CTGAN is part of the Synthetic Data Vault project and provides deep learning based generators for creating synthetic tabular data. It uses conditional generative adversarial networks to model the distribution of real data and produce synthetic records that preserve statistical properties. The tool is commonly used for data augmentation, testing database applications, and sharing datasets while preserving privacy.