Sensitivity Types Dashboard

  • Updated

The Sensitivity Types page allows your organization to define and manage classifications for different kinds of sensitive data used in AI systems and datasets. These classifications are used to evaluate risks, enforce data handling policies, and support governance activities across the platform.

Purpose

This page is used to configure the types of sensitive data that may exist within your organization’s AI systems or associated datasets. Sensitivity Types support:

  • Risk assessment and data classification

  • Privacy and security evaluation

  • Automated tagging and tracking of sensitive assets

  • Compliance mapping to regulations like GDPR, HIPAA, and PCI-DSS

Each sensitivity type acts as a label that can be applied to datasets across RexCommand, helping to identify and manage regulatory exposure or data protection obligations.

Using the Dashboard

The top section of the page shows a list of predefined global sensitivity types available to all organizations, including:

  • PII – Personally Identifiable Information

  • PHI – Protected Health Information

  • PCI – Payment Card Information

  • Financial – Financial and accounting data

  • Confidential – Sensitive business information

  • Biometric – Biometric identification data

  • Other – Other sensitive data types

These global types cannot be edited or deleted.

Add New Sensitivity Type

Organizations can also define custom sensitivity types specific to their internal needs.

To create a new type:

  1. Enter a name (required)

  2. Optionally, enter a description

  3. Click + Add Sensitivity Type

Once added, the new classification will be available when tagging or evaluating datasets throughout RexCommand.

Notes

  • Sensitivity types help power visibility, filtering, and compliance tooling within Risk Management and Dataset tagging.

  • They are especially useful when evaluating AI risks tied to data misuse, overreach, or exposure.

  • Custom types are specific to your company and only visible within your instance.

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