Collect Skyhigh Security CASB (formerly McAfee Skyhigh CASB) logs

Supported in:

This document explains how to ingest Skyhigh Security CASB (formerly known as McAfee Skyhigh CASB) logs to Google Security Operations using Google Cloud Storage V2.

Skyhigh Security CASB is a cloud access security broker (CASB) that provides visibility, compliance, data security, and threat protection for cloud services. It monitors user activity across SaaS, PaaS, and IaaS environments, detecting anomalies, enforcing DLP policies, and generating incident and audit logs through its REST API.

Before you begin

Make sure that you have the following prerequisites:

  • A Google SecOps instance
  • A GCP project with Cloud Storage API 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 Skyhigh Security CASB tenant with administrative access
  • API credentials from the Skyhigh Security console (Client ID and Client Secret)
  • The Skyhigh Cloud Connector installed and configured

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, skyhigh-casb-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.

Collect Skyhigh Security CASB API credentials

Create API client credentials

  1. Sign in to the Skyhigh Security console.
  2. Go to Settings > Infrastructure > API Integration.
  3. Click Create API Client.
  4. Enter a name for the API client (for example, Google SecOps Integration).

  5. Select the following scopes:

    • Incidents: Read access to CASB incident data
    • Anomalies: Read access to anomaly events
    • Audit Logs: Read access to audit trail
  6. Click Create.

  7. Copy and save the following details in a secure location:

    • Client ID: The generated client identifier
    • Client Secret: The generated client secret (shown only once)

Get tenant base URL

  1. Sign in to the Skyhigh Security console.

  2. Note the base URL from the browser address bar. The format depends on your region:

    • US: https://www.myshn.net
    • EU: https://www.myshn.eu
    • SG: https://www.myshn.sg

Test API access

  • Test your credentials before proceeding with the integration:

    # Replace with your actual credentials
    CLIENT_ID="your-client-id"
    CLIENT_SECRET="your-client-secret"
    BASE_URL="https://www.myshn.net"
    
    # Get OAuth 2.0 access token
    TOKEN=$(curl -s -X POST "${BASE_URL}/shnapi/rest/external/api/v1/oauth/token" \
        -H "Content-Type: application/x-www-form-urlencoded" \
        -d "grant_type=client_credentials&client_id=${CLIENT_ID}&client_secret=${CLIENT_SECRET}" \
        | python3 -c "import sys,json; print(json.load(sys.stdin)['access_token'])")
    
    # Test API access - list incidents
    curl -v -H "Authorization: Bearer ${TOKEN}" \
        "${BASE_URL}/shnapi/rest/external/api/v1/incidents?limit=1"
    

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 skyhigh-casb-collector-sa
    • Service account description: Enter Service account for Cloud Run function to collect Skyhigh Security CASB 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

Grant the service account write permissions on the GCS bucket:

  1. Go to Cloud Storage > Buckets.
  2. Click on your bucket name (for example, skyhigh-casb-logs).
  3. Go to the Permissions tab.
  4. Click Grant access.

  5. Provide the following configuration details:

    • Add principals: Enter the service account email (for example, skyhigh-casb-collector-sa@PROJECT_ID.iam.gserviceaccount.com)
    • Assign roles: Select Storage Object Admin
  6. Click Save.

Create Pub/Sub topic

Create a Pub/Sub topic that Cloud Scheduler will publish to and the Cloud Run function will subscribe to.

  1. In the GCP Console, go to Pub/Sub > Topics.
  2. Click Create topic.

  3. Provide the following configuration details:

    • Topic ID: Enter skyhigh-casb-logs-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 Skyhigh Security CASB 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 skyhigh-casb-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 the topic skyhigh-casb-logs-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 the service account skyhigh-casb-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 skyhigh-casb-logs GCS bucket name
    GCS_PREFIX skyhigh-casb Prefix for log files
    STATE_KEY skyhigh-casb/state.json State file path
    SKYHIGH_BASE_URL https://www.myshn.net Skyhigh Security base URL
    SKYHIGH_CLIENT_ID your-client-id API Client ID
    SKYHIGH_CLIENT_SECRET your-client-secret API Client Secret
    MAX_RECORDS 5000 Max records per run
    PAGE_SIZE 100 Records per 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 (or adjust based on expected load)
  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
    from datetime import datetime, timezone, timedelta
    import time
    import base64
    import urllib.parse
    
    # Initialize HTTP client with timeouts
    http = urllib3.PoolManager(
      timeout=urllib3.Timeout(connect=5.0, read=30.0),
      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', 'skyhigh-casb')
    STATE_KEY = os.environ.get('STATE_KEY', 'skyhigh-casb/state.json')
    SKYHIGH_BASE_URL = os.environ.get('SKYHIGH_BASE_URL', '[https://www.myshn.net](https://www.myshn.net)')
    SKYHIGH_CLIENT_ID = os.environ.get('SKYHIGH_CLIENT_ID')
    SKYHIGH_CLIENT_SECRET = os.environ.get('SKYHIGH_CLIENT_SECRET')
    MAX_RECORDS = int(os.environ.get('MAX_RECORDS', '5000'))
    PAGE_SIZE = int(os.environ.get('PAGE_SIZE', '100'))
    LOOKBACK_HOURS = int(os.environ.get('LOOKBACK_HOURS', '24'))
    
    def get_access_token(base_url: str, client_id: str, client_secret: str) -> str:
      """Get OAuth 2.0 access token from Skyhigh Security."""
      token_url = f"{base_url}/shnapi/rest/external/api/v1/oauth/token"
      body = urllib.parse.urlencode({
        'grant_type': 'client_credentials',
        'client_id': client_id,
        'client_secret': client_secret,
      }).encode('utf-8')
    
      response = http.request(
        'POST',
        token_url,
        body=body,
        headers={'Content-Type': 'application/x-www-form-urlencoded'},
      )
    
      if response.status != 200:
        raise Exception(f"Failed to get access token: HTTP {response.status} - {response.data.decode('utf-8')}")
    
      token_data = json.loads(response.data.decode('utf-8'))
      return token_data['access_token']
    
    @functions_framework.cloud_event
    def main(cloud_event):
      """
      Cloud Run function triggered by Pub/Sub to fetch Skyhigh Security CASB
      logs and write to GCS.
    
      Args:
        cloud_event: CloudEvent object containing Pub/Sub message
      """
    
      if not all([GCS_BUCKET, SKYHIGH_BASE_URL, SKYHIGH_CLIENT_ID, SKYHIGH_CLIENT_SECRET]):
        print('Error: Missing required environment variables')
        return
    
      try:
        bucket = storage_client.bucket(GCS_BUCKET)
    
        # Load state
        state = load_state(bucket, STATE_KEY)
    
        # Determine time window
        now = datetime.now(timezone.utc)
        last_time = None
    
        if isinstance(state, dict) and state.get("last_event_time"):
          try:
            last_time = parse_datetime(state["last_event_time"])
            # Overlap by 2 minutes to catch any delayed events
            last_time = last_time - timedelta(minutes=2)
          except Exception as e:
            print(f"Warning: Could not parse last_event_time: {e}")
    
        if last_time is None:
          last_time = now - timedelta(hours=LOOKBACK_HOURS)
    
        print(f"Fetching logs from {last_time.isoformat()} to {now.isoformat()}")
    
        # Get OAuth token
        access_token = get_access_token(SKYHIGH_BASE_URL, SKYHIGH_CLIENT_ID, SKYHIGH_CLIENT_SECRET)
        print("Successfully obtained access token")
    
        all_records = []
        newest_time = None
    
        # Fetch incidents
        incidents, inc_newest = fetch_logs(
          base_url=SKYHIGH_BASE_URL,
          access_token=access_token,
          endpoint_path="/shnapi/rest/external/api/v1/incidents",
          start_time=last_time,
          end_time=now,
          page_size=PAGE_SIZE,
          max_records=MAX_RECORDS,
          log_category="incidents",
        )
        all_records.extend(incidents)
        if inc_newest:
          newest_time = inc_newest
    
        # Fetch anomalies
        anomalies, anom_newest = fetch_logs(
          base_url=SKYHIGH_BASE_URL,
          access_token=access_token,
          endpoint_path="/shnapi/rest/external/api/v1/anomalies",
          start_time=last_time,
          end_time=now,
          page_size=PAGE_SIZE,
          max_records=MAX_RECORDS,
          log_category="anomalies",
        )
        all_records.extend(anomalies)
        if anom_newest and (newest_time is None or parse_datetime(anom_newest) > parse_datetime(newest_time)):
          newest_time = anom_newest
    
        if not all_records:
          print("No new log records found.")
          save_state(bucket, STATE_KEY, now.isoformat())
          return
    
        # Write to GCS as NDJSON
        timestamp = now.strftime('%Y%m%d_%H%M%S')
        object_key = f"{GCS_PREFIX}/logs_{timestamp}.ndjson"
        blob = bucket.blob(object_key)
    
        ndjson = '\n'.join([json.dumps(record, ensure_ascii=False) for record in all_records]) + '\n'
        blob.upload_from_string(ndjson, content_type='application/x-ndjson')
    
        print(f"Wrote {len(all_records)} records to gs://{GCS_BUCKET}/{object_key}")
    
        # Update state with newest event time
        if newest_time:
          save_state(bucket, STATE_KEY, newest_time)
        else:
          save_state(bucket, STATE_KEY, now.isoformat())
    
        print(f"Successfully processed {len(all_records)} records")
    
      except Exception as e:
        print(f'Error processing logs: {str(e)}')
        raise
    
    def parse_datetime(value: str) -> datetime:
      """Parse ISO datetime string to datetime object."""
      if value.endswith("Z"):
        value = value[:-1] + "+00:00"
      return datetime.fromisoformat(value)
    
    def load_state(bucket, key):
      """Load state from GCS."""
      try:
        blob = bucket.blob(key)
        if blob.exists():
          state_data = blob.download_as_text()
          return json.loads(state_data)
      except Exception as e:
        print(f"Warning: Could not load state: {e}")
    
      return {}
    
    def save_state(bucket, key, last_event_time_iso: str):
      """Save the last event timestamp to GCS state file."""
      try:
        state = {'last_event_time': last_event_time_iso}
        blob = bucket.blob(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}")
    
    def fetch_logs(base_url: str, access_token: str, endpoint_path: str, start_time: datetime, end_time: datetime, page_size: int, max_records: int, log_category: str):
      """
      Fetch logs from Skyhigh Security CASB API with pagination
      and rate limiting.
    
      Args:
        base_url: Skyhigh Security base URL
        access_token: OAuth 2.0 access token
        endpoint_path: API endpoint path
        start_time: Start time for log query
        end_time: End time for log query
        page_size: Number of records per page
        max_records: Maximum total records to fetch
        log_category: Category name for logging
    
      Returns:
        Tuple of (records list, newest_event_time ISO string)
      """
      endpoint = f"{base_url.rstrip('/')}{endpoint_path}"
    
      headers = {
        'Authorization': f'Bearer {access_token}',
        'Accept': 'application/json',
        'Content-Type': 'application/json',
        'User-Agent': 'GoogleSecOps-SkyhighCASBCollector/1.0'
      }
    
      records = []
      newest_time = None
      page_num = 0
      backoff = 1.0
      offset = 0
    
      start_iso = start_time.strftime('%Y-%m-%dT%H:%M:%SZ')
      end_iso = end_time.strftime('%Y-%m-%dT%H:%M:%SZ')
    
      while True:
        page_num += 1
    
        if len(records) >= max_records:
          print(f"Reached max_records limit ({max_records}) for {log_category}")
          break
    
        limit = min(page_size, max_records - len(records))
        url = f"{endpoint}?start_time={start_iso}&end_time={end_iso}&offset={offset}&limit={limit}"
    
        try:
          response = http.request('GET', url, headers=headers)
    
          # Handle rate limiting with exponential backoff
          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, 30.0)
            continue
    
          backoff = 1.0
    
          if response.status != 200:
            print(f"HTTP Error: {response.status} for {log_category}")
            response_text = response.data.decode('utf-8')
            print(f"Response body: {response_text}")
            return [], None
    
          data = json.loads(response.data.decode('utf-8'))
    
          page_results = data.get('data', data.get('results', data.get('items', [])))
    
          if not page_results:
            print(f"No more results (empty page) for {log_category}")
            break
    
          print(f"Page {page_num}: Retrieved {len(page_results)} {log_category} events")
          records.extend(page_results)
    
          # Track newest event time
          for event in page_results:
            try:
              event_time = event.get('timestamp') or event.get('created_at') or event.get('eventTime')
              if event_time:
                if newest_time is None or parse_datetime(str(event_time)) > parse_datetime(str(newest_time)):
                  newest_time = str(event_time)
            except Exception as e:
              print(f"Warning: Could not parse event time: {e}")
    
          # If we got fewer results than requested, no more pages
          if len(page_results) < limit:
            print(f"Last page reached for {log_category}")
            break
    
          offset += len(page_results)
    
        except Exception as e:
          print(f"Error fetching {log_category} logs: {e}")
          return [], None
    
      print(f"Retrieved {len(records)} total {log_category} records from {page_num} pages")
      return records, newest_time
    
    • 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 skyhigh-casb-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 the topic skyhigh-casb-logs-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.
  2. Click Force run to trigger the job manually.
  3. Wait a few seconds.
  4. Go to Cloud Run > Services.
  5. Click on skyhigh-casb-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
    Successfully obtained access token
    Page 1: Retrieved X incidents events
    Page 1: Retrieved X anomalies events
    Wrote X records to gs://skyhigh-casb-logs/skyhigh-casb/logs_YYYYMMDD_HHMMSS.ndjson
    Successfully processed X records
    
  8. Go to Cloud Storage > Buckets.

  9. Click on your bucket name (skyhigh-casb-logs).

  10. Navigate to the skyhigh-casb/ folder.

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

If you see errors in the logs:

  • HTTP 401: Check API credentials in environment variables or token may be expired
  • HTTP 403: Verify API client has required scopes in Skyhigh Security console
  • HTTP 429: Rate limiting - function will automatically retry with backoff
  • Missing environment variables: Check all required variables are set

Configure a feed in Google SecOps to ingest Skyhigh Security CASB logs

  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, Skyhigh Security CASB Logs).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select McAfee Skyhigh CASB 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.

  9. Click Next.

  10. Specify values for the following input parameters:

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

      gs://skyhigh-casb-logs/skyhigh-casb/
      
      • Replace:
        • skyhigh-casb-logs: Your GCS bucket name.
        • skyhigh-casb: Optional prefix/folder path where logs are stored (leave empty for root).
    • 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 your bucket name.
  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.

