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    Collect SailPoint IAM logs

    Supported in:

    This document explains how to ingest SailPoint IAM logs to Google Security Operations using Google Cloud Storage. SailPoint Identity Security Cloud provides identity governance and administration capabilities for managing user access, compliance, and security across enterprise applications.

    Before you begin

    Ensure 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 SailPoint Identity Security Cloud tenant or API

    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, sailpoint-iam-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 SailPoint Identity Security Cloud API credentials

    1. Sign in to the SailPoint Identity Security Cloud Admin Consoleas an administrator.
    2. Go to Admin > Global > Security Settings > API Management.
    3. Click Create API Client.
    4. Choose Client Credentialsas the grant type.
    5. Provide the following configuration details:
      • Name: Enter a descriptive name (for example, Chronicle Export API ).
      • Description: Enter description for the API client.
      • Scopes: Select sp:scopes:all(or appropriate read scopes for audit events).
    6. Click Createand copy the generated API credentials securely.
    7. Record your SailPoint tenant base URL (for example, https://tenant.api.identitynow.com ).

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

      • IDN_CLIENT_ID
      • IDN_CLIENT_SECRET
      • IDN_BASE

    Test API access

    • Test your credentials before proceeding with the integration:

        # Replace with your actual credentials 
 IDN_CLIENT_ID 
 = 
 "your-client-id" 
 IDN_CLIENT_SECRET 
 = 
 "your-client-secret" 
 IDN_BASE 
 = 
 "https://tenant.api.identitynow.com" 
 # Get OAuth token 
 TOKEN 
 = 
 $( 
curl  
-s  
-X  
POST  
 " 
 ${ 
 IDN_BASE 
 } 
 /oauth/token" 
  
 \ 
  
-H  
 "Content-Type: application/x-www-form-urlencoded" 
  
 \ 
  
-d  
 "grant_type=client_credentials&client_id= 
 ${ 
 IDN_CLIENT_ID 
 } 
& client_secret= 
 ${ 
 IDN_CLIENT_SECRET 
 } 
& scope=sp:scopes:all" 
  
 | 
  
jq  
-r  
 '.access_token' 
 ) 
 # Test API access 
curl  
-v  
-H  
 "Authorization: Bearer 
 ${ 
 TOKEN 
 } 
 " 
  
 " 
 ${ 
 IDN_BASE 
 } 
 /v3/search" 
  
 \ 
  
-H  
 "Content-Type: application/json" 
  
 \ 
  
-d  
 '{"indices":["events"],"query":{"query":"*"},"limit":1}'

    The Cloud Run function needs a service account with permissions to write to GCS bucket.

    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 sailpoint-iam-collector-sa .
      • Service account description: Enter Service account for Cloud Run function to collect SailPoint IAM logs .
    4. Click Create and Continue.
    5. In the Grant this service account access to projectsection:
      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 your bucket name.
    3. Go to the Permissionstab.
    4. Click Grant access.
    5. Provide the following configuration details:
      • Add principals: Enter the service account email.
      • 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 sailpoint-iam-trigger .
      • Leave other settings as default.
    4. Click Create.

    Create Cloud Run function to collect logs

    The Cloud Run function is triggered by Pub/Sub messages from Cloud Scheduler to fetch logs from SailPoint Identity Security Cloud API and writes 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 sailpoint-iam-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 Pub/Sub topic ( sailpoint-iam-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 ( sailpoint-iam-collector-sa ).

    9. Go to the Containerstab:

      1. Click Variables & Secrets.
      2. Click + Add variablefor each environment variable:
      Variable Name Example Value
      GCS_BUCKET sailpoint-iam-logs
      GCS_PREFIX sailpoint/iam/
      STATE_KEY sailpoint/iam/state.json
      WINDOW_SECONDS 3600
      HTTP_TIMEOUT 60
      MAX_RETRIES 3
      USER_AGENT sailpoint-iam-to-gcs/1.0
      IDN_BASE https://tenant.api.identitynow.com
      IDN_CLIENT_ID your-client-id
      IDN_CLIENT_SECRET your-client-secret
      IDN_SCOPE sp:scopes:all
      PAGE_SIZE 250
      MAX_PAGES 20

    10. Scroll down in the Variables & Secretstab to Requests:

      • Request timeout: Enter 600 seconds (10 minutes).

    11. Go to the Settingstab in Containers:

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

    12. Scroll down to Execution environment:

      • Select Default(recommended).

