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    Collect Okta Advanced Server Access logs

    Supported in:

    This document explains how to ingest Okta Advanced Server Access logs to Google Security Operations using Google Cloud Storage V2.

    Okta Advanced Server Access (formerly ScaleFT) is a privileged access management solution that provides SSH and RDP access to servers with ephemeral certificates and comprehensive audit logging. The platform retains audit events for 90 days and provides an API to retrieve these events for long-term storage and analysis in SIEM platforms.

    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
    • Administrator access to your Okta Advanced Server Access team
    • Ability to create service users and API keys in Advanced Server Access

    Configure Okta Advanced Server Access API access

    To enable Google SecOps to retrieve audit events, you need to create a service user and generate an API key. Service users are special accounts designed for automation and API integrations.

    Create a service user

    1. Sign in to the Advanced Server Access dashboard .
    2. Go to Users.
    3. Select the Service Userstab.
    4. Click Create Service User.

    5. In the Usernamefield, enter a descriptive name for the service user (for example, chronicle-integration ).

    6. Click Create Service User.

    Generate an API key

    1. On the service user details page, click Create API Key.

    2. Copy and save the following credentials immediately:

      • API Key ID: A UUID that identifies the API key (for example, 6052868b-1b04-4a14-8288-e6496d7f2f4b )
      • API Key Secret: A base64-encoded secret string used to authenticate API requests

    3. Click Done.

    Assign the service user to a group with appropriate permissions

    Service users must be members of a group with appropriate team-wide roles to access the Audits API.

    1. In the Advanced Server Access dashboard, go to Groups.
    2. Select an existing group or create a new group for API access.
    3. Click the group name to open the group details.
    4. Select the Userstab.
    5. Click Add User.
    6. Search for and select the service user (for example, chronicle-integration ).
    7. Click Add.
    8. Select the Rolestab.

    9. Ensure the group has one of the following team-wide roles:

      • reporting_user: Read-only access to all endpoints (recommended for log ingestion)
      • access_admin: Full administrative access (grants all CRUD permissions)

    10. If the required role is not assigned, click Add Role, select reporting_useror access_admin, and click Save.

    Verify permissions

    To verify the service user has the required permissions:

    1. In the Advanced Server Access dashboard, go to Groups.
    2. Click on the group containing the service user (for example, chronicle-integration ).
    3. Select the Rolestab.
    4. Confirm the reporting_useror access_adminrole is listed.
    5. If you cannot see the Roles tab, contact your administrator to grant appropriate access.

    Test API access

    • Test your credentials before proceeding with the integration:

        # Replace with your actual credentials 
 TEAM_NAME 
 = 
 "your-team-name" 
 KEY_ID 
 = 
 "your-api-key-id" 
 KEY_SECRET 
 = 
 "your-api-key-secret" 
 # Obtain bearer token 
 TOKEN 
 = 
 $( 
curl  
-s  
-X  
POST  
 "https://app.scaleft.com/v1/teams/ 
 ${ 
 TEAM_NAME 
 } 
 /service_token" 
  
 \ 
  
-H  
 "Content-Type: application/json" 
  
 \ 
  
-d  
 "{\"key_id\": \" 
 ${ 
 KEY_ID 
 } 
 \", \"key_secret\": \" 
 ${ 
 KEY_SECRET 
 } 
 \"}" 
  
 \ 
  
 | 
  
python3  
-c  
 "import sys,json; print(json.load(sys.stdin)['bearer_token'])" 
 ) 
 # Test audit events access 
curl  
-s  
-H  
 "Authorization: Bearer 
 ${ 
 TOKEN 
 } 
 " 
  
 \ 
  
 "https://app.scaleft.com/v1/teams/ 
 ${ 
 TEAM_NAME 
 } 
 /auditsV2?count=5" 
  
 \ 
  
 | 
  
python3  
-m  
json.tool

    A successful response returns a JSON array of recent audit events.

