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Training Camp • Cybersecurity Glossary
Synthetic data is artificially generated information mirroring real datasets, used to train models and test systems while reducing privacy exposure.
Synthetic Data Definition: Synthetic data is artificially generated information mirroring real datasets, used to train models and test systems while reducing privacy exposure.
Synthetic data is artificially generated information that mimics the statistical properties and structure of real-world data without containing actual records about real individuals. It is produced using techniques such as generative models, simulations, or rule-based engines, and is widely used to train machine learning systems, test software, and share datasets while reducing privacy risk. Because well-generated synthetic data avoids exposing personal information, it can support compliance with regulations like GDPR, though poorly generated sets may still leak sensitive patterns.
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