Collect Slack Audit logs

Supported in:

This document explains how to ingest Slack Audit logs to Google Security Operations using either Google Cloud Run Functions or Amazon S3 with AWS Lambda.

Slack Audit logs provide a detailed record of security-related events across your Slack Enterprise Grid organization. The Audit Logs API allows you to monitor user actions such as logins, file downloads, app installations, and administrative changes for compliance and security monitoring purposes.

Before you begin

Ensure that you have the following prerequisites:

  • A Google SecOps instance
  • A Slack Enterprise Gridplan with Organization Owneror Adminaccess
  • Privileged access to either:

    • Google Cloud (for Option 1: Cloud Run Functions and Cloud Scheduler), or
    • AWS (for Option 2: S3, IAM, Lambda, EventBridge)

Collect Slack credentials

Create the Slack app

The Slack Audit Logs API requires a User OAuth Token with the auditlogs:read scope. This token must be obtained by installing an app at the Enterprise Grid organization level, not at the workspace level.

  1. Sign in to the Slack Admin Console with an Enterprise Grid Organization Owner or Admin account.
  2. Go to the Slack API Apps page .
  3. Click Create New App.
  4. Select From scratch.
  5. Provide the following configuration details:
    • App Name: Enter a descriptive name (for example, Google SecOps Audit Integration ).
    • Pick a workspace to develop your app in: Select your Development Slack Workspace (any workspace in the organization).
  6. Click Create App.

Configure OAuth scopes

  1. In your app's settings page, select OAuth & Permissionsfrom the left navigation.
  2. Scroll down to the Scopessection.
  3. Under User Token Scopes(NOT Bot Token Scopes), click Add an OAuth Scope.
  4. Add the following scope:
    • auditlogs:read — This scope enables access to the Audit Logs API for the Enterprise Grid organization.
  5. Under Bot Token Scopes, click Add an OAuth Scope.
  6. Add the following scope:

    • users:read — This scope is required to enable organization-level app installation.

Configure redirect URL

  1. In your app's settings page, select OAuth & Permissionsfrom the left navigation.
  2. Go to the Redirect URLssection.
  3. Click Add New Redirect URL.
  4. Enter the following URL:

     https://slack.com/oauth/v2/authorize 
    
  5. Click Add.

  6. Click Save URLs.

Activate public distribution

To install an app at the Enterprise organization level (not just a workspace), you must activate public distribution.

Why is public distribution required?

  • Slack requires apps with organization-wide permissions to have public distribution enabled.
  • This unlocks the ability to install at the organization level instead of individual workspaces.
  • Without it, you can only install the app to a single workspace within your Enterprise Grid.
  • Enabling public distribution simply removes internal restrictions on installation scope.

To activate public distribution, follow these steps:

  1. In your app's settings page, select Manage Distributionfrom the left navigation.
  2. Under Share Your App with Other Workspaces, verify that all four sections have green checkmarks:
    • Remove Hard Coded Information
    • Activate Public Distribution
    • Set a Redirect URL
    • Add an OAuth Scope
  3. If any section shows a red X, expand it and complete the required action.
  4. Check the checkbox next to I've reviewed and removed any hard-coded information.
  5. Click Activate Public Distribution.

Install app to Enterprise organization

  1. In your app's settings page, select OAuth & Permissionsfrom the left navigation.
  2. Under Share Your App with Your Workspace, copy the Sharable URL.
  3. Enter the URL into your browser.
  4. Critical: In the installation screen, check the dropdown menu in the upper right corner.
  5. Ensure you are installing to the Enterprise organization, NOT an individual workspace.
  6. If you see a workspace name in the dropdown, click it and select your Enterprise organization name instead.
  7. Review the requested permissions and click Allow.

Retrieve credentials

After authorization completes, you will be redirected to the OAuth & Permissionspage.

  1. Under OAuth Tokens for Your Workspace, locate the User OAuth Token.
  2. The token starts with xoxp- .
  3. Click Copyand save this token securely.

  4. Note your Organization ID:

    1. Go to the Slack Admin Console .
    2. Navigate to Settings & Permissions > Organization settings.
    3. Copy the Organization ID.