    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, okta-asa-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.

    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 okta-asa-collector-sa
      • Service account description: Enter Service account for Cloud Run function to collect Okta Advanced Server Access audit 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.

    Grant IAM permissions on GCS bucket

    1. Go to Cloud Storage > Buckets.
    2. Click on your bucket name ( okta-asa-audit-logs ).
    3. Go to the Permissionstab.
    4. Click Grant access.
    5. Provide the following configuration details:
      • Add principals: Enter the service account email ( okta-asa-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 okta-asa-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 Okta Advanced Server Access Audits 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 okta-asa-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 okta-asa-audit-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 okta-asa-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
      		okta-asa-audit-logs GCS bucket name
      GCS_PREFIX
      		okta-asa-audit Prefix for log files
      STATE_KEY
      		okta-asa-audit/state.json State file path
      ASA_TEAM_NAME
      		your-team-name Advanced Server Access team name
      ASA_KEY_ID
      		your-api-key-id Service user API key ID
      ASA_KEY_SECRET
      		your-api-key-secret Service user API key secret
      MAX_RECORDS
      		5000 Max records per run
      PAGE_SIZE
      		1000 Records per API page (max 1000)
      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

    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:

      • main.py:

          import 
  
 functions_framework 
 from 
  
 google.cloud 
  
 import 
  storage 
 
 import 
  
 json 
 import 
  
 os 
 import 
  
 urllib3 
 from 
  
 datetime 
  
 import 
 datetime 
 , 
 timezone 
 , 
 timedelta 
 import 
  
 time 
 http 
 = 
 urllib3 
 . 
 PoolManager 
 ( 
 timeout 
 = 
 urllib3 
 . 
 Timeout 
 ( 
 connect 
 = 
 10.0 
 , 
 read 
 = 
 60.0 
 ), 
 retries 
 = 
 False 
 , 
 ) 
 storage_client 
 = 
  storage 
 
 . 
  Client 
 
 () 
 GCS_BUCKET 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'GCS_BUCKET' 
 ) 
 GCS_PREFIX 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'GCS_PREFIX' 
 , 
 'okta-asa-audit' 
 ) 
 STATE_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'STATE_KEY' 
 , 
 'okta-asa-audit/state.json' 
 ) 
 ASA_TEAM_NAME 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'ASA_TEAM_NAME' 
 ) 
 ASA_KEY_ID 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'ASA_KEY_ID' 
 ) 
 ASA_KEY_SECRET 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'ASA_KEY_SECRET' 
 ) 
 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' 
 )) 
 ASA_API_BASE 
 = 
 'https://app.scaleft.com' 
 @functions_framework 
 . 
 cloud_event 
 def 
  
 main 
 ( 
 cloud_event 
 ): 
 if 
 not 
 all 
 ([ 
 GCS_BUCKET 
 , 
 ASA_TEAM_NAME 
 , 
 ASA_KEY_ID 
 , 
 ASA_KEY_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_offset' 
 ): 
 last_offset 
 = 
 state 
 [ 
 'last_offset' 
 ] 
 else 
 : 
 last_offset 
 = 
 None 
 print 
 ( 
 f 
 "Starting audit log collection (last_offset= 
 { 
 last_offset 
 } 
 )" 
 ) 
 token 
 = 
 get_bearer_token 
 () 
 records 
 , 
 newest_offset 
 = 
 fetch_audit_events 
 ( 
 token 
 = 
 token 
 , 
 last_offset 
 = 
 last_offset 
 , 
 page_size 
 = 
 PAGE_SIZE 
 , 
 max_records 
 = 
 MAX_RECORDS 
 , 
 ) 
 if 
 not 
 records 
 : 
 print 
 ( 
 "No new audit records found." 
 ) 
 return 
 timestamp 
 = 
 now 
 . 
 strftime 
 ( 
 '%Y%m 
 %d 
 _%H%M%S' 
 ) 
 object_key 
 = 
 f 
 " 
 { 
 GCS_PREFIX 
 } 
 /okta_asa_audit_ 
 { 
 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 
 } 
 " 
 ) 
 if 
 newest_offset 
 : 
 save_state 
 ( 
 bucket 
 , 
 newest_offset 
 ) 
 print 
 ( 
 f 
 "Successfully processed 
 { 
 len 
 ( 
 records 
 ) 
 } 
 records" 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 'Error processing logs: 
 { 
 str 
 ( 
 e 
 ) 
 } 
 ' 
 ) 
 raise 
 def 
  