    13. In the Revision scalingsection:

      • Minimum number of instances: Enter 0 .
      • Maximum number of instances: Enter 100 (or adjust based on expected load).

    14. Click Create.

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

    16. After the service is created, the inline code editoropens automatically.

    Add function code

    1. Enter mainin Function entry point

    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 
 import 
  
 time 
 import 
  
 uuid 
 # Initialize HTTP client 
 http 
 = 
 urllib3 
 . 
 PoolManager 
 () 
 # Initialize Storage client 
 storage_client 
 = 
  storage 
 
 . 
  Client 
 
 () 
 # Get environment variables 
 GCS_BUCKET 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'GCS_BUCKET' 
 ) 
 GCS_PREFIX 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'GCS_PREFIX' 
 , 
 'sailpoint/iam/' 
 ) 
 STATE_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'STATE_KEY' 
 , 
 'sailpoint/iam/state.json' 
 ) 
 WINDOW_SEC 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'WINDOW_SECONDS' 
 , 
 '3600' 
 )) 
 HTTP_TIMEOUT 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'HTTP_TIMEOUT' 
 , 
 '60' 
 )) 
 IDN_BASE 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'IDN_BASE' 
 ) 
 CLIENT_ID 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'IDN_CLIENT_ID' 
 ) 
 CLIENT_SECRET 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'IDN_CLIENT_SECRET' 
 ) 
 SCOPE 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'IDN_SCOPE' 
 , 
 'sp:scopes:all' 
 ) 
 PAGE_SIZE 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'PAGE_SIZE' 
 , 
 '250' 
 )) 
 MAX_PAGES 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'MAX_PAGES' 
 , 
 '20' 
 )) 
 MAX_RETRIES 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'MAX_RETRIES' 
 , 
 '3' 
 )) 
 USER_AGENT 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'USER_AGENT' 
 , 
 'sailpoint-iam-to-gcs/1.0' 
 ) 
 def 
  
 _load_state 
 ( 
 bucket 
 ): 
  
 """Load state from GCS.""" 
 try 
 : 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 STATE_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: 
 { 
 str 
 ( 
 e 
 ) 
 } 
 ' 
 ) 
 return 
 {} 
 def 
  
 _save_state 
 ( 
 bucket 
 , 
 st 
 ): 
  
 """Save state to GCS.""" 
 try 
 : 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 STATE_KEY 
 ) 
 blob 
 . 
  upload_from_string 
 
 ( 
 json 
 . 
 dumps 
 ( 
 st 
 , 
 separators 
 = 
 ( 
 ',' 
 , 
 ':' 
 )), 
 content_type 
 = 
 'application/json' 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 'Warning: Could not save state: 
 { 
 str 
 ( 
 e 
 ) 
 } 
 ' 
 ) 
 def 
  
 _iso 
 ( 
 ts 
 ): 
  
 """Convert timestamp to ISO format.""" 
 return 
 time 
 . 
 strftime 
 ( 
 '%Y-%m- 
 %d 
 T%H:%M:%SZ' 
 , 
 time 
 . 
 gmtime 
 ( 
 ts 
 )) 
 def 
  
 _get_oauth_token 
 (): 
  
 """Get OAuth2 access token using Client Credentials flow.""" 
 token_url 
 = 
 f 
 " 
 { 
 IDN_BASE 
 . 
 rstrip 
 ( 
 '/' 
 ) 
 } 
 /oauth/token" 
 fields 
 = 
 { 
 'grant_type' 
 : 
 'client_credentials' 
 , 
 'client_id' 
 : 
 CLIENT_ID 
 , 
 'client_secret' 
 : 
 CLIENT_SECRET 
 , 
 'scope' 
 : 
 SCOPE 
 } 
 headers 
 = 
 { 
 'Content-Type' 
 : 
 'application/x-www-form-urlencoded' 
 , 
 'User-Agent' 
 : 
 USER_AGENT 
 } 
 response 
 = 
 http 
 . 
 request 
 ( 
 'POST' 
 , 
 token_url 
 , 
 fields 
 = 
 fields 
 , 
 headers 
 = 
 headers 
 , 
 timeout 
 = 
 HTTP_TIMEOUT 
 ) 
 token_data 
 = 
 json 
 . 
 loads 
 ( 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 )) 
 return 
 token_data 
 [ 
 'access_token' 
 ] 
 def 
  
 _search_events 
 ( 
 access_token 
 , 
 created_from 
 , 
 search_after 
 = 
 None 
 ): 
  