Verify permissions

To verify your app has the required permissions:

  1. Go to the Slack API Apps page .
  2. Select your app.
  3. Select OAuth & Permissionsfrom the left navigation.
  4. Under OAuth Tokens for Your Workspace, verify that a User OAuth Tokenis displayed (starts with xoxp- ).
  5. Under Scopes, verify that auditlogs:read appears under User Token Scopes.

Test API access

  • Test your token before proceeding with the integration:

      SLACK_TOKEN 
     = 
     "xoxp-your-token-here" 
    curl  
    -H  
     "Authorization: Bearer 
     $SLACK_TOKEN 
     " 
      
     \ 
      
     "https://api.slack.com/audit/v1/logs?limit=1" 
     
    

    A successful response contains an entries array with audit log events. If you receive an invalid_auth or missing_scope error, verify your token and scopes.

Option 1: Configure Slack Audit logs export using Google Cloud Run Functions

This option uses Google Cloud Run Functions and Cloud Scheduler to collect Slack Audit logs and ingest them directly into Google SecOps using the Chronicle ingestion scripts .

Before you begin (Option 1)

Ensure that you have the following additional prerequisites:

  • A GCP project with the following APIs enabled:
    • Cloud Functions API
    • Cloud Scheduler API
    • Secret Manager API
  • Permissions to create Cloud Functions, Cloud Scheduler jobs, and secrets in Secret Manager
  • A Google SecOps service account JSON file
  1. Sign in to the Google SecOps console.
  2. Go to SIEM Settings > Collection Agents.
  3. Download the Ingestion Authentication File.
  4. Save the JSON file securely. You will upload this as a secret in Google Secret Manager.

Prepare the function code

Download the deployment files from the Chronicle ingestion-scripts GitHub repository :

  1. From the slack folder, download:
    • .env.yml
    • main.py
    • requirements.txt
  2. From the root of the repository, download the entire common directory with all its files.

    Your deployment directory should have the following structure:

      deployment_directory 
     / 
     ├── 
      
     common 
     / 
      
      
     ├── 
      
     __init__ 
     . 
     py 
      
      
     ├── 
      
     auth 
     . 
     py 
      
      
     ├── 
      
     env_constants 
     . 
     py 
      
      
     ├── 
      
     ingest 
     . 
     py 
      
      
     ├── 
      
     status 
     . 
     py 
      
      
     └── 
      
     utils 
     . 
     py 
     ├── 
      
     . 
     env 
     . 
     yml 
     ├── 
      
     main 
     . 
     py 
     └── 
      
     requirements 
     . 
     txt 
     
    

Configure secrets in Google Secret Manager

Store sensitive credentials in Secret Manager for secure access by the Cloud Run function.

  1. In the GCP Console, go to Security > Secret Manager.
  2. Click Create Secret.
  3. Provide the following configuration details:
    • Name: Enter chronicle-service-account .
    • Secret value: Enter the entire contents of the Google SecOps service account JSON file.
  4. Click Create Secret.
  5. Copy the secret's resource name. The format is:

     projects/PROJECT_ID/secrets/chronicle-service-account/versions/latest 
    

Create secret for Slack token

  1. In the Secret Managerpage, click Create Secret.
  2. Provide the following configuration details:
    • Name: Enter slack-admin-token .
    • Secret value: Enter the Slack User OAuth Token (starts with xoxp- ).
  3. Click Create Secret.
  4. Copy the secret's resource name. The format is:

     projects/PROJECT_ID/secrets/slack-admin-token/versions/latest 
    

Configure environment variables

  1. Open the .env.yml file in your deployment directory and configure the environment variables:

      CHRONICLE_CUSTOMER_ID 
     : 
      
     "<your-chronicle-customer-id>" 
     CHRONICLE_REGION 
     : 
      
     "us" 
     CHRONICLE_SERVICE_ACCOUNT 
     : 
      
     "projects/<PROJECT_ID>/secrets/chronicle-service-account/versions/latest" 
     CHRONICLE_NAMESPACE 
     : 
      
     "" 
     POLL_INTERVAL 
     : 
      
     "5" 
     SLACK_ADMIN_TOKEN 
     : 
      