 get_bearer_token 
 (): 
 url 
 = 
 f 
 " 
 { 
 ASA_API_BASE 
 } 
 /v1/teams/ 
 { 
 ASA_TEAM_NAME 
 } 
 /service_token" 
 body 
 = 
 json 
 . 
 dumps 
 ({ 
 'key_id' 
 : 
 ASA_KEY_ID 
 , 
 'key_secret' 
 : 
 ASA_KEY_SECRET 
 }) 
 . 
 encode 
 ( 
 'utf-8' 
 ) 
 response 
 = 
 http 
 . 
 request 
 ( 
 'POST' 
 , 
 url 
 , 
 body 
 = 
 body 
 , 
 headers 
 = 
 { 
 'Content-Type' 
 : 
 'application/json' 
 } 
 ) 
 if 
 response 
 . 
 status 
 != 
 200 
 : 
 raise 
 Exception 
 ( 
 f 
 "Service token request failed: 
 { 
 response 
 . 
 status 
 } 
 - " 
 f 
 " 
 { 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 ) 
 } 
 " 
 ) 
 data 
 = 
 json 
 . 
 loads 
 ( 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 )) 
 token 
 = 
 data 
 . 
 get 
 ( 
 'bearer_token' 
 ) 
 if 
 not 
 token 
 : 
 raise 
 Exception 
 ( 
 "No bearer_token in service token response" 
 ) 
 print 
 ( 
 "Successfully obtained ASA bearer token" 
 ) 
 return 
 token 
 def 
  
 fetch_audit_events 
 ( 
 token 
 , 
 last_offset 
 , 
 page_size 
 , 
 max_records 
 ): 
 endpoint 
 = 
 f 
 " 
 { 
 ASA_API_BASE 
 } 
 /v1/teams/ 
 { 
 ASA_TEAM_NAME 
 } 
 /auditsV2" 
 headers 
 = 
 { 
 'Authorization' 
 : 
 f 
 'Bearer 
 { 
 token 
 } 
 ' 
 , 
 'Accept' 
 : 
 'application/json' 
 , 
 } 
 records 
 = 
 [] 
 page_num 
 = 
 0 
 backoff 
 = 
 1.0 
 current_offset 
 = 
 last_offset 
 while 
 True 
 : 
 page_num 
 += 
 1 
 if 
 len 
 ( 
 records 
 ) 
> = 
 max_records 
 : 
 print 
 ( 
 f 
 "Reached max_records limit ( 
 { 
 max_records 
 } 
 )" 
 ) 
 break 
 params 
 = 
 [ 
 f 
 "count= 
 { 
 page_size 
 } 
 " 
 ] 
 if 
 current_offset 
 : 
 params 
 . 
 append 
 ( 
 f 
 "offset= 
 { 
 current_offset 
 } 
 " 
 ) 
 url 
 = 
 f 
 " 
 { 
 endpoint 
 } 
 ? 
 { 
 '&' 
 . 
 join 
 ( 
 params 
 ) 
 } 
 " 
 try 
 : 
 response 
 = 
 http 
 . 
 request 
 ( 
 'GET' 
 , 
 url 
 , 
 headers 
 = 
 headers 
 ) 
 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 
 == 
 401 
 : 
 print 
 ( 
 "Token expired (401). Refreshing bearer token..." 
 ) 
 token 
 = 
 get_bearer_token 
 () 
 headers 
 [ 
 'Authorization' 
 ] 
 = 
 f 
 'Bearer 
 { 
 token 
 } 
 ' 
 continue 
 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 
 , 
 current_offset 
 data 
 = 
 json 
 . 
 loads 
 ( 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 )) 
 page_results 
 = 
 data 
 . 
 get 
 ( 
 'list' 
 , 
 []) 
 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 
 ) 
 # Extract next offset from Link header for pagination 
 link_header 
 = 
 response 
 . 
 headers 
 . 
 get 
 ( 
 'Link' 
 , 
 '' 
 ) 
 next_offset 
 = 
 extract_next_offset 
 ( 
 link_header 
 ) 
 if 
 next_offset 
 : 
 current_offset 
 = 
 next_offset 
 else 
 : 
 print 
 ( 
 "No more pages (no next link)" 
 ) 
 break 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Error fetching audit events: 
 { 
 e 
 } 
 " 
 ) 
 return 
 records 
 , 
 current_offset 
 print 
 ( 
 f 
 "Retrieved 
 { 
 len 
 ( 
 records 
 ) 
 } 
 total records from 
 { 
 page_num 
 } 
 pages" 
 ) 
 return 
 records 
 , 
 current_offset 
 def 
  
