Sharing data while respecting privacy principles and building mutual trust

The data generated by individuals and organizations have great value beyond money-making. By sharing and harnessing these data responsibly, we can use them for the benefit of society, for example to predict disease or combat fraud.

On this topic, GMV data scientist Pablo Gonzalez took part in the Valladolid AI event with a presentation on how GMV’s uTile PET solution can fully unlock the power of data without compromising user privacy.

Valladolid AI is a member of the Spain AI community, a national network and non-profit association working to create a collaborative community in the field of artificial intelligence in Spain.

The uTile PET solution allows users to securely and privately perform computations on distributed data, while respecting privacy principles and building mutual trust between stakeholders. In addition, the strategies and techniques offered by privacy-enhancing technologies (PETs) include federated learning architectures, which allow machine learning systems to be developed without the need to disclose personal data among those involved. These techniques can be both horizontal and vertical, and are key in new scenarios such as data spaces.

With uTile, there is no need to choose between data privacy and usability, as it leverages advanced cryptographic methods that keep data encrypted while performing all necessary computations. In this way, we ensure that organizations’ sensitive data are never exposed or transferred across departments, organizations, or countries. What’s more, even data owners themselves do not have to entrust their personal data to third parties. These remain protected behind the organizations’ internal controls, whether on-premise or in the cloud, and sensitive information stays private while the computations are performed.

For example, as part of the TARTAGLIA project, GMV is using uTile to train AI algorithms to securely extract evidence from patient data.

The TARTAGLIA project is being carried out under the R&D Missions in Artificial Intelligence program, which is part of the Digital Spain 2025 agenda and the National Artificial Intelligence Strategy.