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    Collect WatchGuard EDR logs

    Supported in:

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

    WatchGuard EDR (formerly Panda Adaptive Defense) is a cloud-managed endpoint detection and response platform providing advanced threat protection, behavioral analysis, and threat hunting. The WatchGuard Cloud API provides programmatic access to security event data including detections, indicators of attack, and threat intelligence 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 the WatchGuard Cloud console with administrator permissions
    • A WatchGuard Cloud API key or OAuth2 credentials

    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, watchguard-edr-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 WatchGuard EDR API credentials

    Obtain API credentials

    1. Sign in to the WatchGuard Cloud console as an administrator.
    2. Go to Administration > Managed Access.
    3. Click API Accessor navigate to the API key management section.
    4. Click Generate API Key.
    5. Enter a name for the API key (for example, Google SecOps Integration ).

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

      • API Key ID: The API access key
      • API Secret: The API secret key
      • Account ID: Your WatchGuard Cloud account ID

    Determine API base URL

    The WatchGuard Cloud API base URL depends on your data center region:

    Region API Base URL
    US https://api.usa.cloud.watchguard.com
    EU https://api.eu.cloud.watchguard.com

    Test API access

    • Test your credentials before proceeding with the integration:

        # Replace with your actual credentials 
 WG_API_KEY 
 = 
 "your-api-key-id" 
 WG_API_SECRET 
 = 
 "your-api-secret" 
 WG_ACCOUNT_ID 
 = 
 "your-account-id" 
 WG_BASE_URL 
 = 
 "https://api.usa.cloud.watchguard.com" 
 # Get access token 
 TOKEN 
 = 
 $( 
curl  
-s  
-X  
POST  
 " 
 ${ 
 WG_BASE_URL 
 } 
 /oauth/token" 
  
 \ 
  
-H  
 "Content-Type: application/x-www-form-urlencoded" 
  
 \ 
  
-d  
 "grant_type=client_credentials&client_id= 
 ${ 
 WG_API_KEY 
 } 
& client_secret= 
 ${ 
 WG_API_SECRET 
 } 
& scope=api-access" 
  
 \ 
  
 | 
  
jq  
-r  
 '.access_token' 
 ) 
 # Test API access - list indicators 
curl  
-s  
-X  
GET  
 " 
 ${ 
 WG_BASE_URL 
 } 
 /rest/aether/v1/accounts/ 
 ${ 
 WG_ACCOUNT_ID 
 } 
 /indicators? 
 $top 
 =1" 
  
 \ 
  
-H  
 "Authorization: Bearer 
 ${ 
 TOKEN 
 } 
 "

    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 watchguard-edr-logs-collector-sa
      • Service account description: Enter Service account for Cloud Run function to collect WatchGuard EDR 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, watchguard-edr-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, watchguard-edr-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 watchguard-edr-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 WatchGuard Cloud 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 watchguard-edr-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 watchguard-edr-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 watchguard-edr-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
      		watchguard-edr-logs GCS bucket name
      GCS_PREFIX
      		watchguard Prefix for log files
      STATE_KEY
      		watchguard/state.json State file path
      WG_API_KEY
      		your-api-key-id WatchGuard Cloud API key ID
      WG_API_SECRET
      		your-api-secret WatchGuard Cloud API secret
      WG_ACCOUNT_ID
      		your-account-id WatchGuard Cloud account ID
      WG_API_BASE
      		https://api.usa.cloud.watchguard.com WatchGuard Cloud 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:

      • 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' 
 , 
 'watchguard' 
 ) 
 STATE_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'STATE_KEY' 
 , 
 'watchguard/state.json' 
 ) 
 WG_API_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'WG_API_KEY' 
 ) 
 WG_API_SECRET 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'WG_API_SECRET' 
 ) 
 WG_ACCOUNT_ID 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'WG_ACCOUNT_ID' 
 ) 
 WG_API_BASE 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'WG_API_BASE' 
 , 
 'https://api.usa.cloud.watchguard.com' 
 ) 
 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 
 ) 
 def 
  
 get_access_token 
 (): 
  
