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Google Workspace (G Suite) (using Azure Functions) connector for Microsoft Sentinel

  • Artikkeli

The Google Workspace data connector provides the capability to ingest Google Workspace Activity 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, track who signs in and when, analyze administrator activity, understand how users create and share content, and more review events in your org.

This is autogenerated content. For changes, contact the solution provider.

Connector attributes

Connector attribute Description
Azure function app code https://aka.ms/sentinel-GWorkspaceReportsAPI-functionapp
Log Analytics table(s) GWorkspace_ReportsAPI_admin_CL
GWorkspace_ReportsAPI_calendar_CL
GWorkspace_ReportsAPI_drive_CL
GWorkspace_ReportsAPI_login_CL
GWorkspace_ReportsAPI_mobile_CL
GWorkspace_ReportsAPI_token_CL
GWorkspace_ReportsAPI_user_accounts_CL
Data collection rules support Not currently supported
Supported by Microsoft Corporation

Query samples

Google Workspace Events - All Activities

GWorkspaceActivityReports

| sort by TimeGenerated desc

Google Workspace Events - Admin Activity

GWorkspace_ReportsAPI_admin_CL

| sort by TimeGenerated desc

Google Workspace Events - Calendar Activity

GWorkspace_ReportsAPI_calendar_CL

| sort by TimeGenerated desc

Google Workspace Events - Drive Activity

GWorkspace_ReportsAPI_drive_CL

| sort by TimeGenerated desc

Google Workspace Events - Login Activity

GWorkspace_ReportsAPI_login_CL

| sort by TimeGenerated desc

Google Workspace Events - Mobile Activity

GWorkspace_ReportsAPI_mobile_CL

| sort by TimeGenerated desc

Google Workspace Events - Token Activity

GWorkspace_ReportsAPI_token_CL

| sort by TimeGenerated desc

Google Workspace Events - User Accounts Activity

GWorkspace_ReportsAPI_user_accounts_CL

| sort by TimeGenerated desc

Prerequisites

To integrate with Google Workspace (G Suite) (using Azure Functions) make sure you have:

Vendor installation instructions

Note

This connector uses Azure Functions to connect to the Google Reports API to pull its logs into Microsoft Sentinel. This might result in additional data ingestion costs. Check the Azure Functions 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 which is deployed as part of the solution. To view the function code in Log Analytics, open Log Analytics/Microsoft Sentinel Logs blade, click Functions and search for the alias GWorkspaceReports and load the function code, on the second line of the query, enter the hostname(s) of your GWorkspaceReports device(s) and any other unique identifiers for the logstream. The function usually takes 10-15 minutes to activate after solution installation/update.

STEP 1 - Ensure the prerequisites to obtain the Google Pickel String

  1. Python 3 or above is installed.
  2. The pip package management tool is available.
  3. A Google Workspace domain with API access enabled.
  4. A Google account in that domain with administrator privileges.

STEP 2 - Configuration steps for the Google Reports API

  1. Login to Google cloud console with your Workspace Admin credentials https://console.cloud.google.com.
  2. Using the search option (available at the top middle), Search for APIs & Services
  3. From APIs & Services -> Enabled APIs & Services, enable Admin SDK API for this project.
  4. Go to APIs & Services -> OAuth Consent Screen. If not already configured, create a OAuth Consent Screen with the following steps:
    1. Provide App Name and other mandatory information.
    2. Add authorized domains with API Access Enabled.
    3. In Scopes section, add Admin SDK API scope.
    4. In Test Users section, make sure the domain admin account is added.
  5. Go to APIs & Services -> Credentials and create OAuth 2.0 Client ID
    1. Click on Create Credentials on the top and select Oauth client Id.
    2. Select Web Application from the Application Type drop down.
    3. Provide a suitable name to the Web App and add http://localhost:8081/ as one of the Authorized redirect URIs.
    4. Once you click Create, download the JSON from the pop-up that appears. Rename this file to "credentials.json".
  6. To fetch Google Pickel String, run the python script from the same folder where credentials.json is saved.
    1. When popped up for sign-in, use the domain admin account credentials to login.

Note: This script is supported only on Windows operating system. 7. From the output of the previous step, copy Google Pickle String (contained within single quotation marks) and keep it handy. It will be needed on Function App deployment step.

STEP 3 - Choose ONE from the following two deployment options to deploy the connector and the associated Azure Function

IMPORTANT: Before deploying the Workspace data connector, have the Workspace ID and Workspace Primary Key (can be copied from the following), as well as the Workspace GooglePickleString readily available.

Option 1 - Azure Resource Manager (ARM) Template

Use this method for automated deployment of the Google Workspace 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.

  3. Enter the Workspace ID, Workspace Key, GooglePickleString and deploy.

  4. Mark the checkbox labeled I agree to the terms and conditions stated above.

  5. Click Purchase to deploy.

Option 2 - Manual Deployment of Azure Functions

Use the following step-by-step instructions to deploy the Google Workspace 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. GWorkspaceXXXXX).

    e. Select a runtime: Choose Python 3.8.

    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): GooglePickleString WorkspaceID WorkspaceKey logAnalyticsUri (optional)

  4. (Optional) Change the default delays if required.

    NOTE: The following default values for ingestion delays have been added for different set of logs from Google Workspace based on Google documentation. These can be modified based on environmental requirements. Fetch Delay - 10 minutes Calendar Fetch Delay - 6 hours Chat Fetch Delay - 1 day User Accounts Fetch Delay - 3 hours Login Fetch Delay - 6 hours

  5. 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.

  6. Once all application settings have been entered, click Save.

Next steps

For more information, go to the related solution in the Azure Marketplace.