Console
    Start free

    Collect SecureLink logs

    Supported in:

    This document explains how to ingest SecureLink logs to Google Security Operations using Google Cloud Storage V2.

    SecureLink (now Imprivata Privileged Remote Access) is a cloud-based third-party remote access platform for secure vendor and privileged access management. The SecureLink REST API provides programmatic access to session logs, authentication events, and administrative audit logs.

    Before you begin

    Make sure 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 the SecureLink admin portal with administrator permissions
    • A SecureLink API key with audit log read access

    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, securelink-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.

    Generate API key

    1. Sign in to the SecureLinkadmin portal.
    2. Go to Administration > API Keys(or Administration > Integrations > API).
    3. Click Generate API Key.
    4. Enter a name for the API key (for example, Google SecOps Integration ).
    5. Select the required permissions:
      • Audit Log Read: Access to session and authentication logs
      • Session Read: Access to remote access session data
    6. Click Generate.

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

      • API Key: The generated API key value
      • Organization ID: Your SecureLink organization ID (visible in the admin portal URL or Settings page)

    Determine API base URL

    The SecureLink API base URL:

    Environment API Base URL
    Production https://api.securelink.com/v1

    Test API access

    • Test your credentials before proceeding with the integration:

        # Replace with your actual credentials 
 SECURELINK_API_KEY 
 = 
 "your-api-key" 
 SECURELINK_ORG_ID 
 = 
 "your-org-id" 
 # Test API access - list recent audit logs 
curl  
-s  
-X  
GET  
 "https://api.securelink.com/v1/audit-logs?limit=1" 
  
 \ 
  
-H  
 "Authorization: Bearer 
 ${ 
 SECURELINK_API_KEY 
 } 
 " 
  
 \ 
  
-H  
 "X-Organization-Id: 
 ${ 
 SECURELINK_ORG_ID 
 } 
 " 
  
 \ 
  
-H  
 "Accept: application/json"

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

    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 securelink-logs-collector-sa
      • Service account description: Enter Service account for Cloud Run function to collect SecureLink logs
    4. Click Create and Continue.
    5. In the Grant this service account access to projectsection, 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, securelink-logs ).
    3. Go to the Permissionstab.
    4. Click Grant access.
    5. Provide the following configuration details:
      • Add principals: Enter the service account email (for example, securelink-logs-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 securelink-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 SecureLink 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 Configuresection, provide the following configuration details:

      Setting Value
      Service name securelink-logs-collector
      Region Select region matching your GCS bucket (for example, us-central1 )
      Runtime Select Python 3.12or 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 securelink-logs-trigger .
      4. Click Save.

    6. In the Authenticationsection:

      1. Select Require authentication.
      2. Check Identity and Access Management (IAM).

    7. Scroll down and expand Containers, Networking, Security.

    8. Go to the Securitytab:

      • Service account: Select the service account securelink-logs-collector-sa .

    9. Go to the Containerstab:

      1. Click Variables & Secrets.
      2. Click + Add variablefor each environment variable:
      Variable Name Example Value Description
      GCS_BUCKET
      		securelink-logs GCS bucket name
      GCS_PREFIX
      		securelink Prefix for log files
      STATE_KEY
      		securelink/state.json State file path
      SECURELINK_API_KEY
      		your-api-key SecureLink API key
      SECURELINK_ORG_ID
      		your-org-id SecureLink organization ID
      SECURELINK_API_BASE
      		https://api.securelink.com/v1 SecureLink API base URL
      MAX_RECORDS
      		5000 Max records per run
      PAGE_SIZE
      		1000 Records per page
      LOOKBACK_HOURS
      		24 Initial lookback period

    10. In the Variables & Secretssection, scroll down to Requests:

      • Request timeout: Enter 600 seconds (10 minutes)

    11. Go to the Settingstab:

      • In the Resourcessection:
        • Memory: Select 512 MiBor higher
        • CPU: Select 1

    12. In the Revision scalingsection:

      • 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 editorwill open automatically.

