Collect Oracle NetSuite - NetSuite Applications Suite logs

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This document explains how to ingest Oracle NetSuite - NetSuite Applications Suite logs to Google Security Operations using Google Cloud Storage V2.

Oracle NetSuite is a cloud-based enterprise resource planning (ERP) platform that provides comprehensive business management capabilities including financial management, customer relationship management (CRM), e-commerce, and inventory management. NetSuite generates extensive audit logs including user login trails, system notes tracking record changes, and API access logs that can be retrieved via the SuiteQL REST API for security monitoring and compliance purposes.

Before you begin

Ensure that you have the following prerequisites:

  • A Google SecOps instance
  • A GCP project with Cloud Storage, Cloud Run, Pub/Sub, and Cloud Scheduler APIs enabled
  • Permissions to create and manage GCS buckets
  • Permissions to manage IAM policies on GCS buckets
  • Permissions to create Cloud Run services, Pub/Sub topics, and Cloud Scheduler jobs
  • A NetSuite account with Administrator access
  • NetSuite REST Web Services enabled
  • Permissions to create integration records and access tokens in NetSuite

Configure NetSuite API access

To enable log collection via the SuiteQL REST API, you must enable REST Web Services, create an integration record, and generate Token-Based Authentication (TBA) credentials in NetSuite.

Enable required NetSuite features

  1. Sign in to your NetSuite account as an Administrator.
  2. Go to Setup > Company > Enable Features.
  3. Click the SuiteCloud tab.
  4. In the SuiteScript section, check the following boxes:
    • Client SuiteScript
    • Server SuiteScript
  5. In the SuiteTalk (Web Services) section, check the following box:
    • REST Web Services
  6. In the Manage Authentication section, check the Token-Based Authentication box.
  7. Click I Agree on the SuiteCloud Terms of Service page.
  8. Click Save.

Create an integration record

  1. In NetSuite, go to Setup > Integration > Manage Integrations > New.
  2. In the Name field, enter Google SecOps Integration.
  3. In the Description field, enter Integration for Google Security Operations log collection.
  4. In the State field, leave the default Enabled option selected.
  5. Click the Authentication tab.
  6. In the Token-based Authentication section, check the Token-based Authentication box.
  7. Leave the TBA: Authorization Flow box unchecked.
  8. Check the TBA: ISSUETOKEN ENDPOINT box.
  9. Click Save.
  10. On the confirmation page, copy and save the Consumer Key/Client ID and Consumer Secret/Client Secret.

Create a custom role for API access

  1. Go to Setup > Users/Roles > Manage Roles > New.
  2. In the Name field, enter Google SecOps API Role.
  3. In the ID field, enter google_secops_api_role.
  4. Click the Permissions subtab.
  5. Click the Setup subtab.
  6. Add the following permissions with Full access level:
    • Log in using Access Tokens
    • User Access Tokens
    • REST Web Services
  7. Click the Reports subtab.
  8. Add the following permissions with View access level:
    • SuiteAnalytics Workbook
  9. Click the Lists subtab.
  10. Add the following permissions with View access level:
    • Login Audit Trail
  11. Click Save.

Assign the role to a user

  1. Go to Lists > Employees > Employees.
  2. Select the user account that will be used for the integration (or create a new dedicated integration user).
  3. Click Edit.
  4. Click the Access tab.
  5. In the Roles section, click Add.
  6. Select Google SecOps API Role from the dropdown list.
  7. Click Save.

Create an access token

  1. Sign in to NetSuite as the user assigned the Google SecOps API Role.
  2. Go to Setup > Users/Roles > Access Tokens > New.
  3. On the Access Token page:
    • In the Application Name dropdown list, select Google SecOps Integration.
    • In the User dropdown list, select the user account assigned the Google SecOps API Role.
    • In the Role dropdown list, select Google SecOps API Role.
    • The Token Name field is automatically populated. You can modify it if preferred.
  4. Click Save.
  5. On the confirmation page, copy and save the Token ID and Token Secret.

