XDM Masking Tool

XDM masks sensitive test data while preserving realistic formats, relationships, and business behavior. Apply consistent data-masking rules across databases and applications to deliver compliant, privacy-safe test data without relying on risky production copies.

Ensure compliance with data privacy regulations

XDM’s Masking Tool enables you to quickly initiate and deploy a personalized, adaptable, and scalable data masking solution for all application data, ensuring compliance with personal data regulations such as GDPR, HIPAA, etc.

Ensure compliance with data privacy regulations

Data that looks like real data

Utilize all data available within your applications and mask it so it looks like it was never changed. Employ real names, addresses, and banking information using look-up tables for authentic real-world data.

Data that looks like real data

Consistent data masking across all platforms

XDM’s data masking routines can be applied to various types of data, ranging from cloud storage solutions to relational database products and legacy VSAM clusters. This allows for consistent data masking across all platforms.

XDM test data platform supports

Consistent data masking across all platforms

Detect PII data

Scan your application data for PII, such as names and addresses, using dictionary and expression-based algorithms. These algorithms support common tasks as well as specific requirements.

Detect PII data

Enforce masking

Centralized configuration on a data source ensures that all data is masked before being copied, enhancing security and compliance measures. Object-level, ACL-based permission management authorizes the configuration and modification of the data masking setup.

Enforce masking

Consistent masking across all data operations

Application data can be masked consistently, whether in-place, alongside bulk copies, or when sub-setting specific business objects.

Consistent masking across all data operations

Out-of-the-box look-up tables and modification methods

XDM comes with preinstalled modification methods and look-up tables for names, multinational addresses with matching geolocation data, banking information, and more, enabling quick setup of a data masking configuration in just a few hours. Hashing algorithms ensure a deterministic, non-reversible selection of entries in the look-up tables.

Out-of-the-box look-up tables and modification methods

Create Your Own Look-Up Tables and Modification Methods

You can also create individual look-up tables based on the original application data to address specific data scenarios in the masked data. JavaScript or Groovy scripts can also be used to create customized modification methods. Each row’s modification can be toggled based on the data in all columns of the row. Additionally, entire rows can be removed.

Create Your Own Look-Up Tables and Modification Methods

Customize Masking Divergence

The level of divergence from real-world data can be configured for all types of data. For example, should masked first names align with the gender of the person? Should addresses be located in the same city, state, or country? Should personal data of individuals from low-density regions be considered within a broader geographic region incl neighboring areas?

Customize Masking Divergence

Generate data that feels real

Generate data using the row multiplication functionality of the masking engine. Create realistic data for single tables, services, or CSV files based on provided look-up tables. Construct complete test scenarios by multiplying business objects across multiple tables, generating new ID values, and maintaining referential integrity.

Generate data that feels real

Collaborate Easily

XDM makes collaboration among different users easy by separating the implementation of individual modification methods from the assignment of personal information attributes. Data masking can then be applied in-place or during any data provision process.

Collaborate Easily

Audits

XDM provides overview reports on data provisioning and data masking. Effectively handle PII data across various test environments or at an individual level, including the option to selectively delete PII data for specific customers.

Audits

XDM Masking FAQs

The XDM Masking Tool protects sensitive information in production-derived data before that data is used in non-production environments. It helps organizations keep realistic test data while reducing privacy and compliance risk.

The Masking Tool is used to make data safer for development, testing, QA, and user acceptance testing. It is especially useful when teams need production-like data behavior without exposing confidential values.

Masked production-derived data is the right fit when test scenarios depend on production-like behavior, business rules, and relationships between data elements. That makes it especially valuable for complex enterprise applications.

Masking improves compliance by reducing the exposure of personal, financial, health, and other sensitive data in lower environments. It helps organizations apply stronger controls while keeping data usable for testing and validation.

Yes. Effective masking keeps data structurally and functionally useful while protecting the original values. The goal is to maintain realistic test conditions, not just hide information.

Yes. Many organizations use both. Masking supports high-realism testing, while synthetic data is useful for scenario creation, training, and cases where production-derived records are not appropriate