In this blog article we present the most important Privacy-Enhancing Techniques (PETs) that are currently being developed and used by various tech actors. We briefly explain their principles and discuss their potential complementarities with Substra Framework. The aim of this article is to present potential Substra Framework development and possible integration with other technologies.

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The massive collection of personal data represents a new risk to privacy, and citizens-consumers are asking their representatives and their companies for higher security standards. Whereas personal data has been historically protected through anonymization, this technique often appears inefficient when artificial intelligence models are trained on personal data. New securing frameworks must be developed that can rely either on data centralization in a single vault or decentralization in multiple data warehouses.

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