 """Search for audit events using SailPoint's /v3/search API. 
 IMPORTANT: SailPoint requires colons in ISO8601 timestamps to be escaped with backslashes. 
 Example: 2024-01-15T10:30:00Z must be sent as 2024-01-15T10\\:30\\:00Z 
 For more information, see: 
 - https://developer.sailpoint.com/docs/api/standard-collection-parameters/ 
 - https://developer.sailpoint.com/docs/api/v3/search-post/ 
 """ 
 search_url 
 = 
 f 
 " 
 { 
 IDN_BASE 
 . 
 rstrip 
 ( 
 '/' 
 ) 
 } 
 /v3/search" 
 # Escape colons in timestamp for SailPoint search query 
 escaped_timestamp 
 = 
 created_from 
 . 
 replace 
 ( 
 ':' 
 , 
 ' 
 \\ 
 :' 
 ) 
 query_str 
 = 
 f 
 'created:>= 
 { 
 escaped_timestamp 
 } 
 ' 
 payload 
 = 
 { 
 'indices' 
 : 
 [ 
 'events' 
 ], 
 'query' 
 : 
 { 
 'query' 
 : 
 query_str 
 }, 
 'sort' 
 : 
 [ 
 'created' 
 , 
 '+id' 
 ], 
 'limit' 
 : 
 PAGE_SIZE 
 } 
 if 
 search_after 
 : 
 payload 
 [ 
 'searchAfter' 
 ] 
 = 
 search_after 
 attempt 
 = 
 0 
 while 
 True 
 : 
 headers 
 = 
 { 
 'Content-Type' 
 : 
 'application/json' 
 , 
 'Accept' 
 : 
 'application/json' 
 , 
 'Authorization' 
 : 
 f 
 'Bearer 
 { 
 access_token 
 } 
 ' 
 , 
 'User-Agent' 
 : 
 USER_AGENT 
 } 
 try 
 : 
 response 
 = 
 http 
 . 
 request 
 ( 
 'POST' 
 , 
 search_url 
 , 
 body 
 = 
 json 
 . 
 dumps 
 ( 
 payload 
 ) 
 . 
 encode 
 ( 
 'utf-8' 
 ), 
 headers 
 = 
 headers 
 , 
 timeout 
 = 
 HTTP_TIMEOUT 
 ) 
 response_data 
 = 
 json 
 . 
 loads 
 ( 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 )) 
 # Handle different response formats 
 if 
 isinstance 
 ( 
 response_data 
 , 
 list 
 ): 
 return 
 response_data 
 return 
 response_data 
 . 
 get 
 ( 
 'results' 
 , 
 response_data 
 . 
 get 
 ( 
 'data' 
 , 
 [])) 
 except 
 Exception 
 as 
 e 
 : 
 attempt 
 += 
 1 
 print 
 ( 
 f 
 'HTTP error on attempt 
 { 
 attempt 
 } 
 : 
 { 
 e 
 } 
 ' 
 ) 
 if 
 attempt 
> MAX_RETRIES 
 : 
 raise 
 # Exponential backoff with jitter 
 time 
 . 
 sleep 
 ( 
 min 
 ( 
 60 
 , 
 2 
 ** 
 attempt 
 ) 
 + 
 ( 
 time 
 . 
 time 
 () 
 % 
 1 
 )) 
 def 
  
 _put_events_data 
 ( 
 bucket 
 , 
 events 
 , 
 from_ts 
 , 
 to_ts 
 , 
 page_num 
 ): 
  
 """Write events to GCS in JSONL format (one JSON object per line).""" 
 # Create unique GCS key for events data 
 ts_path 
 = 
 time 
 . 
 strftime 
 ( 
 '%Y/%m/ 
 %d 
 ' 
 , 
 time 
 . 
 gmtime 
 ( 
 to_ts 
 )) 
 uniq 
 = 
 f 
 " 
 { 
 int 
 ( 
 time 
 . 
 time 
 () 
  
