Data masking

Drivetrain's data masking feature provides a robust solution for safeguarding sensitive information within your models, reports, and metrics.

By selectively obscuring sensitive data while preserving its usability, data masking helps maintain privacy and compliance.

Consider a scenario where you, as a CFO, want to share a headcount model with your team. However, you need to protect sensitive salary information from unauthorised access. Data masking addresses this challenge by allowing you to control who can view certain metrics and variables.

To implement data masking in your Drivetrain environment, contact your customer success manager to configure data masking to meet your specific security and compliance needs.

Information needed from you

• Identify sensitive columns: Determine which columns in your Drivetrain lists contain sensitive data. This might include columns like salary, social security number or any other information that should be protected or restricted.

• Define access levels: Determine who should have full access to the unmasked data.

• Configure summaries: Decide at what level (e.g. department, region) should summary remain visible even when individual data is masked. This enables other users who do not have access to the masked data can still analyze data trends without compromising security.

Example

If you want to mask salary information in a headcount model:

• Sensitive column: Salary.

• Access levels: Full access for HR managers, limited access for team leads.

• Visible summaries: Keep average salary visible at the department level.

Additional considerations

• Derived data: Data masking applies to both direct and derived columns.

• Data exports: Masked data is also protected when exported from Drivetrain.