Oracle Data Masking and Subsetting helps database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by easily discarding unnecessary data.
Oracle Data Masking and Subsetting enables entire copies or subsets of application data to be extracted from the database, obfuscated, and shared with partners inside and outside of the business. The integrity of the database is preserved assuring the continuity of the applications.
Application Data Modeling automatically discovers columns from Oracle Database tables containing sensitive information based on built-in discovery patterns such as national identifiers, credit card numbers, and other personally identifiable information. It also automatically discovers parent-child relationships defined in the database.
Centralized, extensive and customizable library of predefined masking formats such as national identifiers, credit card numbers, and other personally identifiable information facilitates ready-to-go masking formats. Downloadable masking templates for select version of Oracle E-Business Suite and Oracle Fusion Applications further simplifies the task of defining masking rules.
Comprehensive masking transformations caters different masking use cases such as masking based on a condition, generating consistent masked outputs for a given input and more.
Sophisticated subsetting techniques facilitates generating subsets of data based on goal like percentage of database size or percentage of rows in a table or based on conditions like region, time, department and more.
Masking and subsetting can be performed on a cloned copy of the original data, eliminating any overhead on production systems. Alternatively, masking and subsetting can be performed during database export, eliminating the need for staging servers. Masking and subsetting can be performed on data in non-Oracle databases by staging the data in an Oracle Database using the relevant Oracle Database Gateway.