Privitar Reviews and Pricing 2024

Audience

Data governance software for organizations wanting to harness the power of data to innovate faster

About Privitar

The Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. Privitar is making sensitive data highly accessible through the application of privacy enhancing technologies, so organizations like yours can optimize business and customer outcomes. Countdown to launch with us and learn why only Privitar has the right combination of technology and expertise to create a safe and modern data provisioning ecosystem. Early access gets you a front row seat as we embark on the path of empowering organizations to use all of their data safely! For your business, we enable rapid, self-service access to safe data to drive new revenue opportunities, all while seamlessly integrating within your existing infrastructure to reduce cost and speed time to value.

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Rixon

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Roseman Labs

Roseman Labs enables you to encrypt, link, and analyze multiple data sets while safeguarding the privacy and commercial sensitivity of the actual data. This allows you to combine data sets from several parties, analyze them, and get the insights you need to optimize your processes. Tap into the unused potential of your data. With Roseman Labs, you have the power of cryptography at your fingertips through the simplicity of Python. Encrypting sensitive data allows you to analyze it while safeguarding privacy, protecting commercial sensitivity, and adhering to GDPR regulations. Generate insights from personal or commercially sensitive information, with enhanced GDPR compliance. Ensure data privacy with state-of-the-art encryption. Roseman Labs allows you to link data sets from several parties. By analyzing the combined data, you'll be able to discover which records appear in several data sets, allowing for new patterns to emerge.

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Integrations

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Ratings/Reviews

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ease 0.0 / 5

features 0.0 / 5

design 0.0 / 5

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