Find your NetSuite Account ID

  1. In NetSuite, go to Setup > Company > Company Information.
  2. Locate the Account ID field (displayed below the Time Zone setting).
  3. Copy and save your Account ID (for example, 1234567 or 1234567_SB1 for sandbox accounts).

Verify permissions

To verify the account has the required permissions:

  1. Sign in to NetSuite with the user assigned the Google SecOps API Role.
  2. Go to Setup > Users/Roles > View Login Audit Trail.
  3. If you can see the Login Audit Trail page, the account has the required permissions.
  4. If you cannot see this option, contact your NetSuite administrator to grant the Login Audit Trail permission under the Lists subtab.

Test API access

  • Test your credentials before proceeding with the integration:

    # Replace with your actual values
    ACCOUNT_ID="your-account-id"
    
    # Replace underscores with hyphens in the account ID for the URL
    # For example: 1234567_SB1 becomes 1234567-sb1
    URL_ACCOUNT_ID=$(echo "$ACCOUNT_ID" | tr '_' '-' | tr '[:upper:]' '[:lower:]')
    
    CONSUMER_KEY="your-consumer-key"
    CONSUMER_SECRET="your-consumer-secret"
    TOKEN_ID="your-token-id"
    TOKEN_SECRET="your-token-secret"
    
    # Test SuiteQL API access using OAuth 1.0 TBA
    # Note: This example requires the oauth1 CLI tool or Postman.
    # Use the following endpoint and headers to verify connectivity:
    # POST https://${URL_ACCOUNT_ID}.suitetalk.api.netsuite.com/services/rest/query/v1/suiteql?limit=5
    # Headers:
    #   Authorization: OAuth (with consumer key, token, HMAC-SHA256 signature)
    #   Content-Type: application/json
    #   Prefer: transient
    # Body: {"q": "SELECT id, date, status, user, emailaddress FROM LoginAudit ORDER BY date DESC"}
    

A successful response returns a JSON object containing LoginAudit records.

Create Google Cloud Storage bucket

  1. Go to the Google Cloud Console.
  2. Select your project or create a new one.
  3. In the navigation menu, go to Cloud Storage > Buckets.
  4. Click Create bucket.
  5. Provide the following configuration details:

    Setting Value
    Name your bucket Enter a globally unique name (for example, netsuite-audit-logs)
    Location type Choose based on your needs (Region, Dual-region, Multi-region)
    Location Select the location (for example, us-central1)
    Storage class Standard (recommended for frequently accessed logs)
    Access control Uniform (recommended)
    Protection tools Optional: Enable object versioning or retention policy
  6. Click Create.

Create service account for Cloud Run function

The Cloud Run function needs a service account with permissions to write to GCS bucket and be invoked by Pub/Sub.

Create service account

  1. In the GCP Console, go to IAM & Admin > Service Accounts.
  2. Click Create Service Account.
  3. Provide the following configuration details:
    • Service account name: Enter netsuite-audit-collector-sa
    • Service account description: Enter Service account for Cloud Run function to collect NetSuite audit logs
  4. Click Create and Continue.
  5. In the Grant this service account access to project section, add the following roles:
    1. Click Select a role.
    2. Search for and select Storage Object Admin.
    3. Click + Add another role.
    4. Search for and select Cloud Run Invoker.
    5. Click + Add another role.
    6. Search for and select Cloud Functions Invoker.
  6. Click Continue.
  7. Click Done.

These roles are required for:

  • Storage Object Admin: Write logs to GCS bucket and manage state files
  • Cloud Run Invoker: Allow Pub/Sub to invoke the function
  • Cloud Functions Invoker: Allow function invocation

Grant IAM permissions on GCS bucket

  1. Go to Cloud Storage > Buckets.
  2. Click on your bucket name (netsuite-audit-logs).
  3. Go to the Permissions tab.
  4. Click Grant access.
  5. Provide the following configuration details:
    • Add principals: Enter the service account email (netsuite-audit-collector-sa@PROJECT_ID.iam.gserviceaccount.com)
    • Assign roles: Select Storage Object Admin
  6. Click Save.

