Masking Data
Sensitive Data Masking
Use Case: Protecting sensitive data within log entries by masking or obfuscating it.
Example: You want to mask credit card numbers or email addresses in logs to ensure data privacy.
Transforms:
Sensitive Data Mask: Replace sensitive data with placeholders or mask part of the field value based on regex patterns.
Masking using Regular Expression
Use Case: Define regular expressions that can be used to redact or mask sensitive information.
Example: Redact sensitive information that is logged in each event such as customer IDs, organization information, etc.
Transforms:
Sensitive Data Mask: Define regular expressions that match data to be masked/redacted.
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