 """ 
 Obtain OAuth2 access token using client credentials grant. 
 """ 
 api_base 
 = 
 WG_API_BASE 
 . 
 rstrip 
 ( 
 '/' 
 ) 
 token_url 
 = 
 f 
 " 
 { 
 api_base 
 } 
 /oauth/token" 
 headers 
 = 
 { 
 'Content-Type' 
 : 
 'application/x-www-form-urlencoded' 
 , 
 'Accept' 
 : 
 'application/json' 
 } 
 body 
 = 
 ( 
 f 
 "grant_type=client_credentials" 
 f 
 "&client_id= 
 { 
 WG_API_KEY 
 } 
 " 
 f 
 "&client_secret= 
 { 
 WG_API_SECRET 
 } 
 " 
 f 
 "&scope=api-access" 
 ) 
 backoff 
 = 
 1.0 
 for 
 attempt 
 in 
 range 
 ( 
 3 
 ): 
 response 
 = 
 http 
 . 
 request 
 ( 
 'POST' 
 , 
 token_url 
 , 
 body 
 = 
 body 
 , 
 headers 
 = 
 headers 
 ) 
 if 
 response 
 . 
 status 
 == 
 429 
 : 
 retry_after 
 = 
 int 
 ( 
 response 
 . 
 headers 
 . 
 get 
 ( 
 'Retry-After' 
 , 
 str 
 ( 
 int 
 ( 
 backoff 
 )))) 
 print 
 ( 
 f 
 "Rate limited (429) on token request. Retrying after 
 { 
 retry_after 
 } 
 s..." 
 ) 
 time 
 . 
 sleep 
 ( 
 retry_after 
 ) 
 backoff 
 = 
 min 
 ( 
 backoff 
 * 
 2 
 , 
 30.0 
 ) 
 continue 
 if 
 response 
 . 
 status 
 != 
 200 
 : 
 raise 
 RuntimeError 
 ( 
 f 
 "Failed to get access token: 
 { 
 response 
 . 
 status 
 } 
 - 
 { 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 ) 
 } 
 " 
 ) 
 data 
 = 
 json 
 . 
 loads 
 ( 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 )) 
 return 
 data 
 [ 
 'access_token' 
 ] 
 raise 
 RuntimeError 
 ( 
 "Failed to get access token after 3 retries" 
 ) 
 @functions_framework 
 . 
 cloud_event 
 def 
  
 main 
 ( 
 cloud_event 
 ): 
  
 """ 
 Cloud Run function triggered by Pub/Sub to fetch WatchGuard EDR 
 security event logs and write to GCS. 
 Args: 
 cloud_event: CloudEvent object containing Pub/Sub message 
 """ 
 if 
 not 
 all 
 ([ 
 GCS_BUCKET 
 , 
 WG_API_KEY 
 , 
 WG_API_SECRET 
 , 
 WG_ACCOUNT_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 
 () 
 } 
 " 
 ) 
 # Get access token 
 token 
 = 
 get_access_token 
 () 
 # Fetch logs from multiple endpoints 
 all_records 
 = 
 [] 
 newest_event_time 
 = 
 None 
 for 
 endpoint_type 
 in 
 [ 
 'indicators' 
 , 
 'threats' 
 ]: 
 records 
 , 
 newest_time 
 = 
 fetch_logs 
 ( 
 token 
 = 
 token 
 , 
 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 
 ( 
 token 
 : 
 str 
 , 
 endpoint_type 
 : 
 str 
 , 
 start_time 
 : 
 datetime 
 , 
 end_time 
 : 
 datetime 
 , 
 page_size 
 : 
 int 
 , 
 max_records 
 : 
 int 
 ): 
  
 """ 
 Fetch security event logs from WatchGuard Cloud API 
 with OData-style pagination and rate limiting. 
 Args: 
 token: OAuth2 access token 
 endpoint_type: API endpoint type (indicators, threats) 
 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 
 = 
 WG_API_BASE 
 . 
 rstrip 
 ( 
 '/' 
 ) 
 endpoint 
 = 
 f 
 " 
 { 
 api_base 
 } 
 /rest/aether/v1/accounts/ 
 { 
 WG_ACCOUNT_ID 
 } 
 / 
 { 
 endpoint_type 
 } 
 " 
 headers 
 = 
 { 
 'Authorization' 
 : 
 f 
 'Bearer 
 { 
 token 
 } 
 ' 
 , 
 'Accept' 
 : 
 'application/json' 
 , 
 'User-Agent' 
 : 
 'GoogleSecOps-WatchGuardEDRCollector/1.0' 
 } 
 records 
 = 
 [] 
 newest_time 
 = 
 None 
 page_num 
 = 
 0 
 skip 
 = 
 0 
 backoff 
 = 
 1.0 
 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 
 } 
 ?$top= 
 { 
 min 
 ( 
 page_size 
 , 
  
