Properly evaluate whether data contains sensitive information before applying security measures like redaction. Not all identifiers or structured data require protection - understand the nature and content of the data to make informed security decisions.
Properly evaluate whether data contains sensitive information before applying security measures like redaction. Not all identifiers or structured data require protection - understand the nature and content of the data to make informed security decisions.
For example, group IDs that are random strings (like 66a810bbaa36cf27c75073afb71aeda4b6b1f9d4-422
) don’t contain personal information and may not need redaction in test snapshots, while actual user credentials or personal identifiers would require protection.
# Good - Understanding data nature before redaction
'groups': dict({
'test-groupid': dict({ # Random string, not sensitive
'name': '**REDACTED**', # Actual group name may be sensitive
}),
})
Consider the actual content and purpose of data rather than applying blanket security policies to all structured information.
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