Collect Tenable Audit logs
This document explains how to ingest Tenable Audit logs to Google Security Operations using Google Cloud Storage V2.
Tenable Audit is a cloud-based vulnerability management platform (cloud.tenable.com) that generates audit logs for user authentication, API access, configuration changes, and administrative actions. The Tenable.io REST API provides programmatic access to these audit event logs.
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
- Privileged access to Tenable.io (cloud.tenable.com) with administrator permissions
- Tenable.io API keys (access key and secret key) with audit log read permissions
Create Google Cloud Storage bucket
- Go to the Google Cloud Console.
- Select your project or create a new one.
- In the navigation menu, go to Cloud Storage > Buckets.
- Click Create bucket.
Provide the following configuration details:
Setting Value Name your bucket Enter a globally unique name (for example, tenable-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 Click Create.
Collect Tenable.io API credentials
Generate API keys
- Sign in to Tenable.io.
- Click your user icon in the top-right corner and select My Account.
- Go to the API Keys tab.
- Click Generate to create a new API key pair.
Copy and save the following details in a secure location:
- Access Key: The API access key
- Secret Key: The API secret key
Verify API access
Test your credentials before proceeding with the integration:
# Replace with your actual credentials ACCESS_KEY="your-access-key" SECRET_KEY="your-secret-key" curl -s -H "X-ApiKeys: accessKey=${ACCESS_KEY};secretKey=${SECRET_KEY}" \ "https://cloud.tenable.com/audit-log/v1/events?limit=1" | head -c 500
Verify permissions
To verify the account has the required permissions:
- Sign in to Tenable.io.
- Go to Settings > Users.
- Verify that your account has Administrator role or a custom role with Audit Log read permissions.
- If you do not have the required permissions, contact your Tenable.io administrator.
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
- In the GCP Console, go to IAM & Admin > Service Accounts.
- Click Create Service Account.
- Provide the following configuration details:
- Service account name: Enter
tenable-audit-collector-sa - Service account description: Enter
Service account for Cloud Run function to collect Tenable Audit logs
- Service account name: Enter
- Click Create and Continue.
- In the Grant this service account access to project section, add the following roles:
- Click Select a role.
- Search for and select Storage Object Admin.
- Click + Add another role.
- Search for and select Cloud Run Invoker.
- Click + Add another role.
- Search for and select Cloud Functions Invoker.
- Click Continue.
- 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:
- Go to Cloud Storage > Buckets.
- Click on your bucket name (for example,
tenable-audit-logs). - Go to the Permissions tab.
- Click Grant access.
- Provide the following configuration details:
- Add principals: Enter the service account email (for example,
tenable-audit-collector-sa@PROJECT_ID.iam.gserviceaccount.com) - Assign roles: Select Storage Object Admin
- Add principals: Enter the service account email (for example,
- 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.
- In the GCP Console, go to Pub/Sub > Topics.
- Click Create topic.
- Provide the following configuration details:
- Topic ID: Enter
tenable-audit-trigger - Leave other settings as default
- Topic ID: Enter
- 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 Tenable.io REST API and write them to GCS.
- In the GCP Console, go to Cloud Run.
- Click Create service.
- Select Function (use an inline editor to create a function).
In the Configure section, provide the following configuration details:
Setting Value Service name tenable-audit-collectorRegion Select region matching your GCS bucket (for example, us-central1)Runtime Select Python 3.12 or later In the Trigger (optional) section:
- Click + Add trigger.
- Select Cloud Pub/Sub.
- In Select a Cloud Pub/Sub topic, choose the topic
tenable-audit-trigger. - Click Save.
In the Authentication section:
- Select Require authentication.
- Check Identity and Access Management (IAM).
Scroll down and expand Containers, Networking, Security.
Go to the Security tab:
- Service account: Select the service account
tenable-audit-collector-sa.
- Service account: Select the service account
Go to the Containers tab:
- Click Variables & Secrets.
- Click + Add variable for each environment variable:
Variable Name Example Value Description GCS_BUCKETtenable-audit-logsGCS bucket name GCS_PREFIXtenablePrefix for log files STATE_KEYtenable/state.jsonState file path TENABLE_ACCESS_KEYyour-access-keyTenable.io access key TENABLE_SECRET_KEYyour-secret-keyTenable.io secret key MAX_RECORDS5000Max records per run PAGE_SIZE1000Records per page LOOKBACK_HOURS24Initial lookback period In the Variables & Secrets section, scroll down to Requests:
- Request timeout: Enter
600seconds (10 minutes)
- Request timeout: Enter
Go to the Settings tab:
- In the Resources section:
- Memory: Select 512 MiB or higher
- CPU: Select 1
- In the Resources section:
In the Revision scaling section:
- Minimum number of instances: Enter
0 - Maximum number of instances: Enter
100(or adjust based on expected load)
- Minimum number of instances: Enter
Click Create.
