How DTS Transforms MyData into Secure Synthetic Data: Methods and Benefits (01/25)

 In the era of advanced AI technologies, the secure utilization of customer data is paramount. security and personal data protection of AI models handling sensitive information have become even more prominent issues. Among the cutting-edge tools available, Data Transformation Service (DTS) plays a crucial role in ensuring the safety and effectiveness of this process.

In this post, we’ll explore How to securely transform customer data into synthetic data and leverage its usability.

MyData & DTS

Data Transformation Service utilizes advanced algorithms to securely transform customer data without directly accessing customer data. It retains essential characteristics while removing sensitive details, allowing AI models to learn from meaningful information while preventing the exposure of personal data. Consequently, it can be utilized to generate synthetic data with a distribution similar to that of user data.

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Potential of Synthetic Data Generated through DTS

Synthetic Data generated from Data Transformation Service are actively applied across various industries. In the financial sector, it securely conceals sensitive information such as financial transaction records to train models, contributing to the utilization in fraud detection and predictive analysis. In the healthcare field, it protects patient data while facilitating the training of medical models. 

If you’re interested in CUBIG’s synthetic data, please refer to the following post for more information.

CUBIG : Safetly Leading Data Innovation with Differential Privacy