    Add function code

    1. Enter mainin the Entry pointfield.

    2. In the inline code editor, create two files:

      • First file 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' 
 , 
 'securelink' 
 ) 
 STATE_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'STATE_KEY' 
 , 
 'securelink/state.json' 
 ) 
 SECURELINK_API_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'SECURELINK_API_KEY' 
 ) 
 SECURELINK_ORG_ID 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'SECURELINK_ORG_ID' 
 ) 
 SECURELINK_API_BASE 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'SECURELINK_API_BASE' 
 , 
 'https://api.securelink.com/v1' 
 ) 
 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' 
 )) 
 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 SecureLink 
 audit and session logs and write to GCS. 
 Args: 
 cloud_event: CloudEvent object containing Pub/Sub message 
 """ 
 if 
 not 
 all 
 ([ 
 GCS_BUCKET 
 , 
 SECURELINK_API_KEY 
 , 
 SECURELINK_ORG_ID 
 ]): 
 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 from multiple endpoints 
 all_records 
 = 
 [] 
 newest_event_time 
 = 
 None 
 for 
 endpoint_type 
 in 
 [ 
 'audit-logs' 
 , 
 'sessions' 
 ]: 
 records 
 , 
 newest_time 
 = 
 fetch_logs 
 ( 
 endpoint_type 
 = 
 endpoint_type 
 , 
 start_time 
 = 
 last_time 
 , 
 end_time 
 = 
 now 
 , 
 page_size 
 = 
 PAGE_SIZE 
 , 
 max_records 
 = 
 MAX_RECORDS 
 , 
 ) 
 all_records 
 . 
 extend 
 ( 
 records 
 ) 
 if 
 newest_time 
 : 
 if 
 newest_event_time 
 is 
 None 
 or 
 parse_datetime 
 ( 
 newest_time 
 ) 
> parse_datetime 
 ( 
 newest_event_time 
 ): 
 newest_event_time 
 = 
 newest_time 
 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_event_time 
 : 
 save_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 , 
 newest_event_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 
  
 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 
 ( 
 endpoint_type 
 : 
 str 
 , 
 start_time 
 : 
 datetime 
 , 
 end_time 
 : 
 datetime 
 , 
 page_size 
 : 
 int 
 , 
 max_records 
 : 
 int 
 ): 
  
 """ 
 Fetch logs from SecureLink REST API 
 with cursor-based pagination and rate limiting. 
 Args: 
 endpoint_type: API endpoint type (audit-logs, sessions) 
 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) 
 """ 
 api_base 
 = 
 SECURELINK_API_BASE 
 . 
 rstrip 
 ( 
 '/' 
 ) 
 endpoint 
 = 
 f 
 " 
 { 
 api_base 
 } 
 / 
 { 
 endpoint_type 
 } 
 " 
 headers 
 = 
 { 
 'Authorization' 
 : 
 f 
 'Bearer 
 { 
 SECURELINK_API_KEY 
 } 
 ' 
 , 
 'X-Organization-Id' 
 : 
 SECURELINK_ORG_ID 
 , 
 'Accept' 
 : 
 'application/json' 
 , 
 'User-Agent' 
 : 
 'GoogleSecOps-SecureLinkCollector/1.0' 
 } 
 records 
 = 
 [] 
 newest_time 
 = 
 None 
 page_num 
 = 
 0 
 backoff 
 = 
 1.0 
 cursor 
 = 
 None 
 start_iso 
 = 
 start_time 
 . 
 strftime 
 ( 
 '%Y-%m- 
 %d 
 T%H:%M:%SZ' 
 ) 
 end_iso 
 = 
 end_time 
 . 
 strftime 
 ( 
 '%Y-%m- 
 %d 
 T%H:%M:%SZ' 
 ) 
 while 
 True 
 : 
 page_num 
 += 
 1 
 if 
 len 
 ( 
 records 
 ) 
> = 
 max_records 
 : 
 print 
 ( 
 f 
 "Reached max_records limit ( 
 { 
 max_records 
 } 
 ) for 
 { 
 endpoint_type 
 } 
 " 
 ) 
 break 
 url 
 = 
 f 
 " 
 { 
 endpoint 
 } 
 ?startDate= 
 { 
 start_iso 
 } 
& endDate= 
 { 
 end_iso 
 } 
& limit= 
 { 
 min 
 ( 
 page_size 
 , 
  
 max_records 
  
 - 
  
 len 
 ( 
 records 
 )) 
 } 
 " 
 if 
 cursor 
 : 
 url 
 += 
 f 
 "&cursor= 
 { 
 cursor 
 } 
 " 
 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 
 records 
 , 
 newest_time 
 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 
 { 
 endpoint_type 
 } 
 " 
 ) 
 break 
 print 
 ( 
 f 
 " 
 { 
 endpoint_type 
 } 
 page 
 { 
 page_num 
 } 
 : Retrieved 
 { 
 len 
 ( 
 page_results 
 ) 
 } 
 events" 
 ) 
 # Add endpoint type for identification 
 for 
 event 
 in 
 page_results 
 : 
 event 
 [ 
 '_securelink_log_type' 
 ] 
 = 
 endpoint_type 
 records 
 . 
 extend 
 ( 
 page_results 
 ) 
 # Track newest event time 
 for 
 event 
 in 
 page_results 
 : 
 try 
 : 
 event_ts 
 = 
 event 
 . 
 get 
 ( 
 'timestamp' 
 ) 
 or 
 event 
 . 
 get 
 ( 
 'createdAt' 
 ) 
 or 
 event 
 . 
 get 
 ( 
 'startTime' 
 ) 
 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 next cursor 
 cursor 
 = 
 data 
 . 
 get 
 ( 
 'cursor' 
 ) 
 or 
 data 
 . 
 get 
 ( 
 'nextCursor' 
 ) 
 or 
 data 
 . 
 get 
 ( 
 'next_cursor' 
 ) 
 if 
 not 
 cursor 
 : 
 if 
 len 
 ( 
 page_results 
 ) 
< page_size 
 : 
 print 
 ( 
 f 
 "No more pages for 
 { 
 endpoint_type 
 } 
 (last page not full)" 
 ) 
 else 
 : 
 print 
 ( 
 f 
 "No more pages for 
 { 
 endpoint_type 
 } 
 (no cursor)" 
 ) 
 break 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Error fetching 
 { 
 endpoint_type 
 } 
 logs: 
 { 
 e 
 } 
 " 
 ) 
 return 
 records 
 , 
 newest_time 
 print 
 ( 
 f 
 "Retrieved 
 { 
 len 
 ( 
 records 
 ) 
 } 
 total 
 { 
 endpoint_type 
 } 
 records from 
 { 
 page_num 
 } 
 pages" 
 ) 
 return 
 records 
 , 
 newest_time

