Confidential Computing is the protection of data in use by performing computation in a hardware-based, attested Trusted Execution Environment.
A Trusted Execution Environment (TEE) is an environment that provides a level of assurance of the following three properties: data integrity, data confidentiality, and code integrity.
TEEs may have additional attributes such as code confidentiality, programmability, recoverability, and attestability.
Confidential Computing aims to reduce the ability for the owner/operator/pwner of a platform to access data and code inside TEEs sufficiently such that this path is not an economically or logically viable attack during execution.
A unified framework for privacy-preserving data analysis and machine learning
Enarx: Confidential Computing with WebAssembly
A Framework for Encrypted Machine Learning in TensorFlow
Apache Teaclave™ SGX SDK helps developers to write Intel SGX applications in the Rust programming language, and also known as Rust SGX SDK.
Versatile framework for multi-party computation
Constellation is a Kubernetes distribution for confidential computing, securing entire clusters on untrusted infrastructure. Constellation is in maintenance mode. New development continues in Contrast, which provides workload-level confidential computing using Confidential Containers. 👉 https://github.com/edgelesssys/contrast
Apache Teaclave™ 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.
Open framework for confidential AI
A curated list of open-source projects that help exploit Intel SGX technology
MPyC: Multiparty Computation in Python
Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies.
Regorus - A fast, lightweight Rego (OPA policy language) interpreter written in Rust.
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).
Assured confidential execution (ACE) implements VM-based trusted execution environment (TEE) for embedded RISC-V systems with focus on a formally verified and auditable firmware.