Create Pub/Sub topic

  1. In the GCP Console, go to Pub/Sub > Topics.
  2. Click Create topic.
  3. Provide the following configuration details:
    • Topic ID: Enter netsuite-audit-trigger
    • Leave other settings as default
  4. Click Create.

Create Cloud Run function to collect logs

The Cloud Run function will be triggered by Pub/Sub messages from Cloud Scheduler to fetch logs from the NetSuite SuiteQL REST API and write them to GCS.

  1. In the GCP Console, go to Cloud Run.
  2. Click Create service.
  3. Select Function (use an inline editor to create a function).
  4. In the Configure section, provide the following configuration details:

    Setting Value
    Service name netsuite-audit-collector
    Region Select region matching your GCS bucket (for example, us-central1)
    Runtime Select Python 3.12 or later
  5. In the Trigger (optional) section:

    1. Click + Add trigger.
    2. Select Cloud Pub/Sub.
    3. In Select a Cloud Pub/Sub topic, choose netsuite-audit-trigger.
    4. Click Save.
  6. In the Authentication section:

    1. Select Require authentication.
    2. Check Identity and Access Management (IAM).
  7. Scroll down and expand Containers, Networking, Security.

  8. Go to the Security tab:

    • Service account: Select netsuite-audit-collector-sa
  9. Go to the Containers tab:

    1. Click Variables & Secrets.
    2. Click + Add variable for each environment variable:
    Variable Name Example Value Description
    GCS_BUCKET netsuite-audit-logs GCS bucket name
    GCS_PREFIX netsuite-audit Prefix for log files
    STATE_KEY netsuite-audit/state.json State file path
    NS_ACCOUNT_ID 1234567 NetSuite Account ID
    NS_CONSUMER_KEY your-consumer-key Consumer Key from integration record
    NS_CONSUMER_SECRET your-consumer-secret Consumer Secret from integration record
    NS_TOKEN_ID your-token-id Token ID from access token
    NS_TOKEN_SECRET your-token-secret Token Secret from access token
    MAX_RECORDS 10000 Max records per run
    PAGE_SIZE 1000 Records per SuiteQL page
    LOOKBACK_HOURS 24 Initial lookback period
  10. In the Variables & Secrets section, scroll down to Requests:

    • Request timeout: Enter 600 seconds (10 minutes)
  11. Go to the Settings tab:

    • In the Resources section:
      • Memory: Select 512 MiB or higher
      • CPU: Select 1
  12. In the Revision scaling section:

    • Minimum number of instances: Enter 0
    • Maximum number of instances: Enter 100
  13. Click Create.

  14. Wait for the service to be created (1-2 minutes).

  15. After the service is created, the inline code editor will open automatically.

Add function code

  1. Enter main in the Entry point field.
  2. In the inline code editor, create two files:

    • main.py:
    import functions_framework
    from google.cloud import storage
    import json
    import os
    import urllib3
    import hashlib
    import hmac
    import base64
    import time
    import secrets
    import urllib.parse
    from datetime import datetime, timezone, timedelta
    
    # Initialize HTTP client with timeouts
    http = urllib3.PoolManager(
      timeout=urllib3.Timeout(connect=10.0, read=60.0),
      retries=False,
    )
    
