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Products for Privacy Engineering

Ensure privacy is intrinsic to your data projects

Privitar products allow organisations to analyse datasets containing sensitive information (e.g. customer data, employee records, banking transactions, trade data) while preserving privacy or confidentiality. This opens up data for safe advanced analytics, data science and sharing, while ensuring consistent and accountable protection of private information.

Privitar offers three ways to protect sensitive data:

 
Privitar Publisher

Privitar Publisher

Privitar Publisher is a comprehensive solution for data privacy protection and governance. Privitar Publisher offers state of the art privacy engineering techniques to create de-identified data that can be used for analytics, data science and machine learning, sharing with third parties and processing in cloud environments.
Privitar Publisher allows organisations to adopt a consistent approach to data privacy and unlock the value of their sensitive data at scale.

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Privitar Lens

Privitar Lens

Privitar Lens is a platform for building privacy-preserving access to sensitive datasets. Lens protects aggregate data releases from sensitive sources using strong differential privacy techniques, and provides access to safe statistics over APIs that can be consumed by data products, dashboards, or reports.

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Privitar SecureLink

Privitar SecureLink

Privitar SecureLink is a secure data linking system that can be used by groups of organisations to overcome trust barriers and combat data siloing. It allows a central organisation to join data from many contributing organisations such that the data cannot be attributed to a specific contributor and the central organisation cannot recover identifiers.

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Essential to modern data architectures

Like security, privacy protection should be designed into data systems at every level, not bolted on as an afterthought. Privitar products add foundational privacy to your data processing architecture at every stage: ingest, data preparation, analytics, statistical modelling and reporting.

  • Integrate with and execute within your environments and scale to big data, so there is no need to take data out of its secure environment
  • Bring consistency, auditability and accountability to the protection of sensitive data, through the use of centrally managed Privacy Policies
  • Integrate with metadata stores both to identify sensitive data and to record how risks have been mitigated
  • Record full data lineage of anonymised and shared data

Testimonials

Privacy matters: One solution, on the privacy side at least, is to separate the identity of the person being measured by a sensor from the data they generate. John Taysom, a fellow of the University of Cambridge and co-founder of privacy company Privitar, believes this “disassociation” is key because companies and governments get the data without a risk to privacy.

Sean Hargrave, The Guardian

It is essential that we develop practical ways of protecting privacy, otherwise we may not be able to sustain growth in the internet based economy.

David Cleevely CBE, FREng:
Chairman Centre for Science & Policy, University of Cambridge

Privacy is a game changer; it will be to organizations in 2016 what websites were to companies in 2000. So this is the year to up the ante on your investments: you need the right cross-functional team, good governance practices, and the technical tools to ensure that all of your systems are in compliance with both laws and internal privacy guidelines. Making the right investments will let your firm drive business growth, win new customers, and build deeper customer relationships.

Forrester Research, Jan ‘16

Any questions?

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