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Data Scientist
Can someone please share any insights of how they have implemented data masking and obfuscation of sensitive data before the data lands in cloud storage such as s3 or Redshift? I have tried glue databrew but the solution does not scale for large number of files coming into the bucket concurrently.
Data Manager
For auditability and troubleshooting, we brought the file to S3 landing bucket in raw form and then applied the data tokenization for sensitive columns. Next activity is to delete the raw data immediately after use or retain for couple of days to support future troubleshooting. Also ensure that except service account, no one can read the raw file.
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22 Apr 20251.5k Views4 Comments
Information Security Manager
Is presigned URLs to access S3 secure?
IT Manager
Once you create the URL and the URL leaves your control anyone who gets access to the URL could potentially use the URL.  You can set a time limit for the URL to limit how long it can be used, but that is not much of a control.  I don't really consider it much better than using basic authentication(user ID/password)  Working with presigned URLs - Amazon Simple Storage Service
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14 Jun 2024403 Views1 Comment