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Supported Data Types

📘 Logs

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Configuring the Sawmills Mask Processor

The Sawmills Mask Processor enables you to identify and mask sensitive data within telemetry streams. This ensures data privacy and compliance with regulations.

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Mask Processor Features

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Predefined Sensitive Data Types

The processor supports predefined sensitive data types. Users can select the following fields using checkboxes in the configuration interface:
Note: This processor searches across Attributes, Resources, and Body

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Fields (Optional)

Select which predefined fields you want to mask within your data. These filters cover the most common types of personal information.
  • Credit Card Number
  • Date of Birth (DOB)
  • Email Addresse
  • IPv4 Addresse
  • IPv6 Addresse
  • MAC Addresses
  • Phone Number
  • Social Security Number (SSN)

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Custom Rules (Optional)

Users can define additional filtering options in the Custom Rules section. This section allows users to create their own patterns using:
  • Contains: Simple string patterns.
  • Matches Regex: Complex patterns for specific formats not covered by the default filters.

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Example Custom Rules

Below are example regular expressions that can be used in the Custom Rules section:
  • Phone Numbers:
    • International: (?:\+?\d{1,4}[\s-]?)?(?:\(?\d{1,4}\)?[\s-]?)?\d{1,4}[\s-]?\d{1,4}(?:[\s-]?\d{1,9})?
  • Other Personal Numbers (non SSN):
    • Canada (SIN): \b\d{3}-\d{3}-\d{3}\b
    • France (INSEE): \b\d{1}\s?\d{2}\s?\d{2}\s?\d{2}\s?\d{3}\s?\d{3}\b
    • Sweden (Personnummer): \b(?:\d{6}|\d{8})-\d{4}\b
    • South Korea (Resident Registration Number): \b\d{6}-\d{7}\b
    • Finland (Personal Identity Code): \b\d{6}[-+A]\d{3}[0-9A-Za-z]\b
    • Germany (Tax ID): \b\d{2}\s?\d{3}\s?\d{3}\s?\d{3}\b
  • Date of Birth (DOB):
    • YYYY-MM-DD: \b(19|20)\d{2}[-/](0[1-9]|1[0-2])[-/](0[1-9]|[12]\d|3[01])\b
    • DD/MM/YYYY or MM/DD/YYYY: \b(0[1-9]|[12]\d|3[01])[-/](0[1-9]|1[0-2])[-/](19|20)\d{2}\b
  • Credit Card Numbers (Extended):
    • (Visa, Mastercard, American Express, Diners Club): \b(?:4\d{3}|5[1-5]\d{2}|6(?:011|5\d{2})|3[47]\d{2}|3(?:0[0-5]|[68]\d)|2(?:2[2-9]|[3-7]\d)\d{2})[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{1,4}\b

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Implementation Notes

  • Regular expressions provided above are pre-tested but should be verified for edge cases.
  • Masking should occur prior to data storage or transmission to ensure compliance.
  • Ensure performance and accuracy by limiting custom regex patterns to those absolutely necessary.