    # Initialize Storage client
    storage_client = storage.Client()
    
    # Environment variables
    GCS_BUCKET = os.environ.get('GCS_BUCKET')
    GCS_PREFIX = os.environ.get('GCS_PREFIX', 'netsuite-audit')
    STATE_KEY = os.environ.get('STATE_KEY', 'netsuite-audit/state.json')
    NS_ACCOUNT_ID = os.environ.get('NS_ACCOUNT_ID')
    NS_CONSUMER_KEY = os.environ.get('NS_CONSUMER_KEY')
    NS_CONSUMER_SECRET = os.environ.get('NS_CONSUMER_SECRET')
    NS_TOKEN_ID = os.environ.get('NS_TOKEN_ID')
    NS_TOKEN_SECRET = os.environ.get('NS_TOKEN_SECRET')
    MAX_RECORDS = int(os.environ.get('MAX_RECORDS', '10000'))
    PAGE_SIZE = int(os.environ.get('PAGE_SIZE', '1000'))
    LOOKBACK_HOURS = int(os.environ.get('LOOKBACK_HOURS', '24'))
    
    def get_netsuite_base_url(account_id):
      """Build the NetSuite REST API base URL from the account ID."""
      url_account = account_id.replace('_', '-').lower()
      return f"https://{url_account}.suitetalk.api.netsuite.com"
    
    def generate_oauth_header(method, url, account_id, consumer_key,
      consumer_secret, token_id, token_secret):
      """Generate OAuth 1.0 Authorization header using HMAC-SHA256."""
      timestamp = str(int(time.time()))
      nonce = secrets.token_hex(16)
    
      # Parse URL to separate base URL and query parameters
      parsed = urllib.parse.urlparse(url)
      base_url = f"{parsed.scheme}://{parsed.netloc}{parsed.path}"
      query_params = urllib.parse.parse_qs(parsed.query, keep_blank_values=True)
    
      # Build parameter string (OAuth params + query params)
      params = {
        'oauth_consumer_key': consumer_key,
        'oauth_token': token_id,
        'oauth_nonce': nonce,
        'oauth_timestamp': timestamp,
        'oauth_signature_method': 'HMAC-SHA256',
        'oauth_version': '1.0',
      }
      for key, values in query_params.items():
        params[key] = values[0]
    
      # Sort parameters and create parameter string
      sorted_params = sorted(params.items())
      param_string = '&'.join(
        f"{urllib.parse.quote(k, safe='')}={urllib.parse.quote(v, safe='')}"
        for k, v in sorted_params
      )
    
      # Create signature base string
      signature_base = (
        f"{method.upper()}&"
        f"{urllib.parse.quote(base_url, safe='')}&"
        f"{urllib.parse.quote(param_string, safe='')}"
      )
    
      # Create signing key
      signing_key = (
        f"{urllib.parse.quote(consumer_secret, safe='')}&"
        f"{urllib.parse.quote(token_secret, safe='')}"
      )
    
      # Generate HMAC-SHA256 signature
      signature = base64.b64encode(
        hmac.new(
          signing_key.encode('utf-8'),
          signature_base.encode('utf-8'),
          hashlib.sha256
        ).digest()
      ).decode('utf-8')
    
      # Build realm from account ID
      realm = account_id.replace('-', '_').upper()
    
      # Build Authorization header
      auth_header = (
        f'OAuth realm="{realm}",'
        f'oauth_consumer_key="{consumer_key}",'
        f'oauth_token="{token_id}",'
        f'oauth_nonce="{nonce}",'
        f'oauth_timestamp="{timestamp}",'
        f'oauth_signature_method="HMAC-SHA256",'
        f'oauth_version="1.0",'
        f'oauth_signature="{urllib.parse.quote(signature, safe="")}"'
      )
      return auth_header
    