     "projects/<PROJECT_ID>/secrets/slack-admin-token/versions/latest" 
     
    

    Replace the following:

    • <your-chronicle-customer-id> : Your Google SecOps customer ID.
    • <PROJECT_ID> : Your Google Cloud project ID.
    • CHRONICLE_REGION : Set to your Google SecOps region. Valid values: us , asia-northeast1 , asia-south1 , asia-southeast1 , australia-southeast1 , europe , europe-west2 , europe-west3 , europe-west6 , europe-west9 , europe-west12 , me-central1 , me-central2 , me-west1 , northamerica-northeast2 , southamerica-east1 .
    • POLL_INTERVAL : Frequency interval (in minutes) at which the function executes. This duration must be the same as the Cloud Scheduler job interval.
  2. Save the .env.yml file.

Deploy the Cloud Run function

  1. Open a terminal or Cloud Shell in the Google Cloud console. Navigate to your deployment directory and execute the following command:

     gcloud  
    functions  
    deploy  
    slack-audit-to-chronicle  
     \ 
      
    --entry-point  
    main  
     \ 
      
    --trigger-http  
     \ 
      
    --runtime  
    python312  
     \ 
      
    --env-vars-file  
    .env.yml  
     \ 
      
    --timeout  
    540s  
     \ 
      
    --memory  
    512MB  
     \ 
      
    --service-account  
    <SERVICE_ACCOUNT_EMAIL> 
    

    Replace <SERVICE_ACCOUNT_EMAIL> with the email address of the service account you want your Cloud Run function to use.

  2. Wait for the deployment to complete. Once deployed, note the function URL from the output.

Set up Cloud Scheduler

  1. In the GCP Console, go to Cloud Scheduler > Create job.
  2. Provide the following configuration details:

    Setting Value
    Name slack-audit-scheduler
    Region Select the same region where you deployed the Cloud Run function
    Frequency */5 * * * * (every 5 minutes, matching the POLL_INTERVAL value)
    Timezone Select timezone (UTC recommended)
  3. Click Continue.

  4. In the Configure the executionsection:

    • Target type: Select HTTP.
    • URL: Enter the Cloud Run function URL from the deployment output.
    • HTTP method: Select POST.
  5. In the Auth headersection:

    • Select Add OIDC token.
    • Service account: Select the same service account used for the Cloud Run function.
  6. Click Create.

Schedule frequency options

Choose frequency based on log volume and latency requirements:

Frequency Cron Expression Use Case
Every 5 minutes
*/5 * * * * Standard (recommended)
Every 15 minutes
*/15 * * * * Medium volume
Every hour
0 * * * * Low volume

Test the integration (Option 1)

  1. In the Cloud Schedulerconsole, find your job ( slack-audit-scheduler ).
  2. Click Force runto trigger the job manually.
  3. Wait a few seconds.
  4. Go to Cloud Functions.
  5. Click the function name ( slack-audit-to-chronicle ).
  6. Click the Logstab.
  7. Verify the function executed successfully. Look for:

     Retrieving the Slack Audit logs since: YYYY-MM-DDTHH:MM:SSZ
    Processing logs...
    Retrieved X audit logs from the API call
    Logs processed successfully. 
    

Option 2: Configure Slack Audit Logs export using AWS S3

This option uses AWS Lambda to collect Slack Audit logs and store them in Amazon S3, then configures a Google SecOps feed to ingest the logs.

Before you begin (Option 2)

Ensure that you have the following additional prerequisite:

  • An AWS account with permissions to create S3 buckets, IAM users/roles/policies, Lambda functions, and EventBridge rules.

Create Amazon S3 bucket

  1. Create an Amazon S3 bucket following the Creating a bucket user guide.
  2. Save the bucket Nameand Regionfor future reference (for example, slack-audit-logs ).

