log Retrieval API

Follow the instructions to obtain the credentials.

  1. Please contact Bitglass support and obtain the BitglassToken and BitglassServiceURL ntation].
  2. Save credentials for using in the data connector.

STEP 2 - Choose ONE from the following two deployment options to deploy the connector and the associated Azure Function

IMPORTANT: Before deploying the Bitglass data connector, have the Workspace ID and Workspace Primary Key (can be copied from the following). - Workspace ID: WorkspaceId Note: The value above is dynamically provided when these instructions are presented within Microsoft Sentinel. - Primary Key: PrimaryKey Note: The value above is dynamically provided when these instructions are presented within Microsoft Sentinel.

3. Option 1 - Azure Resource Manager (ARM) Template

Use this method for automated deployment of the Bitglass data connector using an ARM Template.

  1. Click the Deploy to Azure button below.

    Deploy To Azure 2. Select the preferred Subscription, Resource Group and Location.

    NOTE: Within the same resource group, you can't mix Windows and Linux apps in the same region. Select existing resource group without Windows apps in it or create new resource group. 3. Enter the BitglassToken, BitglassServiceURL and deploy. 4. Mark the checkbox labeled I agree to the terms and conditions stated above. 5. Click Purchase to deploy.

4. Option 2 - Manual Deployment of Azure Functions

Use the following step-by-step instructions to deploy the Bitglass data connector manually with Azure Functions (Deployment via Visual Studio Code).

1. Deploy a Function App

NOTE: You will need to prepare VS code for Azure function development.

  1. Download the Azure Function App file. Extract archive to your local development computer.
  2. Start VS Code. Choose File in the main menu and select Open Folder.
  3. Select the top level folder from extracted files.
  4. Choose the Azure icon in the Activity bar, then in the Azure: Functions area, choose the Deploy to function app button. If you aren't already signed in, choose the Azure icon in the Activity bar, then in the Azure: Functions area, choose Sign in to Azure If you're already signed in, go to the next step.

  5. Provide the following information at the prompts:

    a. Select folder: Choose a folder from your workspace or browse to one that contains your function app.

    b. Select Subscription: Choose the subscription to use.

    c. Select Create new Function App in Azure (Don't choose the Advanced option)

    d. Enter a globally unique name for the function app: Type a name that is valid in a URL path. The name you type is validated to make sure that it's unique in Azure Functions. (e.g. BitglassXXXXX).

    e. Select a runtime: Choose Python 3.11.

    f. Select a location for new resources. For better performance and lower costs choose the same region where Microsoft Sentinel is located.

  6. Deployment will begin. A notification is displayed after your function app is created and the deployment package is applied.

  7. Go to Azure Portal for the Function App configuration.

2. Configure the Function App

  1. In the Function App, select the Function App Name and select Configuration.
  2. In the Application settings tab, select ** New application setting**.
  3. Add each of the following application settings individually, with their respective string values (case-sensitive): BitglassToken BitglassServiceURL WorkspaceID WorkspaceKey logAnalyticsUri (optional)
    • Use logAnalyticsUri to override the log analytics API endpoint for dedicated cloud. For example, for public cloud, leave the value empty; for Azure GovUS cloud environment, specify the value in the following format: https://<CustomerId>.ods.opinsights.azure.us.
  4. Once all application settings have been entered, click Save.

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