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    Collect Aware audit logs

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    This document explains how to ingest Aware audit logs to Google Security Operations using Amazon S3.

    Before you begin

    Make sure you have the following prerequisites:

    • Google SecOps instance
    • Privileged access to Awaretenant
    • Privileged access to AWS(S3, IAM, Lambda, EventBridge)

    Collect Aware prerequisites (IDs, API keys, org IDs, tokens)

    1. Sign in to the Aware Admin Console.
    2. Go to System Settings > Integrations > API Tokens.
    3. Click + API Tokenand grant Audit Logs Read-onlypermission.
    4. Copy and save in a secure location the following details:
      • API Token
      • API Base URL: https://api.aware.work/external/system/auditlogs/v1

    Configure AWS S3 bucket and IAM for Google SecOps

    1. Create Amazon S3 bucketfollowing this user guide: Creating a bucket
    2. Save bucket Nameand Regionfor future reference (for example, aware-audit-logs ).
    3. Create a user following this user guide: Creating an IAM user .
    4. Select the created User.
    5. Select the Security credentialstab.
    6. Click Create Access Keyin the Access Keyssection.
    7. Select Third-party serviceas the Use case.
    8. Click Next.
    9. Optional: add a description tag.
    10. Click Create access key.
    11. Click Download CSV fileto save the Access Keyand Secret Access Keyfor later use.
    12. Click Done.
    13. Select the Permissionstab.
    14. Click Add permissionsin the Permissions policiessection.
    15. Select Add permissions.
    16. Select Attach policies directly
    17. Search for and select the AmazonS3FullAccesspolicy.
    18. Click Next.
    19. Click Add permissions.

    Configure the IAM policy and role for S3 uploads

    1. In the AWS console, go to IAM > Policies > Create policy > JSON tab.

    2. Enter the following policy:

        { 
  
 "Version" 
 : 
  
 "2012-10-17" 
 , 
  
 "Statement" 
 : 
  
 [ 
  
 { 
  
 "Sid" 
 : 
  
 "AllowPutObjects" 
 , 
  
 "Effect" 
 : 
  
 "Allow" 
 , 
  
 "Action" 
 : 
  
 "s3:PutObject" 
 , 
  
 "Resource" 
 : 
  
 "arn:aws:s3:::aware-audit-logs/*" 
  
 }, 
  
 { 
  
 "Sid" 
 : 
  
 "AllowGetStateObject" 
 , 
  
 "Effect" 
 : 
  
 "Allow" 
 , 
  
 "Action" 
 : 
  
 "s3:GetObject" 
 , 
  
 "Resource" 
 : 
  
 "arn:aws:s3:::aware-audit-logs/aware/state.json" 
  
 } 
  
 ] 
 }
      • Replace aware-audit-logs if you entered a different bucket name.

    3. Click Next > Create policy.

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

    5. Attach the newly created policy.

    6. Name the role AwareAuditLambdaRole 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 aware-audit-poller
    Runtime Python 3.13
    Architecture x86_64
    Execution role AwareAuditLambdaRole

    1. After the function is created, open the Codetab, delete the stub and enter the following code ( aware-audit-poller.py ):

        import 
  
 boto3 
 , 
  
 gzip 
 , 
  
 io 
 , 
  
 json 
 , 
  
 os 
 , 
  
 time 
 , 
  
 urllib.parse 
 import 
  
 urllib.request 
 from 
  
 datetime 
  
 import 
 datetime 
 , 
 timedelta 
 , 
 timezone 
 from 
  
 botocore.exceptions 
  
 import 
 ClientError 
 AWARE_ENDPOINT 
 = 
 "https://api.aware.work/external/system/auditlogs/v1" 
 API_TOKEN 
 = 
 os 
 . 
 environ 
 [ 
 "AWARE_API_TOKEN" 
 ] 
 BUCKET 
 = 
 os 
 . 
 environ 
 [ 
 "S3_BUCKET" 
 ] 
 PREFIX 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 "S3_PREFIX" 
 , 
 "aware/audit/" 
 ) 
 STATE_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 "STATE_KEY" 
 , 
 "aware/state.json" 
 ) 
 MAX_PER_PAGE 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 "MAX_PER_PAGE" 
 , 
 "500" 
 )) 
 s3 
 = 
 boto3 
 . 
 client 
 ( 
 "s3" 
 ) 
 def 
  
