Release Notes - Data Masking Module V27.0

Release Overview

Overview:

Calculated field rule

 

Accelario is pleased to announce a significant update to our Masking Service by introducing the Calculated Field Rule feature. This enhancement expands our data privacy capabilities by enabling cross-column masking functionality.

Key Features:

 

  • The calculated field rule introduces the ability to define masking logic that considers the values of multiple columns, allowing for dynamic masking outputs based on interdependent data within the same record.

  • This helps us to tailor the masking process to accommodate complex privacy requirements where sensitive data is spread across several fields.

  • Enhanced data correlation - our previous single-column masking approach is now enriched to address scenarios requiring correlated data considerations.

  • Contains an embedded JavaScript-based expression builder to craft custom masking rules, allowing for a vast range of complexities in data masking logic.

  • Users can develop masking rules that range from straightforward to highly sophisticated, ensuring flexibility in addressing unique data scenarios.

 

This feature update significantly strengthens our Masking Service, offering users the ability to create complex masking rules with an advanced JavaScript-based expression builder. Customers now have the flexibility to design a wide spectrum of data masking rules – from the simplest to the most complex – ensuring precise and compliant data privacy across various scenarios.

Masking preview

 

Accelario has introduced the Masking preview feature, a pivotal update to our Masking Service that provides a real-time, in-memory testing environment for data masking.

Key Features:

  • Users can now perform test masking operations on a selected subset of data directly within the system's memory.

  • The outcomes of masking rules are immediately visible within the Masking service UI for quick verification.

  • This feature allows for a non-destructive preview, ensuring that data integrity is maintained during the testing phase.

Benefits:

  • Immediate validation. Users can quickly validate the impact of masking rules without having to process the entire dataset.

  • Efficiency. This preview capability saves time by identifying issues before the full masking operation commences.

  • Risk reduction. By confirming the effectiveness of masking rules beforehand, the risk of data loss or compliance issues in the actual masking process is greatly minimized.

With the 'Masking Preview' feature, users gain a powerful tool to ensure their data masking rules are precise and effective, boosting confidence in Accelario Masking service before committing to large-scale masking operations.