Configure IAM policy and role for S3 uploads

  1. In the AWS Console, go to IAM > Policies > Create policy > JSONtab.
  2. Enter the following policy. Replace slack-audit-logs if you used a different bucket name:

      { 
      
     "Version" 
     : 
      
     "2012-10-17" 
     , 
      
     "Statement" 
     : 
      
     [ 
      
     { 
      
     "Sid" 
     : 
      
     "AllowPutObjects" 
     , 
      
     "Effect" 
     : 
      
     "Allow" 
     , 
      
     "Action" 
     : 
      
     "s3:PutObject" 
     , 
      
     "Resource" 
     : 
      
     "arn:aws:s3:::slack-audit-logs/*" 
      
     }, 
      
     { 
      
     "Sid" 
     : 
      
     "AllowGetStateObject" 
     , 
      
     "Effect" 
     : 
      
     "Allow" 
     , 
      
     "Action" 
     : 
      
     "s3:GetObject" 
     , 
      
     "Resource" 
     : 
      
     "arn:aws:s3:::slack-audit-logs/slack/audit/state.json" 
      
     } 
      
     ] 
     } 
     
    
  3. Click Next.

  4. Enter the policy name SlackAuditS3Policy .

  5. Click Create policy.

  6. Go to IAM > Roles > Create role > AWS service > Lambda.

  7. Attach the newly created policy SlackAuditS3Policy .

  8. Name the role SlackAuditToS3Role and click Create role.

Create the Lambda function

  1. In the AWS Console, go to Lambda > Functions > Create function.
  2. Click Author from scratch.
  3. Provide the following configuration details:

    Setting Value
    Name slack_audit_to_s3
    Runtime Python 3.13
    Architecture x86_64
    Execution role SlackAuditToS3Role
  4. Click Create function.

  5. After the function is created, open the Codetab, delete the stub and enter the following code ( slack_audit_to_s3.py ):

      #!/usr/bin/env python3 
     # Lambda: Pull Slack Audit Logs (Enterprise Grid) to S3 (JSONL format) 
     import 
      
     os 
     , 
      
     json 
     , 
      
     time 
     , 
      
     urllib.parse 
     from 
      
     urllib.request 
      
     import 
     Request 
     , 
     urlopen 
     from 
      
     urllib.error 
      
     import 
     HTTPError 
     , 
     URLError 
     import 
      
     boto3 
     BASE_URL 
     = 
     "https://api.slack.com/audit/v1/logs" 
     TOKEN 
     = 
     os 
     . 
     environ 
     [ 
     "SLACK_AUDIT_TOKEN" 
     ] 
     BUCKET 
     = 
     os 
     . 
     environ 
     [ 
     "S3_BUCKET" 
     ] 
     PREFIX 
     = 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "S3_PREFIX" 
     , 
     "slack/audit/" 
     ) 
     STATE_KEY 
     = 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "STATE_KEY" 
     , 
     "slack/audit/state.json" 
     ) 
     LIMIT 
     = 
     int 
     ( 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "LIMIT" 
     , 
     "200" 
     )) 
     MAX_PAGES 
     = 
     int 
     ( 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "MAX_PAGES" 
     , 
     "20" 
     )) 
     LOOKBACK_SEC 
     = 
     int 
     ( 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "LOOKBACK_SECONDS" 
     , 
     "3600" 
     )) 
     HTTP_TIMEOUT 
     = 
     int 
     ( 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "HTTP_TIMEOUT" 
     , 
     "60" 
     )) 
     HTTP_RETRIES 
     = 
     int 
     ( 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "HTTP_RETRIES" 
     , 
     "3" 
     )) 
     RETRY_AFTER_DEFAULT 
     = 
     int 
     ( 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "RETRY_AFTER_DEFAULT" 
     , 
     "2" 
     )) 
     # Optional server-side filters (comma-separated 'action' values) 
     ACTIONS 
     = 
     os 
     . 
     environ 
     . 
     get 
     ( 
     "ACTIONS" 
     , 
     "" 
     ) 
     . 
     strip 
     () 
     s3 
     = 
     boto3 
     . 
     client 
     ( 
     "s3" 
     ) 
     def 
      
