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Gainsight Inc.

PII Protection and Anonymization Features

Protect sensitive data with built-in PII detection and anonymization features designed to support privacy and compliance standards.

Protect sensitive data with built-in PII detection and anonymization features designed to support privacy and compliance standards.

Overview

Personally Identifiable Information (PII) Anonymization automatically redacts sensitive personal information from customer communications at the ingestion stage. It uses regular expression (regex) pattern matching to detect and replace PII with standardized tokens, ensuring no original PII is stored in Staircase systems. 

PII Anonymization checkbox in Settings Configuration.

With PII Anonymization you can: 

  • Reduce compliance risk with data privacy regulations.
  • Ensure consistent data protection without manual intervention.
  • Allow for customization to support business-specific identifiers.

Note

  • PII Anonymization applies only to new data ingested after the feature is enabled. Previously stored communications remain unchanged.
  • PII is never saved in its original form in Staircase databases.
  • PII redaction applies to emails, support tickets, and chat messages where sensitive information is commonly shared in text form. Meeting transcripts are not included since PII is rarely shared conversationally and verbal communication doesn't typically include the exact digit patterns required for regex detection.
    PI Redaction Example

For more information on how to activate PII Anonymization, refer to AI Preference article. 

PII Types Protected by Default

The following table displays PII Type and corresponding Replacement Token used by Staircase AI: 

PII Type Replacement Token Examples
Email Addresses [EMAIL_REDACTED] john.doe@example.com
Phone Numbers [PHONE_REDACTED] (555) 123-4567, +1-555-123-4567
Credit Cards [CC#_REDACTED] Various card formats
Medical Record Numbers [MEDID_REDACTED] Healthcare identifiers
Student ID Numbers [SID_REDACTED] Educational IDs
IP Addresses [IP_REDACTED] IPv4, IPv6 addresses
Vehicle ID Numbers (VINs) [VIN_REDACTED] Vehicle identifiers
Postal Codes [ZIP_REDACTED] ZIP/postal codes

Custom PII Patterns

Organizations can request detection of additional PII types by sending an email to support@gainsight.com with the following details:

  • Pattern description and business justification
  • 5-10 examples of the data format
  • Preferred replacement token format
  • Custom patterns require engineering evaluation for specificity and system impact.