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

Versatile framework for multi-party computation

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

A Framework for Encrypted Machine Learning in TensorFlow

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

Enarx: Confidential Computing with WebAssembly

Attestation and Secret Delivery Components

Home of OpenVMM and OpenHCL.

MPyC: Multiparty Computation in Python

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

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

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

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

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

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

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

Confidential AI deployment with secure enclaves 🔒

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.

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

Enarx.dev website and relevant assets