     _get_state 
     () 
     - 
    > dict 
     : 
     try 
     : 
     obj 
     = 
     s3 
     . 
     get_object 
     ( 
     Bucket 
     = 
     BUCKET 
     , 
     Key 
     = 
     STATE_KEY 
     ) 
     st 
     = 
     json 
     . 
     loads 
     ( 
     obj 
     [ 
     "Body" 
     ] 
     . 
     read 
     () 
     or 
     b 
     " 
     {} 
     " 
     ) 
     return 
     { 
     "cursor" 
     : 
     st 
     . 
     get 
     ( 
     "cursor" 
     )} 
     except 
     Exception 
     : 
     return 
     { 
     "cursor" 
     : 
     None 
     } 
     def 
      
     _put_state 
     ( 
     state 
     : 
     dict 
     ) 
     - 
    > None 
     : 
     body 
     = 
     json 
     . 
     dumps 
     ( 
     state 
     , 
     separators 
     = 
     ( 
     "," 
     , 
     ":" 
     )) 
     . 
     encode 
     ( 
     "utf-8" 
     ) 
     s3 
     . 
     put_object 
     ( 
     Bucket 
     = 
     BUCKET 
     , 
     Key 
     = 
     STATE_KEY 
     , 
     Body 
     = 
     body 
     , 
     ContentType 
     = 
     "application/json" 
     ) 
     def 
      
     _http_get 
     ( 
     params 
     : 
     dict 
     ) 
     - 
    > dict 
     : 
     qs 
     = 
     urllib 
     . 
     parse 
     . 
     urlencode 
     ( 
     params 
     , 
     doseq 
     = 
     True 
     ) 
     url 
     = 
     f 
     " 
     { 
     BASE_URL 
     } 
     ? 
     { 
     qs 
     } 
     " 
     if 
     qs 
     else 
     BASE_URL 
     req 
     = 
     Request 
     ( 
     url 
     , 
     method 
     = 
     "GET" 
     ) 
     req 
     . 
     add_header 
     ( 
     "Authorization" 
     , 
     f 
     "Bearer 
     { 
     TOKEN 
     } 
     " 
     ) 
     req 
     . 
     add_header 
     ( 
     "Accept" 
     , 
     "application/json" 
     ) 
     attempt 
     = 
     0 
     while 
     True 
     : 
     try 
     : 
     with 
     urlopen 
     ( 
     req 
     , 
     timeout 
     = 
     HTTP_TIMEOUT 
     ) 
     as 
     r 
     : 
     return 
     json 
     . 
     loads 
     ( 
     r 
     . 
     read 
     () 
     . 
     decode 
     ( 
     "utf-8" 
     )) 
     except 
     HTTPError 
     as 
     e 
     : 
     # Respect Retry-After on 429/5xx 
     if 
     e 
     . 
     code 
     in 
     ( 
     429 
     , 
     500 
     , 
     502 
     , 
     503 
     , 
     504 
     ) 
     and 
     attempt 
    < HTTP_RETRIES 
     : 
     retry_after 
     = 
     0 
     try 
     : 
     retry_after 
     = 
     int 
     ( 
     e 
     . 
     headers 
     . 
     get 
     ( 
     "Retry-After" 
     , 
     RETRY_AFTER_DEFAULT 
     ) 
     ) 
     except 
     Exception 
     : 
     retry_after 
     = 
     RETRY_AFTER_DEFAULT 
     time 
     . 
     sleep 
     ( 
     max 
     ( 
     1 
     , 
     retry_after 
     )) 
     attempt 
     += 
     1 
     continue 
     raise 
     except 
     URLError 
     : 
     if 
     attempt 
    < HTTP_RETRIES 
     : 
     time 
     . 
     sleep 
     ( 
     RETRY_AFTER_DEFAULT 
     ) 
     attempt 
     += 
     1 
     continue 
     raise 
     def 
      
     _write_page 
     ( 
     data 
     : 
     dict 
     , 
     page_idx 
     : 
     int 
     ) 
     - 
    > str 
     : 
      