 extract_next_offset 
 ( 
 link_header 
 ): 
 if 
 not 
 link_header 
 : 
 return 
 None 
 parts 
 = 
 link_header 
 . 
 split 
 ( 
 ',' 
 ) 
 for 
 part 
 in 
 parts 
 : 
 if 
 'rel="next"' 
 in 
 part 
 : 
 url_part 
 = 
 part 
 . 
 split 
 ( 
 ';' 
 )[ 
 0 
 ] 
 . 
 strip 
 () 
 . 
 strip 
 ( 
 '<>' 
 ) 
 if 
 'offset=' 
 in 
 url_part 
 : 
 for 
 param 
 in 
 url_part 
 . 
 split 
 ( 
 '?' 
 )[ 
 - 
 1 
 ] 
 . 
 split 
 ( 
 '&' 
 ): 
 if 
 param 
 . 
 startswith 
 ( 
 'offset=' 
 ): 
 return 
 param 
 . 
 split 
 ( 
 '=' 
 , 
 1 
 )[ 
 1 
 ] 
 return 
 None 
 def 
  
 load_state 
 ( 
 bucket 
 ): 
 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_offset 
 ): 
 try 
 : 
 state 
 = 
 { 
 'last_offset' 
 : 
 last_offset 
 , 
 '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_offset= 
 { 
 last_offset 
 } 
 " 
 ) 
 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 Deployto save and deploy the function.

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

    Create Cloud Scheduler job

    1. In the GCP Console, go to Cloud Scheduler.
    2. Click Create Job.

    3. Provide the following configuration details:

      Setting Value
      Name okta-asa-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 okta-asa-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 Schedulerconsole, find your job ( okta-asa-collector-hourly ).
    2. Click Force runto trigger the job manually.
    3. Wait a few seconds.
    4. Go to Cloud Run > Services.
    5. Click on okta-asa-collector .
    6. Click the Logstab.

    7. Verify the function executed successfully. Look for:

       Starting audit log collection (last_offset=None)
Successfully obtained ASA bearer token
Page 1: Retrieved X events
Wrote X records to gs://okta-asa-audit-logs/okta-asa-audit/okta_asa_audit_YYYYMMDD_HHMMSS.ndjson
Successfully processed X records

    8. Go to Cloud Storage > Buckets.

    9. Click on okta-asa-audit-logs .

    10. Navigate to the okta-asa-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 ASA_KEY_ID and ASA_KEY_SECRET environment variables are correct
    • HTTP 403: Verify the service user has the reporting_useror access_adminrole
    • 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
    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, Okta ASA Audit Logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select Okta Advanced Server Accessas the Log type.
    7. Click Get Service Account.