Wait for the service to be created (1-2 minutes).
After the service is created, the inline code editor will open automatically.
Add function code
- Enter main in the Entry point field.
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 # 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', 'tenable') STATE_KEY = os.environ.get('STATE_KEY', 'tenable/state.json') TENABLE_ACCESS_KEY = os.environ.get('TENABLE_ACCESS_KEY') TENABLE_SECRET_KEY = os.environ.get('TENABLE_SECRET_KEY') MAX_RECORDS = int(os.environ.get('MAX_RECORDS', '5000')) PAGE_SIZE = int(os.environ.get('PAGE_SIZE', '1000')) LOOKBACK_HOURS = int(os.environ.get('LOOKBACK_HOURS', '24')) TENABLE_API_BASE = 'https://cloud.tenable.com' def to_unix_millis(dt: datetime) -> int: """Convert datetime to Unix epoch milliseconds.""" if dt.tzinfo is None: dt = dt.replace(tzinfo=timezone.utc) dt = dt.astimezone(timezone.utc) return int(dt.timestamp() * 1000) 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) @functions_framework.cloud_event def main(cloud_event): """ Cloud Run function triggered by Pub/Sub to fetch Tenable.io audit logs and write to GCS. Args: cloud_event: CloudEvent object containing Pub/Sub message """ if not all([GCS_BUCKET, TENABLE_ACCESS_KEY, TENABLE_SECRET_KEY]): 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()}") # Fetch logs records, newest_event_time = fetch_logs( start_time=last_time, end_time=now, page_size=PAGE_SIZE, max_records=MAX_RECORDS, ) if not 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 records]) + '\n' blob.upload_from_string(ndjson, content_type='application/x-ndjson') print(f"Wrote {len(records)} records to gs://{GCS_BUCKET}/{object_key}") # Update state with newest event time if newest_event_time: save_state(bucket, STATE_KEY, newest_event_time) else: save_state(bucket, STATE_KEY, now.isoformat()) print(f"Successfully processed {len(records)} records") except Exception as e: print(f'Error processing logs: {str(e)}') raise 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(start_time: datetime, end_time: datetime, page_size: int, max_records: int): """ Fetch audit event logs from Tenable.io REST API with pagination and rate limiting. Args: 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 Returns: Tuple of (records list, newest_event_time ISO string) """ endpoint = f"{TENABLE_API_BASE}/audit-log/v1/events" headers = { 'X-ApiKeys': f'accessKey={TENABLE_ACCESS_KEY};secretKey={TENABLE_SECRET_KEY}', 'Accept': 'application/json', 'User-Agent': 'GoogleSecOps-TenableAuditCollector/1.0' } records = [] newest_time = None page_num = 0 backoff = 1.0 next_token = None while True: page_num += 1 if len(records) >= max_records: print(f"Reached max_records limit ({max_records})") break # Build query parameters params = { 'f': f'date.gt:{start_time.strftime("%Y-%m-%dT%H:%M:%SZ")}', 'limit': min(page_size, max_records - len(records)) } if next_token: params['next'] = next_token query_string = '&'.join(f"{k}={v}" for k, v in params.items()) url = f"{endpoint}?{query_string}" 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}") 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('events', data.get('data', [])) if not page_results: print(f"No more results (empty page)") break print(f"Page {page_num}: Retrieved {len(page_results)} events") records.extend(page_results) # Track newest event time for event in page_results: try: event_ts = event.get('received') or event.get('timestamp') if event_ts: event_time = str(event_ts) if newest_time is None or parse_datetime(event_time) > parse_datetime(newest_time): newest_time = event_time except Exception as e: print(f"Warning: Could not parse event time: {e}") # Check for pagination token pagination = data.get('pagination', {}) next_token = pagination.get('next') if not next_token: print("No more pages (no next token)") break except Exception as e: print(f"Error fetching logs: {e}") return [], None print(f"Retrieved {len(records)} total records from {page_num} pages") return records, newest_time- requirements.txt:
functions-framework==3.* google-cloud-storage==2.* urllib3>=2.0.0Click Deploy to save and deploy the function.
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.
- In the GCP Console, go to Cloud Scheduler.
- Click Create Job.
Provide the following configuration details:
Setting Value Name tenable-audit-collector-hourlyRegion 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 tenable-audit-triggerMessage body {}(empty JSON object)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
- In the Cloud Scheduler console, find your job.
- Click Force run to trigger the job manually.
- Wait a few seconds.
- Go to Cloud Run > Services.
- Click on
tenable-audit-collector. - Click the Logs tab.