 * 
  
 1e6 
 ) 
 } 
 _ 
 { 
 uuid 
 . 
 uuid4 
 () 
 . 
 hex 
 [: 
 8 
 ] 
 } 
 " 
 key 
 = 
 f 
 " 
 { 
 GCS_PREFIX 
 }{ 
 ts_path 
 } 
 /sailpoint_iam_ 
 { 
 int 
 ( 
 from_ts 
 ) 
 } 
 _ 
 { 
 int 
 ( 
 to_ts 
 ) 
 } 
 _p 
 { 
 page_num 
 : 
 03d 
 } 
 _ 
 { 
 uniq 
 } 
 .jsonl" 
 # Convert events list to JSONL format (one JSON object per line) 
 jsonl_lines 
 = 
 [ 
 json 
 . 
 dumps 
 ( 
 event 
 , 
 separators 
 = 
 ( 
 ',' 
 , 
 ':' 
 )) 
 for 
 event 
 in 
 events 
 ] 
 jsonl_content 
 = 
 ' 
 \n 
 ' 
 . 
 join 
 ( 
 jsonl_lines 
 ) 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 key 
 ) 
 blob 
 . 
  metadata 
 
 = 
 { 
 'source' 
 : 
 'sailpoint-iam' 
 , 
 'from_timestamp' 
 : 
 str 
 ( 
 int 
 ( 
 from_ts 
 )), 
 'to_timestamp' 
 : 
 str 
 ( 
 int 
 ( 
 to_ts 
 )), 
 'page_number' 
 : 
 str 
 ( 
 page_num 
 ), 
 'events_count' 
 : 
 str 
 ( 
 len 
 ( 
 events 
 )), 
 'format' 
 : 
 'jsonl' 
 } 
 blob 
 . 
  upload_from_string 
 
 ( 
 jsonl_content 
 , 
 content_type 
 = 
 'application/x-ndjson' 
 ) 
 return 
 key 
 def 
  
 _get_item_id 
 ( 
 item 
 ): 
  
 """Extract ID from event item, trying multiple possible fields.""" 
 for 
 field 
 in 
 ( 
 'id' 
 , 
 'uuid' 
 , 
 'eventId' 
 , 
 '_id' 
 ): 
 if 
 field 
 in 
 item 
 and 
 item 
 [ 
 field 
 ]: 
 return 
 str 
 ( 
 item 
 [ 
 field 
 ]) 
 return 
 '' 
 @functions_framework 
 . 
 cloud_event 
 def 
  
 main 
 ( 
 cloud_event 
 ): 
  
 """ 
 Cloud Run function triggered by Pub/Sub to fetch SailPoint IAM logs and write to GCS. 
 Args: 
 cloud_event: CloudEvent object containing Pub/Sub message 
 """ 
 if 
 not 
 all 
 ([ 
 GCS_BUCKET 
 , 
 IDN_BASE 
 , 
 CLIENT_ID 
 , 
 CLIENT_SECRET 
 ]): 
 print 
 ( 
 'Error: Missing required environment variables' 
 ) 
 return 
 try 
 : 
 bucket 
 = 
 storage_client 
 . 
  bucket 
 