     """Extract entries from Slack API response and write as JSONL.""" 
     entries 
     = 
     data 
     . 
     get 
     ( 
     "entries" 
     ) 
     or 
     [] 
     if 
     not 
     entries 
     : 
     return 
     None 
     lines 
     = 
     [ 
     json 
     . 
     dumps 
     ( 
     entry 
     , 
     separators 
     = 
     ( 
     "," 
     , 
     ":" 
     )) 
     for 
     entry 
     in 
     entries 
     ] 
     body 
     = 
     " 
     \n 
     " 
     . 
     join 
     ( 
     lines 
     ) 
     . 
     encode 
     ( 
     "utf-8" 
     ) 
     ts 
     = 
     time 
     . 
     strftime 
     ( 
     "%Y/%m/ 
     %d 
     /%H%M%S" 
     , 
     time 
     . 
     gmtime 
     ()) 
     key 
     = 
     f 
     " 
     { 
     PREFIX 
     }{ 
     ts 
     } 
     -slack-audit-p 
     { 
     page_idx 
     : 
     05d 
     } 
     .json" 
     s3 
     . 
     put_object 
     ( 
     Bucket 
     = 
     BUCKET 
     , 
     Key 
     = 
     key 
     , 
     Body 
     = 
     body 
     , 
     ContentType 
     = 
     "application/json" 
     ) 
     return 
     key 
     def 
      
     lambda_handler 
     ( 
     event 
     = 
     None 
     , 
     context 
     = 
     None 
     ): 
     state 
     = 
     _get_state 
     () 
     cursor 
     = 
     state 
     . 
     get 
     ( 
     "cursor" 
     ) 
     params 
     = 
     { 
     "limit" 
     : 
     LIMIT 
     } 
     if 
     ACTIONS 
     : 
     params 
     [ 
     "action" 
     ] 
     = 
     [ 
     a 
     . 
     strip 
     () 
     for 
     a 
     in 
     ACTIONS 
     . 
     split 
     ( 
     "," 
     ) 
     if 
     a 
     . 
     strip 
     ()] 
     if 
     cursor 
     : 
     params 
     [ 
     "cursor" 
     ] 
     = 
     cursor 
     else 
     : 
     # First run (or reset): fetch a recent window by time 
     params 
     [ 
     "oldest" 
     ] 
     = 
     int 
     ( 
     time 
     . 
     time 
     ()) 
     - 
     LOOKBACK_SEC 
     pages 
     = 
     0 
     total 
     = 
     0 
     last_cursor 
     = 
     None 
     while 
     pages 
    < MAX_PAGES 
     : 
     data 
     = 
     _http_get 
     ( 
     params 
     ) 
     _write_page 
     ( 
     data 
     , 
     pages 
     ) 
     entries 
     = 
     data 
     . 
     get 
     ( 
     "entries" 
     ) 
     or 
     [] 
     total 
     += 
     len 
     ( 
     entries 
     ) 
     # Cursor for next page 
     meta 
     = 
     data 
     . 
     get 
     ( 
     "response_metadata" 
     ) 
     or 
     {} 
     next_cursor 
     = 
     meta 
     . 
     get 
     ( 
     "next_cursor" 
     ) 
     or 
     data 
     . 
     get 
     ( 
     "next_cursor" 
     ) 
     if 
     next_cursor 
     : 
     params 
     = 
     { 
     "limit" 
     : 
     LIMIT 
     , 
     "cursor" 
     : 
     next_cursor 
     } 
     if 
     ACTIONS 
     : 
     params 
     [ 
     "action" 
     ] 
     = 
     [ 
     a 
     . 
     strip 
     () 
     for 
     a 
     in 
     ACTIONS 
     . 
     split 
     ( 
     "," 
     ) 
     if 
     a 
     . 
     strip 
     () 
     ] 
     last_cursor 
     = 
     next_cursor 
     pages 
     += 
     1 
     continue 
     break 
     if 
     last_cursor 
     : 
     _put_state 
     ({ 
     "cursor" 
     : 
     last_cursor 
     }) 
     return 
     { 
     "ok" 
     : 
     True 
     , 
     "pages" 
     : 
     pages 
     + 
     ( 
     1 
     if 
     total 
     or 
     last_cursor 
     else 
     0 
     ), 
     "entries" 
     : 
     total 
     , 
     "cursor" 
     : 
     last_cursor 
     , 
     } 
     if 
     __name__ 
     == 
     "__main__" 
     : 
     print 
     ( 
     lambda_handler 
     ()) 
     
    

