Skip to main content
swoosh_right_blue

Confidential Computing

Secure collaboration across datasets and organisations

Partisia Confidential Computing is able to do computation on encrypted data without ever breaching the regulations or privacy of the information. The platform enables organisations to compute on protected data, making it possible for any enterprise to use all of the data with full confidence and without compromise.

confidential computing

Let's talk about Confidential Computing

Full video 2:39 mins.

Imagine being able to do computations on all the world's data, while still protecting the privacy of the information. Data stays encrypted at rest, in transit and with confidential computing, even in use, to comply with the strictest regulations and to enable collaboration without compromise.

Most private and public organisations today operate on data that should or are required to stay confidential. At Partisia we provide the Partisia Confidential Computing platform, which can guarantee that all computations on any confidential data are kept highly secure, auditable and most importantly confidential and still be able to provide output, which can be used anywhere in the world.

The platform enables confidential data collaboration among organisations without compromise.

Partisia Confidential Computing platform provides an easy programmable solution to doing computation on encrypted data. Confidential Computing facilitates large private and public data providers to collaborate around activating confidential data using a combination of MPC and Federated or local computations.

The UI provides an easy way to connect to external data sources and Business Intelligence (BI) tools. The blockchain based orchestration ensures a transparent and trustworthy collaboration between the data providers and other users of the system.

swhoosh_light-1
This image is missing an alt tag

Characteristics

All data can be computed on directly in encrypted form
Full auditability of all use, making regulatory compliance seamless
Computations are defined by using either Rust, Java or bespoke frontends
Integrations with most data sources and BI tools
Authentication and authorization integrations
Deployable both on-premise and in cloud

Case studies

Virtual Public Register

The Virtual Public Register (VPR) Platform represents a system that facilitates confidential computing and collaboration across public registers i.e. a system that virtually combines and uses public registers. 

The VPR Platform has been matured for commercial use through a series of R&D projects funded by the Danish Industry Foundation and Innovation Fund Denmark. These projects focus on healthcare and are used within a “sandbox” environment where the Danish Health Data Organisation (SDS) and Statistics Denmark (DST) operate and control the VPR Platform (they are the Computing Parties running the MPC protocols). The MPC protocol ensures that neither of the public registers can access the encrypted data. The user interface allows third party analysts to select data sets, variables and computations across the merged data sets. If the SDS and SDT approve the analysis, the third-party analyst receives the results.

The OSCAR Project aims at building a commercial platform around the VPR Platform and where a number of template healthcare analyses are readily available for third-party analysts. The potential is a real-time access to run analysis on highly sensitive data that is very time consuming and expensive to apply today.

Virtual public register and Partisia
usecase_finance

Financial Fraud Detection

Financial fraud is an increasing problem that globally costs trillions for dollars and fuels organized crime from drug dealing to human trafficking. The fraudsters become more and more advanced and money moves around in patterns that become harder and harder to distinguish from normal behaviour. 

Fortunately, most financial fraud passes through banks and other financial institutions, which leave digital traces originating from single transactions between a sender and a receiver. Most fraud detection today is conducted within a single bank with too little information to recognise fraud. Information has to be shared across not just the sender and the receiver but the large number of banks involved in the chain of transactions used to disguise fraud. 

This is, however, where Confidential Computing can play an important role. Done the right way, the Partisia Platform and MPC allows the use of confidential data across banks, regulators and jurisdictions without violating either regulation that ensures competition and the individuals’ right to privacy. This has been recognised by regulators and recently, FCA (the financial regulator in England) hosted an event where Partisia developed a PoC solution in close collaboration with Goldman Sachs, Deloitte, Partisia, Sedicii and Ex Ante Advisory.

swhoosh_light-1
partisia_mark-medum-bundgaard

"Confidential data collaboration among organisations hold a tremendous potential

Enabling independent organisations to work privacy-preserving on joint data without regulatory or antitrust challenges is a game changer.

Mark Medum Bundgaard

Chief Product Officer, Partner

Documentation

How to deploy?

swoosh_right_darkblue

Why work with Partisia?

Partisia was founded in 2008 by global pioneers within Multi-Party Computation and advanced cryptography. While our core mission is to integrate Privacy Enhancing Technologies with the aim of improving decision-making and product development, we also pride ourselves on being one of the best in the industry.

We are an innovative software company and a trusted partner empowering companies to operate and compute encrypted data. Providing a platform where data from individuals, governments and private companies are able to stay encrypted and protected, and still fully enabled, creating the perfect balance between transparency and privacy. Choose Partisia and get a partner based on expertise and knowhow, but most importantly trust.

This image is missing an alt tag

Frequently Asked Questions

Basic knowledge about confidential computing

How does Partisia ensure the privacy of data during computation?

Partisia employs Multi-Party Computation (MPC) protocols, allowing computations to be performed on encrypted data without exposing the underlying information. This ensures that data remains confidential throughout the process.

Can Partisia's platform integrate with our existing security infrastructure?

Yes, the platform supports integration with various authentication and authorization systems, enabling organizations to manage access controls effectively within their existing security frameworks.

What measures are in place to prevent unauthorized data access?

The platform incorporates robust authentication and authorization mechanisms, ensuring that only authorized personnel can access and perform computations on sensitive data. Additionally, blockchain-based orchestration provides a transparent and auditable trail of all data interactions.

How does the platform handle regulatory compliance?

The Partisia Platform is designed with compliance in mind, offering full auditability of data usage and integrating anonymization techniques like k-anonymity. This facilitates adherence to stringent data protection regulations and privacy laws.

Is it possible to deploy the platform on-premises?

Yes, the platform offers flexible deployment options, including on-premises installations and cloud-based solutions, allowing organizations to choose the setup that best aligns with their security policies and operational requirements.