Illumio SaaS

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Attribute Value
Connector ID IllumioSaaSDataConnector
Publisher Illumio
Used in Solutions IllumioSaaS
Collection Method Azure Function
Connector Definition Files IllumioSaaS_FunctionApp.json
Ingestion API Log Ingestion APIAzure Function code uses LogsIngestionClient/Log Ingestion API

Illumio connector provides the capability to ingest events into Microsoft Sentinel. The connector provides ability to ingest auditable and flow events from AWS S3 bucket.

Tables Ingested

This connector ingests data into the following tables:

Table Transformations Ingestion API Lake-Only
Illumio_Auditable_Events_CL ? ?
Illumio_Flow_Events_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. - SQS and AWS S3 account credentials/permissions: AWS_SECRET, AWS_REGION_NAME, AWS_KEY, QUEUE_URL is required. See the documentation to learn more about data pulling. If you are using s3 bucket provided by Illumio, contact Illumio support. At your request they will provide you with the AWS S3 bucket name, AWS SQS url and AWS credentials to access them. - Illumio API key and secret: ILLUMIO_API_KEY, ILLUMIO_API_SECRET is required for a workbook to make connection to SaaS PCE and fetch api responses.

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 AWS SQS / S3 to pull logs into Microsoft Sentinel. This might result in additional data ingestion costs. Check the Azure Functions pricing page for details.

(Optional Step) Securely store 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.

1. Prerequisites

  1. Ensure AWS SQS is configured for the s3 bucket from which flow and auditable event logs are going to be pulled. In case, Illumio provides bucket, please contact Illumio support for sqs url, s3 bucket name and aws credentials.
  2. Register AAD application - For DCR (Data collection rule) to authentiate to ingest data into log analytics, you must use Entra application. 1. Follow the instructions here (steps 1-5) to get AAD Tenant Id, AAD Client Id and AAD Client Secret.
  3. Ensure you have created a log analytics workspace. Please keep note of the name and region where it has been deployed.

2. Deployment

Choose one of the approaches from below options. Either use the below ARM template to deploy azure resources or deploy function app manually.

1. Azure Resource Manager (ARM) Template

Use this method for automated deployment of Azure resources using an ARM Tempate.

  1. Click the Deploy to Azure button below.

    Deploy To Azure
    2. Provide the required details such as Microsoft Sentinel Workspace, AWS credentials, Azure AD Application details and ingestion configurations

    NOTE: It is recommended to create a new Resource Group for deployment of function app and associated resources. 3. Mark the checkbox labeled I agree to the terms and conditions stated above. 4. Click Purchase to deploy.

2. Deploy additional function apps to handle scale

Use this method for automated deployment of additional function apps using an ARM Tempate.

  1. Click the Deploy to Azure button below.

    Deploy To Azure

3. Manual Deployment of Azure Functions

Deployment via Visual Studio Code.

1. Deploy a Function App

  1. Download the Azure Function App file. Extract archive to your local development computer.
  2. Follow the function app manual deployment instructions to deploy the Azure Functions app using VSCode.
  3. After successful deployment of the function app, follow next steps for configuring it.

2. Configure the Function App

  1. Follow documentation to set up all required environment variables and click Save. Ensure you restart the function app once settings are saved.

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