Configure Lambda environment variables

  1. Go to Configuration > Environment variables > Edit > Add environment variable.
  2. Enter the following environment variables, replacing with your values:

    Key Example Value
    SLACK_AUDIT_TOKEN xoxp-... (org-level user token with auditlogs:read )
    S3_BUCKET slack-audit-logs
    S3_PREFIX slack/audit/
    STATE_KEY slack/audit/state.json
    LIMIT 200
    MAX_PAGES 20
    LOOKBACK_SECONDS 3600
    HTTP_TIMEOUT 60
    HTTP_RETRIES 3
    RETRY_AFTER_DEFAULT 2
    ACTIONS (optional, comma-separated action filter)
  3. Click Save.

  4. Select the Configurationtab. In the General configurationpanel click Edit.

  5. Change Timeoutto 5 minutes (300 seconds) and click Save.

Create an EventBridge schedule

  1. Go to Amazon EventBridge > Scheduler > Create schedule.
  2. Provide the following configuration details:
    • Name: Enter slack-audit-1h .
    • Recurring schedule: Select Rate-based schedule.
    • Rate expression: Enter 1 hours .
    • Flexible time window: Select Off.
  3. Click Next.
  4. Select Target:
    • Target API: Select AWS Lambda Invoke.
    • Lambda function: Select slack_audit_to_s3 .
  5. Click Next.
  6. Click Next(skip optional settings).
  7. Review and click Create schedule.

Optional: Create read-only IAM user for Google SecOps

  1. Go to AWS Console > IAM > Users > Create user.
  2. Provide the following configuration details:
    • User name: Enter secops-reader .
    • Access type: Select Programmatic access.
  3. Click Next.
  4. Select Attach policies directly.
  5. Click Create policy. In the JSONtab, enter:

      { 
      
     "Version" 
     : 
      
     "2012-10-17" 
     , 
      
     "Statement" 
     : 
      
     [ 
      
     { 
      
     "Effect" 
     : 
      
     "Allow" 
     , 
      
     "Action" 
     : 
      
     [ 
     "s3:GetObject" 
     ], 
      
     "Resource" 
     : 
      
     "arn:aws:s3:::slack-audit-logs/*" 
      
     }, 
      
     { 
      
     "Effect" 
     : 
      
     "Allow" 
     , 
      
     "Action" 
     : 
      
     [ 
     "s3:ListBucket" 
     ], 
      
     "Resource" 
     : 
      
     "arn:aws:s3:::slack-audit-logs" 
      
     } 
      
     ] 
     } 
     
    
  6. Click Next.

  7. Enter the policy name secops-reader-policy .

  8. Click Create policy.

  9. Return to the user creation page, refresh the policy list, and select secops-reader-policy .

  10. Click Next.

  11. Click Create user.

  12. Select the created user secops-reader .

  13. Go to Security credentials > Access keys > Create access key.

  14. Select Third-party service.

  15. Click Next.

  16. Click Create access key.

  17. Click Download .csv fileto save the credentials.

Configure a feed in Google SecOps to ingest Slack Audit 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, Slack Audit Logs ).
  5. Select Amazon S3 V2as the Source type.
  6. Select Slack Auditas the Log type.
  7. Click Next.

    Specify values for the following input parameters:

    • S3 URI: Enter the S3 bucket URI with the prefix path:

       s3://slack-audit-logs/slack/audit/ 
      

      Replace slack-audit-logs with your actual S3 bucket name.

    • Source deletion option: Select the deletion option according to your preference.

    • Maximum File Age: Include files modified in the last number of days. Default is 180 days.

    • Access Key ID: User access key with access to the S3 bucket (from the secops-reader IAM user).

    • Secret Access Key: User secret key with access to the S3 bucket (from the secops-reader IAM user).

    • Asset namespace: The asset namespace .

    • Ingestion labels: The label to be applied to the events from this feed.

