A global consulting company needed access to real-world data to build and test client-specific analytics and machine learning models—but without risking exposure of sensitive information. Mage Data delivered a solution that created synthetic, privacy-safe datasets while preserving the original data’s structure, relationships, and statistical accuracy. This enabled the consulting team to work at speed and scale—without compromising on compliance or data quality.

#DataMasking #Anonymization #Pseudonmyziation #TrainingData #TrainingDataManagement #GenAI #GenAISecurity