Overview
The Sensitivity Types Dashboard provides a centralized view of all sensitivity classifications available within the platform.
Sensitivity Types are used to categorize data based on sensitivity level, confidentiality requirements, or potential impact if exposed.
These classifications support structured identification of sensitive information across datasets and AI systems.
The dashboard enables organizations to maintain awareness of the types of sensitive data being used within AI environments.
Purpose
The Sensitivity Types Dashboard helps organizations define and manage classifications that indicate how sensitive data is.
Sensitivity classifications support governance activities by helping organizations understand how data should be handled, protected, and monitored.
Maintaining sensitivity types supports risk management, compliance activities, and responsible AI practices.
Sensitivity Types may be referenced when creating or reviewing datasets and AI systems.
Key features
view sensitivity types
Displays all sensitivity classifications available within the platform.
Each sensitivity type represents a category of data sensitivity that may require specific governance controls.
Typical examples may include:
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
Each sensitivity type includes descriptive information to support classification decisions.
create custom sensitivity types
Users can create custom sensitivity classifications based on organizational requirements.
Custom sensitivity types allow organizations to define categories aligned with internal governance frameworks.
Creating custom sensitivity types helps ensure datasets are categorized appropriately based on how sensitive the data is.
Custom sensitivity types become available for selection when creating or updating datasets.
supports data classification consistency
Using predefined and custom sensitivity types supports consistent categorization of datasets.
Consistent classification improves visibility of sensitive information across AI systems.
Sensitivity classifications support alignment between datasets, risk assessments, and compliance activities.
supports governance workflows
Sensitivity Types are referred when:
creating datasets
reviewing AI systems
conducting risk assessments
supporting compliance activities
Using standardized classifications helps maintain consistency across governance processes.
How to use
access sensitivity types dashboard
Navigate to AI Inventory.
Select Sensitivity Types.
The dashboard displays all available sensitivity classifications.
review existing classifications
Review existing sensitivity types to understand how sensitive data is categorized within the organization.
Sensitivity classifications may be referenced when creating datasets.
create a new sensitivity type
Select the option to create a new sensitivity type.
Provide relevant classification information such as:
sensitivity name
description
classification context
Save the sensitivity type to make it available for dataset classification.
Notes
- Sensitivity Types provide a structured method for identifying and managing sensitive information.
- Consistent classification supports governance oversight across datasets and AI systems.
- Sensitivity classifications help organizations understand how data is used and protected within AI environments.
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