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Spirion Partners With Tonic to Introduce Differential Privacy to Its Data Discovery Software
Spirion’s recent integration with synthetic data provider Tonic marks an important evolutionary step in the data privacy space. The synergistic partnership enables a feature set that organizations can take advantage of to replace the personally identifiable information (PII) they collect and store with high-quality synthetic data.
This seemingly complex process can be simplified as such: with the software integration, users can identify personal data and apply the right to be forgotten. Following this, data is de-identified so to protect the data’s integrity without significantly impacting the normal flow of daily business operations.
The main objective of Spirion’s partnership with Tonic is to ensure users can easily meet compliance obligations of regulatory laws, such as GDPR and CCPA, by adequately protecting the identity of their data subjects as per the requirements of these laws. Users that implement Spirion’s software have the added ability to share this data or leverage it from an analytics perspective in a way that maintains the integrity of the data throughout the process, one of the key benefits of differential privacy.
A tradeoff often exists between maintaining appropriate controls around data privacy, being able to effectively use this same data for the purposes of analysis, and improving the set of services or products based on the needs of the customer demographic. Spirion’s application of differential privacy within its solution set provides organizations with the tools they require to assess personal data without risking infringing upon, or breaching, privacy rights of the data subjects. While this does not give companies a “Get Out of Jail Free” card, it does provide an extra layer of security for those bound by stringent privacy law. Organizations seeking to walk a tightrope balance between data privacy and data analytics may find Spirion and Tonic’s solution offers a solid support to lean on throughout the process.
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