The Cocos AI Solution
A distributed, microservice-based system for confidential and privacy-preserving AI/ML execution.
Secure Multi-Party Computation
Secure Multi-party Computation (SMPC) allows two or more parties to collectively perform computation and receive the resulting output without ever exposing any party’s sensitive input.
With the advances in machine learning, parties can be, for example, the owners of sensitive data on one hand and the providers of machine learning models on the other. Cocos AI ensures that sensitive data is not exposed to the model providers and vice versa, while still delivering valuable results.
Powered by Trusted Execution Environments
Cocos AI leverages Trusted Execution Environments (TEEs) like Intel SGX and AMD SEV to provide hardware-enforced isolation of in-use code and data.
Cryptographic keys used for code and data isolation are randomly generated and stored on the processors, never exposed to the hypervisor or operating system. This ensures that even the cloud provider cannot access the user's data or code.
System Architecture
A robust architecture containing multiple TEEs for code, data, and a central Security Policy Engine (SPE).
TEE Manager
Microservice running on host hardware to dynamically deploy and configure TEEs for confidential computations.
In-Enclave Agent
Lightweight component within the enclave serving as a coordinator for execution and remote attestation.
HAL
Hardware Abstraction Layer providing a unified interface for AMD SEV, Intel TDX, and other architectures.
CLI
Command Line Interface for users to configure, manage, and monitor confidential computations.
Platform Features
Comprehensive capabilities for secure AI workloads.
Secure VM Provisioning
Seamlessly deploy and maintain secure Virtual Machines.
Hardware Abstraction Layer
Unified interface for AMD SEV and Intel TDX.
End-to-End Encryption
Encrypted traffic safeguarding confidentiality and integrity.
Remote Attestation
Verify the integrity of remote systems and establish trust.
Multiple Runtimes
Support for Python, Docker, and WebAssembly workloads.
SDK and CLI
Comprehensive tools to streamline development.
Ready to get started?
Explore the documentation or check out the code on GitHub.