 ( 
 GCS_BUCKET 
 ) 
 st 
 = 
 _load_state 
 ( 
 bucket 
 ) 
 now 
 = 
 time 
 . 
 time 
 () 
 from_ts 
 = 
 float 
 ( 
 st 
 . 
 get 
 ( 
 'last_to_ts' 
 ) 
 or 
 ( 
 now 
 - 
 WINDOW_SEC 
 )) 
 to_ts 
 = 
 now 
 # Get OAuth token 
 access_token 
 = 
 _get_oauth_token 
 () 
 created_from 
 = 
 _iso 
 ( 
 from_ts 
 ) 
 print 
 ( 
 f 
 'Fetching SailPoint IAM events from: 
 { 
 created_from 
 } 
 ' 
 ) 
 # Handle pagination state 
 last_created 
 = 
 st 
 . 
 get 
 ( 
 'last_created' 
 ) 
 last_id 
 = 
 st 
 . 
 get 
 ( 
 'last_id' 
 ) 
 search_after 
 = 
 [ 
 last_created 
 , 
 last_id 
 ] 
 if 
 ( 
 last_created 
 and 
 last_id 
 ) 
 else 
 None 
 pages 
 = 
 0 
 total_events 
 = 
 0 
 written_keys 
 = 
 [] 
 newest_created 
 = 
 last_created 
 or 
 created_from 
 newest_id 
 = 
 last_id 
 or 
 '' 
 while 
 pages 
< MAX_PAGES 
 : 
 events 
 = 
 _search_events 
 ( 
 access_token 
 , 
 created_from 
 , 
 search_after 
 ) 
 if 
 not 
 events 
 : 
 break 
 # Write page to GCS in JSONL format 
 key 
 = 
 _put_events_data 
 ( 
 bucket 
 , 
 events 
 , 
 from_ts 
 , 
 to_ts 
 , 
 pages 
 + 
 1 
 ) 
 written_keys 
 . 
 append 
 ( 
 key 
 ) 
 total_events 
 += 
 len 
 ( 
 events 
 ) 
 # Update pagination state from last item 
 last_event 
 = 
 events 
 [ 
 - 
 1 
 ] 
 last_event_created 
 = 
 last_event 
 . 
 get 
 ( 
 'created' 
 ) 
 or 
 last_event 
 . 
 get 
 ( 
 'metadata' 
 , 
 {}) 
 . 
 get 
 ( 
 'created' 
 ) 
 last_event_id 
 = 
 _get_item_id 
 ( 
 last_event 
 ) 
 if 
 last_event_created 
 : 
 newest_created 
 = 
 last_event_created 
 if 
 last_event_id 
 : 
 newest_id 
 = 
 last_event_id 
 search_after 
 = 
 [ 
 newest_created 
 , 
 newest_id 
 ] 
 pages 
 += 
 1 
 # If we got less than page size, we're done 
 if 
 len 
 ( 
 events 
 ) 
< PAGE_SIZE 
 : 
 break 
 print 
 ( 
 f 
 'Successfully retrieved 
 { 
 total_events 
 } 
 events across 
 { 
 pages 
 } 
 pages' 
 ) 
 # Save state for next run 
 st 
 [ 
 'last_to_ts' 
 ] 
 = 
 to_ts 
 st 
 [ 
 'last_created' 
 ] 
 = 
 newest_created 
 st 
 [ 
 'last_id' 
 ] 
 = 
 newest_id 
 st 
 [ 
 'last_successful_run' 
 ] 
 = 
 now 
 _save_state 
 ( 
 bucket 
 , 
 st 
 ) 
 print 
 ( 
 f 
 'Wrote 
 { 
 len 
 ( 
 written_keys 
 ) 
 } 
 files to GCS' 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 'Error processing logs: 
 { 
 str 
 ( 
 e 
 ) 
 } 
 ' 
 ) 
 raise
      • 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 publishes 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 sailpoint-iam-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 Pub/Sub topic ( sailpoint-iam-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 scheduler job

    1. In the Cloud Schedulerconsole, find your job.
    2. Click Force runto trigger manually.
    3. Wait a few seconds and go to Cloud Run > Services > sailpoint-iam-collector > Logs.
    4. Verify the function executed successfully.
    5. Check the GCS bucket to confirm logs were written.

    Google SecOps uses a unique service account to read data from your GCS bucket. You must grant this service account access to your bucket.

    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, SailPoint IAM logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select SailPoint IAMas the Log type.

    7. Click Get Service Account. A unique service account email is displayed, for example:

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

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

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

    1. Go to Cloud Storage > Buckets.
    2. Click 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.

    Configure a feed in Google SecOps to ingest SailPoint IAM logs

    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, SailPoint IAM logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select SailPoint IAMas the Log type.
    7. Click Next.

    8. Specify values for the following input parameters:

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

         gs://sailpoint-iam-logs/sailpoint/iam/

        • Replace:

          • sailpoint-iam-logs : Your GCS bucket name.
          • sailpoint/iam/ : Optional prefix/folder path where logs are stored (leave empty for root).

        • Examples:

          • Root bucket: gs://company-logs/
          • With prefix: gs://company-logs/sailpoint-logs/
          • With subfolder: gs://company-logs/sailpoint/iam/

      • 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.