 _load_state 
 (): 
 try 
 : 
 obj 
 = 
 s3 
 . 
 get_object 
 ( 
 Bucket 
 = 
 BUCKET 
 , 
 Key 
 = 
 STATE_KEY 
 ) 
 return 
 json 
 . 
 loads 
 ( 
 obj 
 [ 
 "Body" 
 ] 
 . 
 read 
 () 
 . 
 decode 
 ( 
 "utf-8" 
 )) 
 except 
 ClientError 
 as 
 e 
 : 
 if 
 e 
 . 
 response 
 . 
 get 
 ( 
 "Error" 
 , 
 {}) 
 . 
 get 
 ( 
 "Code" 
 ) 
 == 
 "NoSuchKey" 
 : 
 return 
 {} 
 raise 
 def 
  
 _save_state 
 ( 
 state 
 ): 
 s3 
 . 
 put_object 
 ( 
 Bucket 
 = 
 BUCKET 
 , 
 Key 
 = 
 STATE_KEY 
 , 
 Body 
 = 
 json 
 . 
 dumps 
 ( 
 state 
 ) 
 . 
 encode 
 ( 
 "utf-8" 
 )) 
 def 
  
 handler 
 ( 
 event 
 , 
 context 
 ): 
 tz_utc 
 = 
 timezone 
 . 
 utc 
 now 
 = 
 datetime 
 . 
 now 
 ( 
 tz 
 = 
 tz_utc 
 ) 
 state 
 = 
 _load_state 
 () 
 start_date 
 = 
 ( 
 datetime 
 . 
 fromisoformat 
 ( 
 state 
 [ 
 "last_date" 
 ]) 
 . 
 date 
 () 
 if 
 "last_date" 
 in 
 state 
 else 
 ( 
 now 
 - 
 timedelta 
 ( 
 days 
 = 
 1 
 )) 
 . 
 date 
 () 
 ) 
 end_date 
 = 
 now 
 . 
 date 
 () 
 total 
 = 
 0 
 day 
 = 
 start_date 
 while 
 day 
< = 
 end_date 
 : 
 day_str 
 = 
 day 
 . 
 strftime 
 ( 
 "%Y-%m- 
 %d 
 " 
 ) 
 params 
 = 
 { 
 "filter" 
 : 
 f 
 "startDate: 
 { 
 day_str 
 } 
 ,endDate: 
 { 
 day_str 
 } 
 " 
 , 
 "limit" 
 : 
 str 
 ( 
 MAX_PER_PAGE 
 )} 
 offset 
 = 
 1 
 out 
 = 
 io 
 . 
 BytesIO 
 () 
 gz 
 = 
 gzip 
 . 
 GzipFile 
 ( 
 filename 
 = 
 "aware_audit.jsonl" 
 , 
 mode 
 = 
 "wb" 
 , 
 fileobj 
 = 
 out 
 ) 
 wrote_any 
 = 
 False 
 while 
 True 
 : 
 q 
 = 
 urllib 
 . 
 parse 
 . 
 urlencode 
 ({ 
 ** 
 params 
 , 
 "offset" 
 : 
 str 
 ( 
 offset 
 )}) 
 req 
 = 
 urllib 
 . 
 request 
 . 
 Request 
 ( 
 f 
 " 
 { 
 AWARE_ENDPOINT 
 } 
 ? 
 { 
 q 
 } 
 " 
 ) 
 req 
 . 
 add_header 
 ( 
 "X-Aware-Api-Key" 
 , 
 API_TOKEN 
 ) 
 with 
 urllib 
 . 
 request 
 . 
 urlopen 
 ( 
 req 
 , 
 timeout 
 = 
 30 
 ) 
 as 
 resp 
 : 
 payload 
 = 
 json 
 . 
 loads 
 ( 
 resp 
 . 
 read 
 () 
 . 
 decode 
 ( 
 "utf-8" 
 )) 
 items 
 = 
 ( 
 payload 
 . 
 get 
 ( 
 "value" 
 ) 
 or 
 {}) 
 . 
 get 
 ( 
 "auditLogData" 
 ) 
 or 
 [] 
 if 
 not 
 items 
 : 
 break 
 for 
 item 
 in 
 items 
 : 
 gz 
 . 
 write 
 (( 
 json 
 . 
 dumps 
 ( 
 item 
 , 
 separators 
 = 
 ( 
 "," 
 , 
 ":" 
 )) 
 + 
 "n" 
 ) 
 . 
 encode 
 ( 
 "utf-8" 
 )) 
 total 
 += 
 1 
 wrote_any 
 = 
 True 
 offset 
 += 
 1 
 time 
 . 
 sleep 
 ( 
 0.2 
 ) 
 gz 
 . 
 close 
 () 
 if 
 wrote_any 
 : 
 key 
 = 
 f 
 " 
 { 
 PREFIX 
 }{ 
 day 
 . 
 strftime 
 ( 
 '%Y/%m/ 
 %d 
 ' 
 ) 
 } 
 /aware_audit_ 
 { 
 now 
 . 
 strftime 
 ( 
 '%Y%m 
 %d 
 _%H%M%S' 
 ) 
 } 
 .jsonl.gz" 
 s3 
 . 
 put_object 
 ( 
 Bucket 
 = 
 BUCKET 
 , 
 Key 
 = 
 key 
 , 
 Body 
 = 
 out 
 . 
 getvalue 
 (), 
 ContentType 
 = 
 "application/json" 
 , 
 ContentEncoding 
 = 
 "gzip" 
 , 
 ) 
 _save_state 
 ({ 
 "last_date" 
 : 
 day 
 . 
 isoformat 
 ()}) 
 day 
 += 
 timedelta 
 ( 
 days 
 = 
 1 
 ) 
 return 
 { 
 "status" 
 : 
 "ok" 
 , 
 "written" 
 : 
 total 
 }

