While protecting privacy, context, form, as well as integrity, must be retained. Data protection can be enhanced by de-sensitizing sensitive data and de-identifying it. Pseudonymize data for privacy compliance, analytics, and analytics. Obscured data preserves context and referential integrity, so that the masked data is usable in testing, analytics, and support environments. Informatica Persistent data masking is a high-performance, scalable data masking solution that protects confidential data such as credit card numbers and addresses. It creates realistic, de-identified data that can then be shared internally or externally. It can also be used to reduce the risk of data breaches occurring in nonproduction environments, create higher-quality test data, streamline development projects, and comply with data privacy regulations.