Additional Features
Repeatable Methodology
Camouflage saves all masking configurations in project files for database refreshes, future use and modification, and migration between different environments.
Database Driven
Camouflage retrieves and manipulates data directly from the database meta-data, allowing clients to easily configure the software. Additionally, the configuration elements, such as tables and fields, are based on the database design.
Realistic Data
Camouflage uses intelligent masking techniques to create realistic and fully functional data. Once the data is de-identified, it maintains its correct behavior needed for use in a variety of non-production environments.
GUI and Engine Independence
The GUI and engine components of Camouflage can be installed a variety of ways. Both components can be installed directly on the database server or they can be installed directly on a client machine. Alternatively the two pieces can be installed in a mixed deployment environment, whereby the engine is installed directly on the server and the GUI is installed on the client machine.
Command Line Processing
The Camouflage engine can be invoked from the command line which allows for integration with automated business processes. The software is easily configured to run as part of regular and/ or nightly refresh processes.
Mapping Tables
Camouflage instills optional mapping tables that store before and after images of masking projects. These tables are completely optional, and are secured and/or removed by the database administrator.
Database Level Security
Database access is defined by the security inherent in the database, not in the Camouflage application. The username and security permissions for Camouflage are the same as those privileged by the database. This security feature ensures that only those individuals with high level database access have access to Camouflage.
Specialized Functions
Camouflage allows clients the option to mask or de-identify only a selected portion of the data. Also, the software enables clients to mask data so that particular data elements are maintained, for example, the gender column of a customer database.