 max_records 
  
 - 
  
 len 
 ( 
 records 
 )) 
 } 
& $skip= 
 { 
 skip 
 } 
& $filter=date ge 
 { 
 start_iso 
 } 
 and date le 
 { 
 end_iso 
 } 
& $orderby=date asc" 
 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 
 ( 
 'value' 
 , 
 data 
 . 
 get 
 ( 
 'data' 
 , 
 [])) 
 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 
 [ 
 '_wg_log_type' 
 ] 
 = 
 endpoint_type 
 records 
 . 
 extend 
 ( 
 page_results 
 ) 
 # Track newest event time 
 for 
 event 
 in 
 page_results 
 : 
 try 
 : 
 event_ts 
 = 
 event 
 . 
 get 
 ( 
 'date' 
 ) 
 or 
 event 
 . 
 get 
 ( 
 'timestamp' 
 ) 
 or 
 event 
 . 
 get 
 ( 
 'createdAt' 
 ) 
 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 more results 
 if 
 len 
 ( 
 page_results 
 ) 
< page_size 
 : 
 print 
 ( 
 f 
 "No more pages for 
 { 
 endpoint_type 
 } 
 (last page not full)" 
 ) 
 break 
 skip 
 += 
 len 
 ( 
 page_results 
 ) 
 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

      • 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 watchguard-edr-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 watchguard-edr-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 watchguard-edr-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
indicators page 1: Retrieved X events
threats page 1: Retrieved X events
Wrote X records to gs://watchguard-edr-logs/watchguard/logs_YYYYMMDD_HHMMSS.ndjson
Successfully processed X records

    8. Go to Cloud Storage > Buckets.

    9. Click on your bucket name ( watchguard-edr-logs ).

    10. Navigate to the watchguard/ folder.

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

    If you see errors in the logs:

    • HTTP 401: Check API credentials in environment variables
    • HTTP 403: Verify API key has required permissions in WatchGuard Cloud console
    • HTTP 429: Rate limiting - function will automatically retry with backoff
    • Missing environment variables: Check all required variables are set