    9. Click Next.

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

    UDM mapping table

    Log Field UDM Mapping Logic
    action
    		 metadata.description The value of the action field from the raw log.
    actor.name
    		 principal.user.user_display_name The value of the actor.name field from the raw log.
    attributes.accountName
    		 principal.user.group_identifiers The value of the attributes.accountName field from the raw log.
    attributes.appId
    		 target.asset_id "App ID: " concatenated with the value of the attributes.appId field from the raw log.
    attributes.attributeName
    		 additional.fields[0].value.string_value The value of the attributes.attributeName field from the raw log, placed within an additional.fields object. The key is set to "Attribute Name".
    attributes.attributeValue
    		 additional.fields[1].value.string_value The value of the attributes.attributeValue field from the raw log, placed within an additional.fields object. The key is set to "Attribute Value".
    attributes.cloudAppName
    		 target.application The value of the attributes.cloudAppName field from the raw log.
    attributes.hostName
    		 target.hostname, target.asset.hostname The value of the attributes.hostName field from the raw log.
    attributes.interface
    		 additional.fields[2].value.string_value The value of the attributes.interface field from the raw log, placed within an additional.fields object. The key is set to "Interface".
    attributes.operation
    		 security_result.action_details The value of the attributes.operation field from the raw log.
    attributes.previousValue
    		 additional.fields[3].value.string_value The value of the attributes.previousValue field from the raw log, placed within an additional.fields object. The key is set to "Previous Value".
    attributes.provisioningResult
    		 security_result.detection_fields.value The value of the attributes.provisioningResult field from the raw log, placed within a security_result.detection_fields object. The key is set to "Provisioning Result".
    attributes.sourceId
    		 principal.labels[0].value The value of the attributes.sourceId field from the raw log, placed within a principal.labels object. The key is set to "Source Id".
    attributes.sourceName
    		 principal.labels[1].value The value of the attributes.sourceName field from the raw log, placed within a principal.labels object. The key is set to "Source Name".
    auditClassName
    		 metadata.product_event_type The value of the auditClassName field from the raw log.
    created
    		 metadata.event_timestamp.seconds, metadata.event_timestamp.nanos The value of the created field from the raw log, converted to timestamp if instant.epochSecond is not present.
    id
    		 metadata.product_log_id The value of the id field from the raw log.
    instant.epochSecond
    		 metadata.event_timestamp.seconds The value of the instant.epochSecond field from the raw log, used for timestamp.
    ipAddress
    		 principal.asset.ip, principal.ip The value of the ipAddress field from the raw log.
    interface
    		 additional.fields[0].value.string_value The value of the interface field from the raw log, placed within an additional.fields object. The key is set to "interface".
    loggerName
    		 intermediary.application The value of the loggerName field from the raw log.
    message
    		 metadata.description, security_result.description Used for various purposes, including setting the description in metadata and security_result, and extracting XML content.
    name
    		 security_result.description The value of the name field from the raw log.
    operation
    		 target.resource.attribute.labels[0].value, metadata.product_event_type The value of the operation field from the raw log, placed within a target.resource.attribute.labels object. The key is set to "operation". Also used for metadata.product_event_type.
    org
    		 principal.administrative_domain The value of the org field from the raw log.
    pod
    		 principal.location.name The value of the pod field from the raw log.
    referenceClass
    		 additional.fields[1].value.string_value The value of the referenceClass field from the raw log, placed within an additional.fields object. The key is set to "referenceClass".
    referenceId
    		 additional.fields[2].value.string_value The value of the referenceId field from the raw log, placed within an additional.fields object. The key is set to "referenceId".
    sailPointObjectName
    		 additional.fields[3].value.string_value The value of the sailPointObjectName field from the raw log, placed within an additional.fields object. The key is set to "sailPointObjectName".
    serverHost
    		 principal.hostname, principal.asset.hostname The value of the serverHost field from the raw log.
    stack
    		 additional.fields[4].value.string_value The value of the stack field from the raw log, placed within an additional.fields object. The key is set to "Stack".
    status
    		 security_result.severity_details The value of the status field from the raw log.
    target
    		 additional.fields[4].value.string_value The value of the target field from the raw log, placed within an additional.fields object. The key is set to "target".
    target.name
    		 principal.user.userid The value of the target.name field from the raw log.
    technicalName
    		 security_result.summary The value of the technicalName field from the raw log.
    thrown.cause.message
    		 xml_body, detailed_message The value of the thrown.cause.message field from the raw log, used to extract XML content.
    thrown.message
    		 xml_body, detailed_message The value of the thrown.message field from the raw log, used to extract XML content.
    trackingNumber
    		 additional.fields[5].value.string_value The value of the trackingNumber field from the raw log, placed within an additional.fields object. The key is set to "Tracking Number".
    type
    		 metadata.product_event_type The value of the type field from the raw log.
    _version
    		 metadata.product_version The value of the _version field from the raw log.
    N/A
    		 metadata.event_timestamp Derived from instant.epochSecond or created fields.
    N/A
    		 metadata.event_type Determined by parser logic based on various fields, including has_principal_user, has_target_application, technicalName, and action. Default value is "GENERIC_EVENT".
    N/A
    		 metadata.log_type Set to "SAILPOINT_IAM".
    N/A
    		 metadata.product_name Set to "IAM".
    N/A
    		 metadata.vendor_name Set to "SAILPOINT".
    N/A
    		 extensions.auth.type Set to "AUTHTYPE_UNSPECIFIED" in certain conditions.
    N/A
    		 target.resource.attribute.labels[0].key Set to "operation".

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

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