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 events Wrote X records to gs://tenable-audit-logs/tenable/logs_YYYYMMDD_HHMMSS.ndjson Successfully processed X recordsGo to Cloud Storage > Buckets.
Click on your bucket name (
tenable-audit-logs).Navigate to the
tenable/folder.Verify that a new
.ndjsonfile was created with the current timestamp.
If you see errors in the logs:
- HTTP 401: Check API keys in environment variables
- HTTP 403: Verify account has required administrator permissions in Tenable.io
- 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 Tenable Audit logs
- Go to SIEM Settings > Feeds.
- Click Add New Feed.
- Click Configure a single feed.
- In the Feed name field, enter a name for the feed (for example,
Tenable Audit Logs). - Select Google Cloud Storage V2 as the Source type.
- Select Tenable Audit as the Log type.
Click Get Service Account. A unique service account email will be displayed, for example:
chronicle-12345678@chronicle-gcp-prod.iam.gserviceaccount.comCopy this email address.
Click Next.
Specify values for the following input parameters:
Storage bucket URL: Enter the GCS bucket URI with the prefix path:
gs://tenable-audit-logs/tenable/- Replace:
tenable-audit-logs: Your GCS bucket name.tenable: Optional prefix/folder path where logs are stored (leave empty for root).
- Replace:
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
Click Next.
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.
- Go to Cloud Storage > Buckets.
- Click on your bucket name.
- Go to the Permissions tab.
- Click Grant access.
- Provide the following configuration details:
- Add principals: Paste the Google SecOps service account email
- Assign roles: Select Storage Object Viewer
- Click Save.
UDM mapping table
| Log Field | UDM Mapping | Logic |
|---|---|---|
| crud, fields | additional.fields | For crud: set crud_label.key = "crud", crud_label.value.string_value = %{crud}, merge crud_label to additional.fields; For fields: if field.key != "X-Forwarded-For" and not (field.key == "X-Access-Type" and field.value == "apikey"), set fields_label.key = field.key, fields_label.value.string_value = field.value, merge fields_label to additional.fields |
| fields | event.idm.read_only_udm.extensions.auth.mechanism | For field in fields, if field.key == "X-Access-Type" and field.value == "apikey", set to "MECHANISM_OTHER" |
| fields | event.idm.read_only_udm.extensions.auth.type | Set to "MACHINE" if X-Access-Type == "apikey" in fields, else "AUTHTYPE_UNSPECIFIED" |
| description | metadata.description | Value copied directly if description != "" |
| received | metadata.event_timestamp | Converted using date match patterns ISO8601, yyyy-MM-ddTHH:mm:ss.SSZ |
| has_principal, has_target, has_target_user, metadata.product_event_type | metadata.event_type | Set to "USER_LOGIN" if has_principal true, has_target true, has_target_user true, product_event_type =~ "user.authenticate"; else "USER_CREATION" if has_principal true, has_target true, has_target_user true, product_event_type =~ "user.create"; else "USER_DELETION" if has_principal true, has_target true, has_target_user true, product_event_type =~ "users.delete"; else "USER_LOGOUT" if has_principal true, has_target true, has_target_user true, product_event_type =~ "user.logout"; else "STATUS_UPDATE" if has_principal true; else "USER_UNCATEGORIZED" if has_user true; else "GENERIC_EVENT" |
| action | metadata.product_event_type | Value copied directly if action != "" |
| id | metadata.product_log_id | Value copied directly if id != "" |
| fields | principal.asset.ip | For field in fields, if field.key == "X-Forwarded-For", parse field.value as JSON {"ips":[...]}, for each ip in ips, merge ip to principal.asset.ip |
| fields | principal.ip | For field in fields, if field.key == "X-Forwarded-For", parse field.value as JSON {"ips":[...]}, for each ip in ips, merge ip to principal.ip |
| actor.name | principal.user.email_addresses | Merged if actor.name =~ "^.+@.+$" |
| actor.id | principal.user.userid | Value copied directly if actor.id != "" |
| is_failure | security_result.category | Set to "AUTH_VIOLOATION" if is_failure == "true" |
| is_anonymous, is_failure | security_result.detection_fields | For is_anonymous: convert to string, set is_anonymous_label.key = "is_anonymous", value = %{is_anonymous}, merge if not empty; same for is_failure with key "is_failure" |
| target1.name | target.user.email_addresses | Merged if target1.name =~ "^.+@.+$" |
| target1.type | target.user.role_name | Value copied directly if target1.type != "" |
| target1.id | target.user.userid | Value copied directly if target1.id != "" |
| metadata.product_name | Set to "TENABLE AUDIT" | |
| metadata.vendor_name | Set to "TENABLE" |
Need more help? Get answers from Community members and Google SecOps professionals.