    2. Go to Configuration > Environment variables > Edit > Add new environment variable.

    3. Enter the following environment variables, replacing with your values:

      Key Example value
      S3_BUCKET aware-audit-logs
      S3_PREFIX aware/audit/
      STATE_KEY aware/state.json
      AWARE_API_TOKEN <your-aware-api-token>
      MAX_PER_PAGE 500

    4. After the function is created, stay on its page (or open Lambda > Functions > your-function**).

    5. Select the Configurationtab.

    6. In the General configurationpanel click Edit.

    7. 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:
      • Recurring schedule: Rate( 1 hour ).
      • Target: Your Lambda function aware-audit-poller .
      • Name: aware-audit-poller-1h .
    3. Click Create schedule.

    Optional: Create read-only IAM user & keys for Google SecOps

    1. In the AWS Console. go to IAM > Users > Add users.
    2. Click Add users.
    3. Provide the following configuration details:
      • User: secops-reader .
      • Access type: Access key — Programmatic access.
    4. Click Create user.
    5. Attach minimal read policy (custom): Users > secops-reader > Permissions > Add permissions > Attach policies directly > Create policy.

    6. In the JSON editor, enter the following policy:

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

    7. Set the name to secops-reader-policy .

    8. Go to Create policy > search/select > Next > Add permissions.

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

    10. Download the CSV(these values are entered into the feed).

    Configure a feed in Google SecOps to ingest Aware Audit logs

    1. Go to SIEM Settings > Feeds.
    2. Click + Add New Feed.
    3. In the Feed namefield, enter a name for the feed (for example, Aware Audit logs ).
    4. Select Amazon S3 V2as the Source type.
    5. Select Aware Auditas the Log type.
    6. Click Next.
    7. Specify values for the following input parameters:
      • S3 URI: s3://aware-audit-logs/aware/audit/
      • Source deletion options: Select 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.
      • Secret Access Key: User secret key with access to the S3 bucket.
      • Asset namespace: The asset namespace .
      • Ingestion labels: The label applied to the events from this feed.
    8. Click Next.
    9. Review your new feed configuration in the Finalizescreen, and then click Submit.

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

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