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Redact personal information

Function: Redact personal information​

This action helps you protect sensitive data by automatically identifying and replacing personal information within any given text with a generic [REDACTED] placeholder. This is crucial for privacy, compliance, and anonymization purposes, ensuring that confidential details like names, addresses, phone numbers, and other identifiers are not exposed.

Input,

  • Text: A piece of text that you want to scan and redact. This is where you'll provide the content that might contain personal information.

Output,

  • Result: A piece of text. This is the variable where the action will store the modified text after all identified personal information has been replaced with [REDACTED]. By default, this will be stored in a variable named RESULT.

Execution Flow,

Real-Life Examples,

Example 1: Anonymizing Customer Support Chat Logs​

Imagine you have customer support chat logs that you need to share with a third-party analytics tool, but you must remove all personally identifiable information (PII) to comply with privacy regulations.

  • Inputs:
    • Text: "Hello, my name is Alice Smith, and my email is [email protected]. My phone number is 555-123-4567. I live at 123 Main St, Anytown, CA 90210."
  • Result: The Result variable will contain: "Hello, my name is [REDACTED], and my email is [REDACTED]. My phone number is [REDACTED]. I live at [REDACTED], [REDACTED], [REDACTED] [REDACTED]."

Example 2: Preparing HR Documents for Internal Review​

An HR manager needs to share an employee performance review with a team lead, but certain sensitive details like the employee's Social Security Number (SSN) and exact date of birth should not be visible.

  • Inputs:
    • Text: "Employee: John Doe. SSN: *--1234. Date of Birth: 1985-03-15. Performance review attached."
  • Result: The Result variable will contain: "Employee: [REDACTED]. SSN: [REDACTED]. Date of Birth: [REDACTED]. Performance review attached."

Example 3: Sanitizing Medical Notes for Research​

A medical researcher wants to use patient notes for a study but needs to ensure all patient names, hospital names, and specific dates are removed to maintain patient confidentiality.

  • Inputs:
    • Text: "Patient: Jane Doe, admitted to St. Jude's Hospital on 2023-10-26 for a routine check-up. Her primary care physician is Dr. Emily White."
  • Result: The Result variable will contain: "Patient: [REDACTED], admitted to [REDACTED] on [REDACTED] for a routine check-up. Her primary care physician is [REDACTED]."