XDM
Masking tool
Ensure compliance with data privacy regulations
XDM’s Masking Tool enables you to quickly initiate and deploy a personalized, adaptable, and scalable 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 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 masking across all platforms.
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 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 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
