Linksight enables analysts to carry out data analyses on privacy-sensitive datasets, without the underlying data being shared or viewed. The data always remains exclusively at the source.
For this purpose, Linksight uses Multi-Party Computation (MPC) for computing encrypted data and blockchain technology for decentralised governance. Linksight is building on TNO encryption technology, which has been developed in collaboration with market players and is now mature enough to be deployed in practice.
This way of working can solve various data-sharing problems, such as:
From a legal point of view, use of the Linksight platform represents a very strong implementation of the GDPR.
Many companies and government bodies want to be ‘data-driven’. This means that they want to make decisions based on facts that come from data. To do this, they frequently need sensitive data from other parties in the chain. These could be personal data or competition-sensitive data. At the same time, there is increasing awareness and enforcement of privacy rules (e.g. GDPR) and data breaches represent a growing risk. This often causes conflict in practice, so that many organisations are unable to obtain the insights that they seek in order to operate in a genuinely data-driven fashion. The time is therefore ripe for a new way of sharing data, solely in order to gain insight and not to obtain the underlying data.
Examples of sectors where this data-sharing problem is a hindrance:
In all these examples, there are great advantages in being able to obtain the results of an analysis with the help of the Linksight platform, without also obtaining or having to share the underlying data.