    8. A unique service account email is displayed. For example:

       chronicle-12345678@chronicle-gcp-prod.iam.gserviceaccount.com

    9. Copy this email address for use in the next step.

    10. Click Next.

    11. Specify values for the following input parameters:

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

         gs://okta-asa-audit-logs/okta-asa-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

    12. Click Next.

    13. Review your new feed configuration in the Finalizescreen, and then click Submit.

    1. Go to Cloud Storage > Buckets.
    2. Click on okta-asa-audit-logs .
    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
    details.actor.details.email
    		 principal.user.email_addresses Value copied directly
    details.actor.details.first_name
    		 principal.user.first_name Value copied directly
    details.actor.details.full_name
    		 principal.user.user_display_name Value copied directly
    details.actor.details.last_name
    		 principal.user.last_name Value copied directly
    details.actor.details.user_type
    		 principal.user.attribute.roles Value copied directly
    details.actor.id
    		 principal.user.employee_id Value copied directly
    details.actor.name
    		 principal.user.userid Value from details.actor.name if not empty, else details.unix_user_name
    details.unix_user_name
    		 principal.user.userid
    details.actor.status
    		 principal.user.attribute.labels Merged as label with key "actor_status"
    details.actor.team_name
    		 principal.user.department Value copied directly
    details.actor.user_type
    		 principal.user.attribute.labels Merged as label with key "actor_user_type"
    details.client.description
    		 principal.application Value copied directly
    details.client.encrypted
    		 principal.asset.attribute.labels Converted to string, merged as label with key "details_client_encrypted"
    details.client.hostname
    		 principal.hostname, principal.asset.hostname Value copied directly
    details.client.id
    		 principal.user.product_object_id Value copied directly
    details.client.os
    		 principal.platform Set to WINDOWS if matches (?i)Win|win; LINUX if matches (?i)Lin|lin; MAC if matches (?i)Mac|ios|mac; ANDROID if matches (?i)Android|android
    details.client.os
    		 principal.platform_version Extracted major.minor.patch from os string using grok
    details.client.state
    		 principal.resource.attribute.labels Merged as label with key "client_state"
    details.client.user_name
    		 target.user.userid Value copied directly
    details.client_ip
    		 principal.ip, principal.asset.ip Extracted IP using grok pattern
    details.from_address
    		 principal.ip, principal.asset.ip Extracted IP using grok pattern
    details.project.create_server_users
    		 target.resource.attribute.labels Converted to string, merged as label with key "project_create_server_users"
    details.project.force_shared_ssh_users
    		 target.resource.attribute.labels Converted to string, merged as label with key "project_force_shared_ssh_users"
    details.project.forward_traffic
    		 target.resource.attribute.labels Converted to string, merged as label with key "project_forward_traffic"
    details.project.id
    		 target.resource.id Value copied directly
    details.project.name
    		 target.resource.name Value copied directly
    details.project.next_unix_gid
    		 target.resource.attribute.labels Converted to string, merged as label with key "next_unix_gid"
    details.project.next_unix_uid
    		 target.resource.attribute.labels Converted to string, merged as label with key "next_unix_uid"
    details.project.rdp_session_recording
    		 target.resource.attribute.labels Converted to string, merged as label with key "project_rdp_session_recording"
    details.project.require_preauth_for_creds
    		 target.resource.attribute.labels Converted to string, merged as label with key "project_require_preauth_for_creds"
    details.project.ssh_certificate_type
    		 target.resource.attribute.labels Merged as label with key "project_ssh_certificate_type"
    details.project.ssh_session_recording
    		 target.resource.attribute.labels Converted to string, merged as label with key "project_ssh_session_recording"
    details.project.team
    		 target.resource.attribute.labels Merged as label with key "project_team"
    details.server.alt_names
