Data Masking
Static Data Masking: Securing Non-Production Environments
Static Data Masking (SDM) is a critical component of any Test Data Management (TDM) solution. It involves creating permanently masked, obfuscated, or anonymized copies of production data to support application development, data analytics, and testing while protecting sensitive data such as PII, PHI, or NPI from unauthorized access. SDM ensures compliance with privacy regulations and minimizes risks in less secure environments.
Mage Data delivers a robust, platform-agnostic TDM solution with market-leading SDM capabilities, pre-built compliance policies, and advanced functionality for protecting and managing sensitive data.
With a detailed lineage graph, organizations can track the movement of sensitive data, monitor transformations and dependencies, and prevent data leakages. This enables regulatory compliance, efficient audits, and stronger security controls at every stage of the data lifecycle.
Key Capabilities
Static Data Masking Overview
Automated Sensitive Data Identification
Automatically detect which fields and columns require masking, eliminating manual mapping and human error.
Context-Aware Masking
Apply masking algorithms that preserve format and context, ensuring masked data remains useful for development.
Referential Integrity Across Systems
Maintain consistent masking across multiple platforms so that primary and foreign key relationships remain intact.
Built for Compliance
Ensure that non-production environments are fully compliant with privacy regulations by removing all PII and PHI.
Statistical Consistency
Preserve the statistical properties of original data, enabling analytics and testing without exposing real data.
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