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Multi-party computation (MPC)
Historically, data protection methods like secure MPC relied heavily on cryptography, leading to performance overhead. But with confidential computing, this has changed. With Edgeless Systems software, building MPC apps with always-encrypted data has never been easier.
Multi-party computation (MPC) is a cryptographic process allowing multiple parties to jointly compute an output from their private inputs, while ensuring privacy among participants. This has various industry applications. For instance, financial institutions can use MPC for privacy-preserving joint analytics on customer data to improve risk assessment, fraud detection, and money laundering investigations.
Historically, secure MPC has been implemented using complex cryptographic means. This made secure MPC difficult and resource-heavy to use. As a result, secure MPC is rarely used in practice.
Confidential-computing technology has transformed the MPC apps landscape. Confidential computing ensures always-on encryption of data even during processing. Additionally, with remote attestation, one can always verify the integrity of workloads running. In a nutshell, confidential computing can provide a high-performance "black box" that can run arbitrary MPC code.
Edgeless Systems software makes it easy to create such black boxes and bring them to production.
Hope for Justice, a global non-profit organization which aims to bring an end to modern slavery, wanted to build an MPC app to share intelligence with other anti-trafficking agencies, without ever risking to share the extremely sensitive info of the victims. By leveraging the expertise and software of Edgeless Systems, and Intel SGX hardware, Hope for Justice got their Private Data Exchange platform ready for testing in just a few weeks.
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