The Data Privacy Solution
Camouflage is the only enterprise-level software built from the ground-up to mask or de-identify copies of production data for use in non-production databases. The software enforces 'need to know access' to personally identifiable information, ensuring that only those individuals who absolutely require production data have the associated privileges. For those individuals who work with non-production data, Camouflage provides realistic but de-identified information that maintains the properties and behavior of the underlying production data.
The software is both highly configurable and flexible, enabling it to meet the data masking requirements of any organization. Camouflage was built for platform and database independence, supporting a wide range of operating systems and database types. The masking software comes delivered with a variety of prepackaged masking transformers, allowing clients to mask their data in countless ways, while also maintaining relational integrity at the database, application, and integrated database levels. Combined with the software's robust scripting capability, Camouflage is capable of transforming data in many unique ways, thus protecting sensitive information the best way possible.
Common Uses
While countless barriers and security measures protect production databases, many unprotected copies of this information exist across IT networks, leaving information exposed and vulnerable to data theft. Camouflage is used to mask these copies of production information and to create realistic and fully functional data for use in a variety of non-production environments. The usability of Camouflage is quite comprehensive, the most common uses for the software including:
- Software and Application Development
- Implementation Testing
- Quality Assurance
- Data Mining
- Training
- Outsourcing
- Offshoring
While Camouflage is commonly used in the above environments, the software is ideal for any situation in which clients need realistic and fully functional data to undertake their job, but do not require access to real production data.






