K2view Data Masking is a data protection solution that enables organizations to anonymize sensitive data while preserving its structure, relationships, and usability for testing, analytics, and data sharing. It discovers and classifies sensitive data across enterprise systems and applies consistent masking techniques to ensure compliance with data privacy regulations.z The platform uses an entity-based approach to masking, organizing data around business entities such as customers, accounts, or orders. This ensures that masking is applied consistently across all related data elements, maintaining referential integrity and contextual accuracy across multiple systems. Masking can be performed both in flight and at rest, supporting a wide range of operational and analytical use cases. K2view centralizes masking policies, allowing organizations to define rules once and enforce them across all data sources and environments. It supports structured and unstructured data, including databases, files, and documents, and integrates with enterprise data pipelines for automated and scalable execution. Synthetic data generation capabilities are also available to complement masking in scenarios where fully artificial datasets are required. Key capabilities include: • Automated discovery and classification of sensitive data across systems • Consistent masking at the business-entity level to preserve relationships and context • Support for masking structured and unstructured data across diverse sources • Centralized policy management with enforcement across environments • Integration with data pipelines and support for in-flight and static masking