BigQuery

Overview

This document outlines the process for configuring the Google BigQuery to receive findings from AlphaSOC. The integration enables you to store, analyze, and visualize AlphaSOC's findings within your BigQuery environment.

To receive findings, set up the following Google BigQuery resources:

• Project that will host the dataset and table.
• Dataset that will organize the data.
• Table with configured table schema and table query that will store the findings.
• IAM permissions that enable secure data transmission from AlphaSOC.

To enable integration, provide the following configuration details to AlphaSOC:

• Project ID.
• Dataset name.
• Table name.

Configuring Table Schema

Enable "Edit as text" toggle and insert the following JSON configuration:

[
  {
    "mode": "NULLABLE",
    "name": "eventType",
    "type": "STRING"
  },
  {
    "fields": [
      {
        "mode": "REQUIRED",
        "name": "ts",
        "type": "TIMESTAMP"
      },
      {
        "mode": "NULLABLE",
        "name": "srcIP",
        "type": "STRING"
      },
      {
        "mode": "NULLABLE",
        "name": "srcPort",
        "type": "INTEGER"
      },
      {
        "mode": "NULLABLE",
        "name": "srcHost",
        "type": "STRING"
      },
      {
        "mode": "NULLABLE",

...

Configuring Table Query

Replace the following placeholders with the appropriate resource identifiers.

• {{PROJECT_ID}} - ID of your project
• {{DATASET_NAME}} - name of your dataset
• {{TABLE_NAME}} - name of your table

Enter the modified query in the query editor:

SELECT * FROM `{{PROJECT_ID}}.{{DATASET_NAME}}.{{TABLE_NAME}}` LIMIT 1000

Adding IAM Permissions

Configure the IAM permissions as shown below, using data-export@alphasoc-io.iam.gserviceaccount.com as the principal. IAM conditions can be optionally configured to specify AlphaSOC's resource access scope. For implementing IAM conditions, refer to IAM conditions documentation.