Introduction
Learn about Synthetic Data.
Synthetic Data is created using advanced Generative Adversarial Networks (GANs) model. It mimics the properties of real data, such as data types, ranges, correlations, and distributions. It does not contain any actual personal information.
Learn about Synthetic Data.
Summary of the Protegrity Synthetic Data architecture, including its components, communication flow, access methods, and hosting options.
It provides installation of Protegrity Synthetic Data using Docker and Containers.
The REST endpoints and methods for generating Synthetic Data.
Use the APIs to build and configure a Protegrity Synthetic Data request.
Sample Synthetic Data jobs that you can use for working with and testing Protegrity Synthetic Data.
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