    @functions_framework.cloud_event
    def main(cloud_event):
      """
      Cloud Run function triggered by Pub/Sub to fetch NetSuite
      LoginAudit logs via SuiteQL and write to GCS.
      """
      if not all([GCS_BUCKET, NS_ACCOUNT_ID, NS_CONSUMER_KEY,
        NS_CONSUMER_SECRET, NS_TOKEN_ID, NS_TOKEN_SECRET]):
        print('Error: Missing required environment variables')
        return
    
      try:
        bucket = storage_client.bucket(GCS_BUCKET)
        state = load_state(bucket)
        now = datetime.now(timezone.utc)
    
        if isinstance(state, dict) and state.get('last_event_time'):
          try:
            last_val = state['last_event_time']
            if last_val.endswith('Z'):
              last_val = last_val[:-1] + '+00:00'
            last_time = datetime.fromisoformat(last_val)
            last_time = last_time - timedelta(minutes=2)
          except Exception as e:
            print(f"Warning: Could not parse last_event_time: {e}")
            last_time = now - timedelta(hours=LOOKBACK_HOURS)
        else:
          last_time = now - timedelta(hours=LOOKBACK_HOURS)
    
        print(f"Fetching logs from {last_time.isoformat()} to {now.isoformat()}")
    
        records, newest_time = fetch_login_audit(last_time, now)
    
        if not records:
          print("No new log records found.")
          save_state(bucket, now.isoformat())
          return
    
        timestamp = now.strftime('%Y%m%d_%H%M%S')
        object_key = f"{GCS_PREFIX}/netsuite_audit_{timestamp}.ndjson"
        blob = bucket.blob(object_key)
    
        ndjson = '\n'.join(
          [json.dumps(r, ensure_ascii=False, default=str) for r in records]
        ) + '\n'
        blob.upload_from_string(ndjson, content_type='application/x-ndjson')
    
        print(f"Wrote {len(records)} records to gs://{GCS_BUCKET}/{object_key}")
    
        if newest_time:
          save_state(bucket, newest_time)
        else:
          save_state(bucket, now.isoformat())
    
        print(f"Successfully processed {len(records)} records")
    
      except Exception as e:
        print(f'Error processing logs: {str(e)}')
        raise
    
    def fetch_login_audit(start_time, end_time):
      """
      Fetch LoginAudit records from NetSuite SuiteQL API with pagination.
    
      Returns:
        Tuple of (records list, newest_event_time ISO string)
      """
      base_url = get_netsuite_base_url(NS_ACCOUNT_ID)
      suiteql_endpoint = f"{base_url}/services/rest/query/v1/suiteql"
    
      start_str = start_time.strftime('%Y-%m-%d %H:%M:%S')
      end_str = end_time.strftime('%Y-%m-%d %H:%M:%S')
    
      query = (
        "SELECT id, date, status, user, role, emailaddress, "
        "ipaddress, useragent, detail, requesturi, "
        "oauthaccesstokenname, oauthappname "
        "FROM LoginAudit "
        f"WHERE date BETWEEN TO_DATE('{start_str}', 'YYYY-MM-DD HH24:MI:SS') "
        f"AND TO_DATE('{end_str}', 'YYYY-MM-DD HH24:MI:SS') "
        "ORDER BY date ASC"
      )
    
      records = []
      newest_time = None
      offset = 0
      backoff = 1.0
    
      while True:
        if len(records) >= MAX_RECORDS:
          print(f"Reached max_records limit ({MAX_RECORDS})")
          break
    
        remaining = min(PAGE_SIZE, MAX_RECORDS - len(records))
        url = f"{suiteql_endpoint}?limit={remaining}&offset={offset}"
    
        auth_header = generate_oauth_header(
          'POST', url, NS_ACCOUNT_ID, NS_CONSUMER_KEY,
          NS_CONSUMER_SECRET, NS_TOKEN_ID, NS_TOKEN_SECRET
        )
    
        headers = {
          'Authorization': auth_header,
          'Content-Type': 'application/json',
          'Prefer': 'transient',
          'User-Agent': 'GoogleSecOps-NetSuiteCollector/1.0',
        }
    
        body = json.dumps({'q': query}).encode('utf-8')
    
        try:
          response = http.request('POST', url, headers=headers, body=body)
    
          if response.status == 429:
            retry_after = int(
              response.headers.get('Retry-After', str(int(backoff)))
            )
            print(f"Rate limited (429). Retrying after {retry_after}s...")
            time.sleep(retry_after)
            backoff = min(backoff * 2, 60.0)
            continue
    