  8. Click Next.

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

UDM mapping table

Log Field UDM Mapping Logic
action
metadata.product_event_type Directly mapped from the action field
actor.type
principal.labels Directly mapped with key actor.type
actor.user.email
principal.user.email_addresses Directly mapped
actor.user.id
principal.user.product_object_id Directly mapped
actor.user.id
principal.user.userid Directly mapped
actor.user.name
principal.user.user_display_name Directly mapped
actor.user.team
principal.user.group_identifiers Directly mapped
context.ip_address
principal.ip Directly mapped
context.location.domain
about.resource.attribute.labels Directly mapped with key context.location.domain
context.location.id
about.resource.id Directly mapped
context.location.name
about.resource.name Directly mapped
context.location.name
about.resource.attribute.labels Directly mapped with key context.location.name
context.location.type
about.resource.resource_subtype Directly mapped
context.session_id
network.session_id Directly mapped
context.ua
network.http.user_agent Directly mapped
context.ua
network.http.parsed_user_agent Parsed user agent derived from the context.ua field
country
principal.location.country_or_region Directly mapped
date_create
metadata.event_timestamp.seconds Epoch timestamp converted to timestamp object
details.inviter.email
target.user.email_addresses Directly mapped
details.inviter.id
target.user.product_object_id Directly mapped
details.inviter.name
target.user.user_display_name Directly mapped
details.inviter.team
target.user.group_identifiers Directly mapped
details.reason
security_result.description Directly mapped; if array, concatenated with commas
details.type
about.resource.attribute.labels Directly mapped with key details.type
details.type
security_result.summary Directly mapped
entity.app.id
target.resource.id Directly mapped
entity.app.name
target.resource.name Directly mapped
entity.channel.id
target.resource.id Directly mapped
entity.channel.name
target.resource.name Directly mapped
entity.channel.privacy
target.resource.attribute.labels Directly mapped with key entity.channel.privacy
entity.file.filetype
target.resource.attribute.labels Directly mapped with key entity.file.filetype
entity.file.id
target.resource.id Directly mapped
entity.file.name
target.resource.name Directly mapped
entity.file.title
target.resource.attribute.labels Directly mapped with key entity.file.title
entity.huddle.date_end
about.resource.attribute.labels Directly mapped with key entity.huddle.date_end
entity.huddle.date_start
about.resource.attribute.labels Directly mapped with key entity.huddle.date_start
entity.huddle.id
about.resource.attribute.labels Directly mapped with key entity.huddle.id
entity.huddle.participants.0
about.resource.attribute.labels Directly mapped with key entity.huddle.participants.0
entity.huddle.participants.1
about.resource.attribute.labels Directly mapped with key entity.huddle.participants.1
entity.type
target.resource.resource_subtype Directly mapped
entity.user.email
target.user.email_addresses Directly mapped
entity.user.id
target.user.product_object_id Directly mapped
entity.user.name
target.user.user_display_name Directly mapped
entity.user.team
target.user.group_identifiers Directly mapped
entity.workflow.id
target.resource.id Directly mapped
entity.workflow.name
target.resource.name Directly mapped
id
metadata.product_log_id Directly mapped
ip
principal.ip Directly mapped
user_agent
network.http.user_agent Directly mapped
user_id
principal.user.product_object_id Directly mapped
username
principal.user.product_object_id Directly mapped
metadata.event_type Defaults to USER_COMMUNICATION ; set to USER_CREATION if action is user_created , USER_LOGIN if action is user_login or user_login_failed , USER_LOGOUT if action is user_logout , USER_RESOURCE_ACCESS if action matches file_ , USER_RESOURCE_UPDATE_PERMISSIONS if action matches app_ , private_ , public_ , or auth_policy_ , USER_CHANGE_PERMISSIONS if action matches pref , legal_hold_ , workflow_ , channel_ , user_deactivated , user_reactivated , role_change_ , or user_channel_
metadata.log_type Hardcoded to SLACK_AUDIT
metadata.product_name Set to Enterprise Grid if date_create exists, otherwise Audit Logs if user_id exists
metadata.vendor_name Hardcoded to Slack
extensions.auth.mechanism Hardcoded to REMOTE
extensions.auth.type Set to SSO if action contains user_login or user_logout , otherwise MACHINE
security_result.action Defaults to ALLOW ; set to BLOCK if action is user_login_failed
target.application Set to Slack if date_create exists, otherwise SLACK if user_id exists

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