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What is Synthetic Data Generation?
Synthetic data generation is the process of creating artificial datasets with algorithms or generative models so teams can train and test systems without exposing sensitive records.
Related Giskard articles
Stress-test generators before training
Evaluate whether synthetic generators leak secrets or skew class balance before training. See Giskard OSS v3.
Further reading
Authoritative reference: NIST Privacy Framework.
