uTile
Welcome to information exchange 2.0
Welcome to information exchange 2.0
uTile PET is a solution which allows calculations to be made in a safe, private manner using distributed data, without exposing them or moving them out of the organisations.
This solution, developed by GMV, uses confidential data in order to improve machine learning algorithms and analytical models, while at all times meeting organisational requirements, guaranteeing data privacy, in accordance with current legislation.
Key Advantages
It allows the performance of calculations in a safe, private manner using distributed data, without exposing them
It uses sensitive data to improve machine learning algorithms and analytical models
It meets organisational requirements and guarantees data privacy, in addition to meeting current legislation
Technologies forming part of uTilePET
Secure Multiparty Computation: Secure multiparty computation makes use of additive secret sharing, which allows the segmentation of secret data into parts in such a way that none of the participating parties has the capability to reconstruct the original secret data
Federated Learning: Federated learning is an algorithmic solution which allows the training of ML models by sending copies of a model and carrying out the training where the data is stored
Private Set Intersection: It is used in cases of vertical partitioning. PSI is a cryptographic technique which allows the intersection to be found among various datasets without having to expose the data
Differential Privacy: This technique permits data to remain anonymous by deliberately injecting noise into the data set, so that all manner of statistical analyses of huge utility can be performed
It ensures that sensitive data is never exposed or transferred via departments, organisations or geographies.
The owners of the data do not have to entrust third parties with their data.
The data remain protected behind internal controls, whether on-premise or cloud, and any sensitive information remains private during computations.
An additional advantage of this new paradigm is that it opens the doors to cooperation between organisations from different fields, for example, public-private or inter-sector collaboration exploiting synergies.
Project financed by the Ministry of Economy
(File number: TSI-100906-2019-2)