# Privacy-Preserving Synthetic Data

> Source: https://sukruyusufkaya.com/en/glossary/gizlilik-korumali-sentetik-veri
> Updated: 2026-05-13T21:13:53.245Z
> Type: glossary
> Category: veri-bilimi-ve-veri-yonetimi
**TLDR:** A synthetic data generation approach designed to create analytical value without exposing real individuals.

<p>Privacy-preserving synthetic data is a specialized approach that tries to balance analytical value with privacy protection. The goal is to generate data that is abstract enough to avoid re-identifying real individuals while still being useful for modeling. This becomes especially important in healthcare, finance, and public-sector data. However, being synthetic does not automatically mean being safe; risks such as membership inference and near-copy leakage must also be tested. For that reason, privacy-preserving synthetic data must be validated both in terms of generation quality and attack resistance.</p>