    Configure a feed in Google SecOps to ingest WatchGuard EDR 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, WatchGuard EDR Logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select WatchGuard EDRas 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://watchguard-edr-logs/watchguard/
        • Replace:
          • watchguard-edr-logs : Your GCS bucket name.
          • watchguard : 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
    		about.asset.asset_id Set to device_vendor.device_product:deviceExternalId
    		about.file.full_path Value from filePath if not empty, else from _hash if file_is_not_hash, else from fileHash if file_is_not_hash
    		about.file.size Value from fsize if > 0
    		about.hostname Value from dvchost
    		about.ip Merged from dvc array after IP validation
    		about.mac Value from dvcmac if valid MAC, else from dvc_mac if slot not present
    		about.nat_ip Value from deviceTranslatedAddress
    		about.process.command_line Value from Subject if not present, else Emne, else Path
    		about.process.pid Value from dvcpid
    		about.resource.attribute.permissions Value from filePermission
    		about.resource.attribute.labels Value from resource_Type_label
    		additional.fields Merged from various additional_* labels like additional_eventId, additional_devicePayloadId, etc.
    		metadata.collected_timestamp Value from alertDateTime if ISO format, else from AlertDate if ISO format, else from Received if ISO format, else from Generated if ISO format
    		metadata.description Value from msg
    		metadata.event_timestamp Value from Date if ISO format
    		metadata.event_type Set to "PROCESS_UNCATEGORIZED" if file_full_path not empty, else "SCAN_UNCATEGORIZED" if event_name in LogSpyware or LogPredictiveMachineLearning, else "STATUS_UPDATE" if has_principal true, else "GENERIC_EVENT"
    		metadata.product_event_type Value from huntingRule if not empty, else from ThreatType, else from device_event_class_id - event_name, else from device_event_class_id, else from event_name
    		metadata.product_log_id Value from pandaAlertId if not empty, else from externalId
    		metadata.product_name Set to "ALERTS" for JSON, else from device_product
    		metadata.product_version Value from device_version
    		metadata.url_back_to_product Value from directLink
    		metadata.vendor_name Set to "WATCHGUARD" for JSON, else from device_vendor
    		network.application_protocol Value from app_protocol_output if not empty
    		network.direction Set to "INBOUND" if deviceDirection == 0, else "OUTBOUND" if == 1
    		network.http.method Value from requestMethod
    		network.http.user_agent Value from requestClientApplication
    		network.ip_protocol Value from ip_protocol_out if not empty
    		network.received_bytes Value from in if > 0 and integer
    		network.sent_bytes Value from out if > 0 and integer
    		principal.administrative_domain Value from sntdom if not empty, else from Domain, else from Domene
    		principal.application Value from sourceServiceName
    		principal.asset.asset_id Value from MUID if not empty
    		principal.asset.hostname Value from machineName if not empty, else from HostName, else from SourceMachineName, else from MachineName
    		principal.asset.ip Merged from HostIp if not empty, else SourceIP, else MachineIP
    		principal.asset.product_object_id Value from ClientId
    		principal.group.group_display_name Value from Group_name if not empty, else Gruppenavn
    		principal.hostname Value from machineName if not empty, else from temp_dhost if not empty, else from shost if IP validation fails, else from Device_name, else Enhetsnavn
    		principal.ip Value from principal_ip if valid IP, else from src if valid IP
    		principal.mac Value from smac if valid MAC
    		principal.nat_ip Value from sourceTranslatedAddress if valid IP
    		principal.nat_port Value from sourceTranslatedPort if > 0
    		principal.port Value from spt if integer and not 0
    		principal.process.command_line Value from sproc
    		principal.process.pid Value from spid
    		principal.user.attribute.roles Value from spriv
    		principal.user.user_display_name Value from suser if not starts with {, else from SourceUserName, else from CustomerName if not empty
    		principal.user.userid Value from contents.0.LoggedUser if not empty and sets event_type to USER_UNCATEGORIZED, else from temp_duid, else from User, else Bruker
    		security_result.action Set to "ALLOW" if act in accept/notified or outcome REDIRECTED_USER_MAY_PROCEED or categoryOutcome Success or cs2 Allow, else "BLOCK" if act deny/blocked or outcome BLOCKED or categoryOutcome Failure or cs2 Denied, else "FAIL" if outcome Failure
    		security_result.action_details Value from act, else from Action_Taken
    		security_result.attack_details.tactics Merged from tactics_data if not empty
    		security_result.attack_details.techniques Merged from technique_data if not empty
    		security_result.category_details Value from cat
    		security_result.description Value from msg_data_2 if not empty, else from THRuleName, else from Type, else Scan_Type
    		security_result.detection_fields Merged from operation_label, operasjon_label, permission_label, tillatelse_label, infection_channel_label, spyware_Grayware_Type_label, threat_probability_label
    		security_result.rule_name Value from mwProfile
    		security_result.severity Set to "INFORMATIONAL" if severity == 1, "LOW" if 2, "MEDIUM" if 3, "HIGH" if 4, "CRITICAL" if 5; else LOW if severity in 0/1/2, MEDIUM if 3/4/5/INFO, HIGH if 6/7/SEVERE, CRITICAL if 8/9/10/VERY-HIGH
    		security_result.summary Value from appcategory, else Result
    		security_result.threat_name Value from Spyware if not empty, else Virus_Malware_Name, else Unknown_Threat
    		src.file.full_path Value from oldFilePath
    		src.file.size Value from oldFileSize if > 0
    		target.administrative_domain Value from dntdom
    		target.application Value from destinationServiceName
    		target.file.full_path Value from ItemPath
    		target.file.md5 Value from ItemHash if lowercase succeeds
    		target.hostname Value from temp_dhost if not empty
    		target.ip Value from dst_ip if valid IP
    		target.mac Value from dmac if valid MAC
    		target.nat_ip Value from destination_translated_address if valid IP
    		target.nat_port Value from destinationTranslatedPort if integer
    		target.port Value from dpt if integer and in range
    		target.process.command_line Value from dproc
    		target.process.file.full_path Value from contents.0.ChildPath if not empty, else from file_full_path
    		target.process.file.md5 Value from contents.0.ChildMd5 if lowercase succeeds
    		target.process.file.names Merged from file_name if not empty
    		target.process.parent_process.file.full_path Value from contents.0.ParentPath
    		target.process.parent_process.file.md5 Value from contents.0.ParentMd5 if lowercase succeeds
    		target.process.parent_process.file.names Merged from parent_file_name if not empty
    		target.process.parent_process.pid Value from contents.0.ParentPID
    		target.process.pid Value from dpid
    		target.resource.attribute.labels Value from DriveType_label, ServiceLevel_label
    		target.url Value from request
    		target.user.user_display_name Value from temp_duser
    		target.user.userid Value from temp_duid if not empty

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

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