    		 target.hostname, target.asset.hostname, target.resource.attribute.labels First alt_name set to target.hostname and target.asset.hostname, others merged as labels with key "alt_name"
    details.server.hostname
    		 intermediary_value.hostname Value copied directly
    details.server.id
    		 intermediary_value.resource.attribute.labels Merged as label with key "details_server_id"
    details.server.os
    		 intermediary_value.platform_version Value copied directly
    details.server.os
    		 intermediary_value.resource.attribute.labels Merged as label with key "details_server_os"
    details.server.os_type
    		 intermediary_value.platform Set to LINUX if matches (?i)linux; WINDOWS if matches (?i)windows; MAC if matches (?i)mac
    details.server.services
    		 intermediary_value.resource.attribute.labels Merged as labels with key "server_services {index}"
    details.server.source
    		 intermediary_value.resource.attribute.labels Merged as label with key "server_source"
    details.server.source_details.cloud_account
    		 intermediary_value.resource.attribute.labels Merged as label with key "server_source_details_cloud_account"
    details.server.source_details.cloud_provider
    		 intermediary_value.resource.attribute.labels Merged as label with key "server_source_details_cloud_provider"
    details.server.source_details.instance_id
    		 intermediary_value.resource.attribute.labels Merged as label with key "server_source_details_instance_id"
    details.server.state
    		 target.asset.attribute.labels Converted to string, merged as label with key "server_state"
    details.server.team_name
    		 intermediary_value.user.department Value copied directly
    details.server_hostnames
    		 target.hostname, target.resource.attribute.labels First hostname set to target.hostname, others merged as labels with key "server_hostname {index}"
    details.server_id
    		 target.resource.attribute.labels Merged as label with key "details_server_id"
    details.server_os
    		 target.platform_version Value copied directly
    details.server_os_type
    		 target.platform Set to LINUX if matches (?i)linux; WINDOWS if matches (?i)windows; MAC if matches (?i)mac
    details.server_state
    		 target.resource.attribute.labels Merged as label with key "details_server_state"
    details.session_type
    		 extensions.auth.auth_details Value copied directly
    details.session_type
    		 security_result.detection_fields Merged as label with key "session_type"
    details.servers
    		 intermediary Processed and merged as intermediary object
    details.ssh_algorithm
    		 network.tls.cipher Value copied directly
    details.ssh_key_fingerprint
    		 target.asset.attribute.labels Merged as label with key "ssh_key_fingerprint"
    details.ssh_public_key
    		 security_result.detection_fields Merged as label with key "ssh_public_key"
    details.target_server
    		 target.application Value copied directly
    details.team_id
    		 principal.resource.id Value copied directly
    details.team_id
    		 target.resource.id Value copied directly
    details.team_name
    		 additional.fields Merged as label with key "team_name"
    details.trace_id
    		 network.session_id Value copied directly
    details.type
    		 metadata.product_event_type Value copied directly
    details.username
    		 target.user.user_display_name Value copied directly
    details.via
    		 network.session_id Value copied directly
    details_server
    		 intermediary_value Processed and merged as intermediary_value object
    id
    		 additional.fields Merged as label with key "id"
    timestamp
    		 metadata.event_timestamp Converted using ISO8601 format
    extensions.auth.type
    		 extensions.auth.type Set to "SSO" if metadata.event_type is USER_LOGIN
    intermediary_value
    		 intermediary Merged from intermediary_value if not empty
    has_principal_user
    		 metadata.event_type Set to USER_LOGIN if has_principal_user and has_target_user or has_principal_user and has_target and details_type matches login; else USER_UNCATEGORIZED if has_principal_user; else STATUS_UPDATE if has_principal
    has_target_user
    		 metadata.event_type
    metadata.product_name
    		 metadata.product_name Set to "OKTA_SCALEFT"
    metadata.vendor_name
    		 metadata.vendor_name Set to "OKTA_SCALEFT"

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