          backoff = 1.0
    
          if response.status != 200:
            print(f"HTTP Error: {response.status}")
            response_text = response.data.decode('utf-8')
            print(f"Response body: {response_text}")
            return records, newest_time
    
          data = json.loads(response.data.decode('utf-8'))
    
          page_results = data.get('items', [])
    
          if not page_results:
            print("No more results (empty page)")
            break
    
          page_num = (offset // PAGE_SIZE) + 1
          print(f"Page {page_num}: Retrieved {len(page_results)} records")
          records.extend(page_results)
    
          for event in page_results:
            try:
              event_time = event.get('date')
              if event_time:
                if newest_time is None or event_time > newest_time:
                  newest_time = event_time
            except Exception as e:
              print(f"Warning: Could not parse event time: {e}")
    
          has_more = data.get('hasMore', False)
          if not has_more:
            print("Reached last page (hasMore=false)")
            break
    
          offset += len(page_results)
    
        except Exception as e:
          print(f"Error fetching logs: {e}")
          return records, newest_time
    
      print(f"Retrieved {len(records)} total records")
      return records, newest_time
    
    def load_state(bucket):
      """Load state from GCS."""
      try:
        blob = bucket.blob(STATE_KEY)
        if blob.exists():
          return json.loads(blob.download_as_text())
      except Exception as e:
        print(f"Warning: Could not load state: {e}")
      return {}
    
    def save_state(bucket, last_event_time_iso):
      """Save the last event timestamp to GCS state file."""
      try:
        state = {
          'last_event_time': last_event_time_iso,
          'last_run': datetime.now(timezone.utc).isoformat()
        }
        blob = bucket.blob(STATE_KEY)
        blob.upload_from_string(
          json.dumps(state, indent=2),
          content_type='application/json'
        )
        print(f"Saved state: last_event_time={last_event_time_iso}")
      except Exception as e:
        print(f"Warning: Could not save state: {e}")
    
    • requirements.txt:
    functions-framework==3.*
    google-cloud-storage==2.*
    urllib3>=2.0.0
    
  3. Click Deploy to save and deploy the function.

  4. Wait for deployment to complete (2-3 minutes).

Create Cloud Scheduler job

Cloud Scheduler will publish messages to the Pub/Sub topic at regular intervals, triggering the Cloud Run function.

  1. In the GCP Console, go to Cloud Scheduler.
  2. Click Create Job.
  3. Provide the following configuration details:

    Setting Value
    Name netsuite-audit-collector-hourly
    Region Select same region as Cloud Run function
    Frequency 0 * * * * (every hour, on the hour)
    Timezone Select timezone (UTC recommended)
    Target type Pub/Sub
    Topic Select netsuite-audit-trigger
    Message body {} (empty JSON object)
  4. Click Create.

Schedule frequency options

Choose frequency based on log volume and latency requirements:

Frequency Cron Expression Use Case
Every 5 minutes */5 * * * * High-volume, low-latency
Every 15 minutes */15 * * * * Medium volume
Every hour 0 * * * * Standard (recommended)
Every 6 hours 0 */6 * * * Low volume, batch processing
Daily 0 0 * * * Historical data collection

Test the integration

  1. In the Cloud Scheduler console, find your job (netsuite-audit-collector-hourly).
  2. Click Force run to trigger the job manually.
  3. Wait a few seconds.
  4. Go to Cloud Run > Services.
  5. Click on netsuite-audit-collector.
  6. Click the Logs tab.
  7. Verify the function executed successfully. Look for:

    Fetching logs from YYYY-MM-DDTHH:MM:SS+00:00 to YYYY-MM-DDTHH:MM:SS+00:00
    Page 1: Retrieved X records
    Wrote X records to gs://netsuite-audit-logs/netsuite-audit/netsuite_audit_YYYYMMDD_HHMMSS.ndjson
    Successfully processed X records
    