UDM mapping table

Log Field UDM Mapping Logic
EventReceivedTime metadata.event_timestamp Converted to timestamp from yyyy-MM-dd HH:mm:ss format
FileSize target.file.size Directly mapped, converted to uinteger
Hostname principal.hostname Directly mapped
MessageSourceAddress principal.ip Directly mapped, merged if multiple instances
Severity additional.fields.value.string_value (key: SEVERITY) Directly mapped
SeverityValue additional.fields.value.string_value (key: SEVERITY_VALUE) Directly mapped
SourceModuleName additional.fields.value.string_value (key: SOURCE_MODULE_NAME) Directly mapped
SourceModuleType principal.resource.resource_subtype Directly mapped
SyslogFacility security_result.about.resource.attribute.labels.value (key: SYSLOG_FACILITY) Directly mapped
SyslogFacilityValue security_result.about.resource.attribute.labels.value (key: SYSLOG_FACILITY_VALUE) Directly mapped
SyslogSeverity security_result.about.resource.attribute.labels.value (key: SYSLOG_SEVERITY) Directly mapped
SyslogSeverityValue security_result.about.resource.attribute.labels.value (key: SYSLOG_SEVERITY_VALUE) Directly mapped
activityName metadata.product_event_type Directly mapped, brackets removed
actorId principal.user.userid Directly mapped, also added to email_addresses if it is an email
actorIdType principal.user.attribute.roles.name Directly mapped
collaborationSharedLink security_result.about.resource.attribute.labels.value (key: COLLABORATION_SHARED_LINK) Directly mapped
contentItemId target.file.full_path (if contentItemType is FILE) Directly mapped, quotes removed
contentItemId target.url (if contentItemType is SAAS_RESOURCE) Directly mapped, quotes removed
contentItemHierarchy additional.fields.value.string_value (key: CONTENT_ITEM_HIERARCHY) Directly mapped, quotes removed
contentItemName target.resource.name Directly mapped, quotes removed
contentItemType additional.fields.value.string_value (key: CONTENT_ITEM_TYPE) Directly mapped
incidentGroup security_result.detection_fields.value (key: INCIDENT_GROUP) Directly mapped
incidentId metadata.product_log_id Directly mapped
incidentRiskScore security_result.detection_fields.value (key: INCIDENT_RISK_SCORE) Directly mapped
incidentRiskSeverityId Used in combination with riskSeverity to determine security_result.severity
informationAccountId target.resource.product_object_id Directly mapped
informationAnomalyCategory security_result.category_details Directly mapped, quotes removed
informationAnomalyCause security_result.detection_fields.value (key: INFO_ANOMALY_CAUSE) Directly mapped, quotes removed
informationCategory security_result.category_details Directly mapped
informationConfigType additional.fields.value.string_value (key: INFORMATION_CONFIG_TYPE) Directly mapped, quotes removed
informationContentItemParent target.resource.parent Directly mapped, quotes removed
informationEventId additional.fields.value.string_value (key: INFORMATION_EVENT_ID) Directly mapped
informationExternalCollaboratorsCount additional.fields.value.string_value (key: INFORMATION_COLLAB_COUNT) Directly mapped
informationFileTypes additional.fields.value.list_value.values.string_value (key: FILE_TYPE) Extracted from JSON-like string, brackets and quotes removed
informationLastExecutedResponseLabel additional.fields.value.string_value (key: INFORMATION_LAST_RESPONSE) Directly mapped
informationScanName metadata.description Directly mapped, quotes removed
informationScanRunDate Not mapped to UDM
informationSource additional.fields.value.string_value (key: INFORMATION_SOURCE) Directly mapped
informationUniqueMatchCount additional.fields.value.string_value (key: INFORMATION_UNQ_MATCH_COUNT) Directly mapped
informationUserAttributesSAMAccountName principal.user.user_display_name Directly mapped, brackets removed
instanceId principal.resource.product_object_id Directly mapped
instanceName principal.resource.name Directly mapped, quotes removed
policyId security_result.rule_id Directly mapped
policyName security_result.summary Directly mapped, quotes removed
response Used to determine security_result.action (ALLOW or BLOCK)
riskSeverity Used in combination with incidentRiskSeverityId to determine security_result.severity, converted to uppercase
serviceNames target.application Directly mapped, brackets, quotes and extra spaces removed
sourceIps principal.ip Extracted from JSON-like string, merged if multiple instances
status additional.fields.value.string_value (key: STATUS) Directly mapped
threatCategory security_result.threat_name Directly mapped, quotes removed
totalMatchCount security_result.detection_fields.value (key: TOTAL_MATCH_COUNT) Directly mapped
N/A metadata.vendor_name MCAFEE - Static value
N/A metadata.product_name MCAFEE_SKYHIGH_CASB - Static value
N/A metadata.log_type MCAFEE_SKYHIGH_CASB - Static value
N/A principal.resource.type VIRTUAL_MACHINE - Set if instanceName or instanceId are present
N/A metadata.event_type Determined based on a set of conditions: - USER_RESOURCE_UPDATE_CONTENT if actorId, contentItemId or contentItemName are present - USER_UNCATEGORIZED if actorId and target are present - STATUS_UPDATE if Hostname or MessageSourceAddress are present - GENERIC_EVENT otherwise
N/A security_result.severity Determined based on the combination of riskSeverity and incidentRiskSeverityId: - LOW if riskSeverity is LOW and incidentRiskSeverityId is 0 - MEDIUM if riskSeverity is MEDIUM and incidentRiskSeverityId is 1 - HIGH if riskSeverity is HIGH and incidentRiskSeverityId is 2 - INFORMATIONAL if riskSeverity is INFO and incidentRiskSeverityId is 3

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