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SailPoint IdentityNow (using Azure Functions) connector for Microsoft Sentinel
Статия
The SailPoint IdentityNow data connector provides the capability to ingest [SailPoint IdentityNow] search events into Microsoft Sentinel through the REST API. The connector provides customers the ability to extract audit information from their IdentityNow tenant. It is intended to make it even easier to bring IdentityNow user activity and governance events into Microsoft Sentinel to improve insights from your security incident and event monitoring solution.
This is autogenerated content. For changes, contact the solution provider.
SailPoint IdentityNow API Authentication Credentials: TENANT_ID, CLIENT_ID and CLIENT_SECRET are required for authentication.
Vendor installation instructions
Бележка
This connector uses Azure Functions to connect to the SailPoint IdentityNow REST 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.
STEP 1 - Configuration steps for the SailPoint IdentityNow API
STEP 2 - Choose ONE from the following two deployment options to deploy the connector and the associated Azure Function
IMPORTANT: Before deploying the SailPoint IdentityNow data connector, have the Workspace ID and Workspace Primary Key (can be copied from the following).
Option 1 - Azure Resource Manager (ARM) Template
Use this method for automated deployment of the SailPoint IdentityNow data connector using an ARM Template.
Click the Deploy to Azure button below.
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 other information 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 SailPoint IdentityNow 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.
Download the Azure Function App file. Extract archive to your local development computer.
Start VS Code. Choose File in the main menu and select Open Folder.
Select the top level folder from extracted files.
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.
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. searcheventXXXXX).
e. Select a runtime: Choose Python 3.9.
f. Select a location for new resources. For better performance and lower costs choose the same region where Microsoft Sentinel is located.
Deployment will begin. A notification is displayed after your function app is created and the deployment package is applied.
Go to Azure Portal for the Function App configuration.
2. Configure the Function App
In the Function App, select the Function App Name and select Configuration.
In the Application settings tab, select ** New application setting**.
Add each of the following application settings individually, with their respective string values (case-sensitive):
TENANT_ID
SHARED_KEY
LIMIT
GRANT_TYPE
CUSTOMER_ID
CLIENT_ID
CLIENT_SECRET
AZURE_STORAGE_ACCESS_KEY
AZURE_STORAGE_ACCOUNT_NAME
AzureWebJobsStorage
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.
3. Once all application settings have been entered, click Save.
Next steps
For more information, go to the related solution in the Azure Marketplace.