  8. Go to Cloud Storage > Buckets.

  9. Click on netsuite-audit-logs.

  10. Navigate to the netsuite-audit/ folder.

  11. Verify that a new .ndjson file was created with the current timestamp.

If you see errors in the logs:

  • HTTP 401: Verify the OAuth credentials (NS_CONSUMER_KEY, NS_CONSUMER_SECRET, NS_TOKEN_ID, NS_TOKEN_SECRET) and NS_ACCOUNT_ID environment variables are correct
  • HTTP 403: Verify the NetSuite role has the required permissions (REST Web Services, Login Audit Trail, SuiteAnalytics Workbook)
  • HTTP 429: Rate limiting — the function will automatically retry with exponential backoff
  • Missing environment variables: Verify all required variables are set in the Cloud Run function configuration

Retrieve the Google SecOps service account

  1. Go to SIEM Settings > Feeds.
  2. Click Add New Feed.
  3. Click Configure a single feed.
  4. In the Feed name field, enter a name for the feed (for example, NetSuite Audit Logs).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select Oracle NetSuite - NetSuite Applications Suite as the Log type.
  7. Click Get Service Account. A unique service account email will be displayed. For example:

    chronicle-12345678@chronicle-gcp-prod.iam.gserviceaccount.com
    
  8. Copy this email address for use in the next step.

  9. Click Next.

  10. Specify values for the following input parameters:

    • Storage bucket URL: Enter the GCS bucket URI with the prefix path:

      gs://netsuite-audit-logs/netsuite-audit/
      
    • Source deletion option: Select the deletion option according to your preference:
      • Never: Never deletes any files after transfers (recommended for testing).
      • Delete transferred files: Deletes files after successful transfer.
      • Delete transferred files and empty directories: Deletes files and empty directories after successful transfer.
    • Maximum File Age: Include files modified in the last number of days (default is 180 days)
    • Asset namespace: The asset namespace
    • Ingestion labels: The label to be applied to the events from this feed
  11. Click Next.

  12. Review your new feed configuration in the Finalize screen, and then click Submit.

Grant IAM permissions to the Google SecOps service account

The Google SecOps service account needs Storage Object Viewer role on your GCS bucket.

  1. Go to Cloud Storage > Buckets.
  2. Click on netsuite-audit-logs.
  3. Go to the Permissions tab.
  4. Click Grant access.
  5. Provide the following configuration details:
    • Add principals: Paste the Google SecOps service account email
    • Assign roles: Select Storage Object Viewer
  6. Click Save.

NetSuite API rate limits

NetSuite API has the following concurrency and rate limits:

Limit Type Default Value Notes
Concurrent requests 15 requests Applies to combined SOAP and REST API requests per account
SuiteQL query results 100,000 rows maximum Maximum rows returned per SuiteQL query
Objects per request 1,000 objects maximum Maximum objects returned per API request

The Cloud Run function automatically handles rate limiting with exponential backoff. If you encounter persistent rate limit errors (HTTP 429), contact NetSuite support to increase your API limits or adjust the Cloud Scheduler frequency.

UDM mapping table

Log Field UDM Mapping Logic
user extensions.auth.type Type of authentication mechanism used
date metadata.event_timestamp Timestamp when the event occurred
event_type metadata.event_type Type of event (e.g., USER_LOGIN, NETWORK_CONNECTION)
security_result security_result Details about the security result of the event
oauthaccesstokenname security_result.about.resource.attribute.labels Key-value labels describing attributes of the resource involved in the security result
secchallenge security_result.about.resource.attribute.labels
status security_result.summary Summary description of the security result
oauthappname target.application Name of the target application
useragent target.application
ipaddress target.ip IP address of the target
requesturi target.url URL of the target resource
emailaddress target.user.email_addresses Email addresses associated with the target user
role target.user.role_name Role name assigned to the target user
user target.user.userid Unique identifier for the target user

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