Security News > 2020 > April > GDPR, CCPA and beyond: How synthetic data can reduce the scope of stringent regulations

Synthetic data is helping highly regulated companies safely use customer data to increase efficiencies or reduce operational costs, without falling under scope of stringent regulations.

The GDPR does not expressly reference synthetic data, but it expressly says that it does not apply to anonymous information: according to UCL, "Information which does not relate to an identified or identifiable natural person or to personal data rendered anonymous in such a manner that the data subject is not or no longer identifiable." Synthetic data is considered personal data which has been rendered anonymous and therefore falls outside the material scope of the GDPR. Essentially, these important global regulatory mandates do not apply to collection, storage and use of synthesized data.

With data being the key to actualizing machine learning and artificial intelligence engines, companies can also utilize synthetic data to gain valuable insights into their algorithm data and design new products, reduce operational costs, and analyze new business endeavors while keeping customer privacy intact.

With the GDPR and the CCPA now in full effect and more industry and region-specific data regulations on the horizon, organizations of all sizes that want to reduce the burden of compliance will look to use synthetic data technology to manage their privacy and data security-related legal obligations.

Synthetic data helps organizations in highly regulated industries put customer data security and privacy first and keep their data operations frictionless and optimized while minimizing the scope of compliance.

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