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Open Pryv.io

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Vaulty vs Open Pryv.io: What are the differences?

Developers describe Vaulty as "Avoid data breach, anonymize, encrypt, tokenize your users sensitive data without code changes". It is an open-source (Go) forward/reverse proxy that encrypt/pseudonymize/tokenize/mask/hash data between two systems talking HTTP(S). It transforms specific attributes/fields of JSON/XML/Form transparently for sender and receiver (without code changes) based on transformation rules. On the other hand, Open Pryv.io is detailed as "A free, full production, easy-to-install open-source solution for the collection and management of sensitive personal and health data". A free, ready-to-use solution for personal data and consent management It is a solid foundation on which you build your own digital health solution, so you can collect, store, share and rightfully use personal data. .

Vaulty and Open Pryv.io can be primarily classified as "Data Security Services" tools.

Some of the features offered by Vaulty are:

  • Prevent developers from accessing sensitive customer data
  • Reduce compliance scope (e.g., PCI DSS)
  • Isolate handling of sensitive data to just Vaulty

On the other hand, Open Pryv.io provides the following key features:

  • Provides latest Pryv.io core system ready for production
  • User registration and authentication
  • Granular consent-based access control rights

Open Pryv.io is an open source tool with 32 GitHub stars and 12 GitHub forks. Here's a link to Open Pryv.io's open source repository on GitHub.

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What is Open Pryv.io?

A free, ready-to-use solution for personal data and consent management. It is a solid foundation on which you build your own digital health solution, so you can collect, store, share and rightfully use personal data.

What is Vaulty?

It is an open-source (Go) forward/reverse proxy that encrypt/pseudonymize/tokenize/mask/hash data between two systems talking HTTP(S). It transforms specific attributes/fields of JSON/XML/Form transparently for sender and receiver (without code changes) based on transformation rules.

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