      • Second file requirements.txt:

         functions-framework==3.*
google-cloud-storage==2.*
urllib3>=2.0.0

    3. Click Deployto 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 securelink-logs-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 securelink-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 Schedulerconsole, find your job.
    2. Click Force runto trigger the job manually.
    3. Wait a few seconds.
    4. Go to Cloud Run > Services.
    5. Click on securelink-logs-collector .
    6. Click the Logstab.

    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
audit-logs page 1: Retrieved X events
sessions page 1: Retrieved X events
Wrote X records to gs://securelink-logs/securelink/logs_YYYYMMDD_HHMMSS.ndjson
Successfully processed X records

    8. Go to Cloud Storage > Buckets.

    9. Click on your bucket name ( securelink-logs ).

    10. Navigate to the securelink/ 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 key and organization ID in environment variables
    • HTTP 403: Verify API key has required permissions in SecureLink admin portal
    • HTTP 429: Rate limiting - function will automatically retry with backoff
    • Missing environment variables: Check all required variables are set
    1. Go to SIEM Settings > Feeds.
    2. Click Add New Feed.
    3. Click Configure a single feed.
    4. In the Feed namefield, enter a name for the feed (for example, SecureLink Logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select SecureLinkas 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://securelink-logs/securelink/
        • Replace:
          • securelink-logs : Your GCS bucket name.
          • securelink : 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 Finalizescreen, and then click Submit.

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

    1. Go to Cloud Storage > Buckets.
    2. Click on your bucket name.
    3. Go to the Permissionstab.
    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
    additional_classification
    		 additional.fields Any important vendor-specific event data that cannot be adequately represented within the formal sections of the UDM model
    mechanism
    		 extensions.auth.mechanism Authentication mechanism
    		extensions.auth.type Authentication type
    msg, inner_message, desc
    		 metadata.description Description of the event
    		metadata.event_type Type of event (e.g., USER_LOGIN, NETWORK_CONNECTION)
    resource_name, _application_protocol
    		 network.application_protocol Application protocol (e.g., HTTP, FTP)
    method
    		 network.http.method HTTP method (e.g., GET, POST)
    		network.ip_protocol IP protocol (e.g., TCP, UDP)
    sessionId
    		 network.session_id Session ID
    principal_host
    		 principal.hostname Source hostname
    login_ip, src_ip, inner_ip, principal_host
    		 principal.ip Source IP address of the connection
    principal_port
    		 principal.port Source port number
    process_id
    		 principal.process.pid Process ID
    principal_uri
    		 principal.url URL associated with the principal
    username, key
    		 principal.user.email_addresses Email addresses associated with the user
    username, key, user_id
    		 principal.user.userid User ID
    security_action
    		 security_result.action Action taken (e.g., ALLOW, BLOCK)
    category
    		 security_result.category Category of the security result
    action, description
    		 security_result.description Description of the security result
    priority
    		 security_result.priority Priority of the security result
    method
    		 security_result.severity Severity of the security result
    priority
    		 security_result.severity_details Severity details
    reason
    		 security_result.summary Summary of the security result
    application, product_event_type
    		 target.application Application name
    pwd
    		 target.file.full_path Full path of the file
    target_host
    		 target.hostname Destination hostname
    dst_ip, target_host
    		 target.ip Destination IP address
    target_port
    		 target.port Destination port number
    command
    		 target.process.command_line Command line of the process
    		target.resource.type Type of resource
    url
    		 target.url URL associated with the target
    username, key
    		 target.user.email_addresses Email addresses associated with the target user
    name
    		 target.user.user_display_name Display name of the user
    username, key, user_id
    		 target.user.userid User ID of the target user
    		metadata.product_name Product name
    		metadata.vendor_name Vendor/company name

    Need more help? Get answers from Community members and Google SecOps professionals.

    Design a Mobile Site
    View Site in Mobile | Classic
    Share by: