A unified framework for privacy-preserving data analysis and machine learning

Home of OpenVMM and OpenHCL.

Enarx: Confidential Computing with WebAssembly

A Framework for Encrypted Machine Learning in TensorFlow

Apache Teaclave (incubating) SGX SDK helps developers to write Intel SGX applications in the Rust programming language, and also known as Rust SGX SDK.

Constellation is the first Confidential Kubernetes. Constellation shields entire Kubernetes clusters from the (cloud) infrastructure using confidential computing.

Versatile framework for multi-party computation

Apache Teaclave (incubating) is an open source universal secure computing platform, making computation on privacy-sensitive data safe and simple.

A novel container runtime, aka confidential container, for cloud-native confidential computing and enclave runtime ecosystem.

EGo is an open-source SDK that enables you to develop your own confidential apps in the Go programming language.

Confidential AI deployment with secure enclaves 🔒

MPyC: Multiparty Computation in Python

A curated list of open-source projects that help exploit Intel SGX technology

Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies.

MarbleRun is the control plane for confidential computing. Deploy, scale, and verify your confidential microservices on vanilla Kubernetes. 100% Go, 100% cloud native, 100% confidential.

Teaclave TrustZone SDK enables safe, functional, and ergonomic development of trustlets.

Main repository for the Veracruz privacy-preserving compute project, an adopted project of the Confidential Compute Consortium (CCC).

EdgelessDB is a MySQL-compatible database for confidential computing. It runs entirely inside a secure enclave and comes with advanced features for collaboration, recovery, and access control.

Regorus - A fast, lightweight Rego (OPA policy language) interpreter written in Rust.

Open source toolkit created to enable easy adoption of software enclaves