Overview
IBM InfoSphere DataStage Pack for Data Masking provides in-line capabilities for masking sensitive data in extract, transform, load (ETL) jobs for information integration
Mask sensitive data in ETL processes to help reduce compliance costs and security risks
Data privacy is a global issue. Many data privacy requirements are a result of specific legislation that requires companies to maintain a certain level of privacy and security regarding their customers’ data. Given that data is a critical asset at the core of every business, it must be protected in every phase of its lifecycle within an organization - data privacy is a key element to protecting the privacy of enterprise data in non-production environments.
For integrated, in-line, data masking for ETL processes, the InfoSphere Data Stage Pack for Data Masking leverages the InfoSphere Optim capabilities to help ensure realistic test data for application testing while adhering to customer privacy requirements.
In-line masking capabilities designed to ensure sensitive data used in InfoSphere DataStage ETL processes is not exposed to development or test teams
Pre-configured masking policies within InfoSphere DataStage for common business data types such as e-mail address, customer name, address, social security number, credit card number
Leverages the InfoSphere Optim proven technology for data masking capabilities
Maintains semantic and referential integrity of the masked data within InfoSphere DataStage for realistic, reliable, application testing
Supports masking for complex file types including mainframe files and EBCIDIC files
Leverages the DataStage user interface and parallel processing framework for consistency, re-usability, and scalability
Leverages the common Information Server platform for data lineage to increase visibility into the overall masking flow within the ETL process
Additional products, services and solutions
Products
Provides comprehensive, automated, capabilities to support enterprise testing methodologies and best practices
