Cocos AI is an open-source system designed for running confidential workloads. It features a Confidential VM (CVM) manager, an in-enclave Agent, and a Command Line Interface (CLI) for secure communication with the enclave.
Cocos AI implements and enables Remote Attestation procedures, ensuring the integrity and security of the execution environment. The platform also includes an open-source, Linux-based Hardware Abstraction Layer (HAL) and supports runtime environments within Trusted Execution Environments (TEEs) for Python, Docker, and WebAssembly (Wasm) workloads.
With Cocos AI, organizations and developers can efficiently manage confidential workloads within secure enclaves, facilitating secure multi-party computation (SMPC) and ensuring the privacy of sensitive data. The platform provides a comprehensive set of tools, libraries, and software components to enable seamless and secure data exchange, promoting privacy-preserving collaborative AI initiatives.
By leveraging Cocos AI, organizations can confidently collaborate, innovate, and harness the potential of AI within a confidential and protected environment. Experience secure data sharing and robust confidentiality with Cocos AI.
Cocos AI excels in secure VM provisioning, management, and monitoring, ensuring the confidentiality and integrity of virtualized environments. Seamlessly deploy and maintain secure Virtual Machines for your workloads.
Cocos AI integrates a comprehensive Hardware Abstraction Layer (HAL) and runtime environment inside secure enclaves. This enables the execution of workloads with a focus on security and confidentiality.
Cocos AI includes an In-Enclave Agent, serving as an execution scheduler and coordinator within secure enclaves. This agent enhances the efficiency and security of your workloads.
Cocos AI ensures end-to-end encryption for traffic, safeguarding the confidentiality and integrity of data transmissions. Collaborate on AI projects with the assurance that your data remains secure.
Cocos AI implements a robust remote attestation mechanism, verifying the integrity of remote systems. This ensures that your workloads run in trusted environments, even in untrusted or remote settings.
Cocos AI supports a variety of runtime environments for executing confidential workloads within enclaves. This includes Python for flexible scripting and data manipulation, Docker for containerized applications ensuring isolation and consistency, and WebAssembly (Wasm) for running lightweight and secure code in a portable format.
Cocos AI provides a comprehensive Software Development Kit (SDK) and Command-Line Interface (CLI), simplifying development and management tasks. Accelerate your workflows and interactions with the platform.
Cocos AI boasts a small memory footprint and lightning-fast execution, ensuring optimal performance. Execute your workloads efficiently without compromising on speed.
Cocos AI adopts a domain-driven design architecture, resulting in high-quality code and comprehensive test coverage. Rely on a platform built with meticulous care and dedication to open-source excellence.
Cocos AI is open source, published under the Apache 2.0 license, enabling transparency, rapid bug fixing, customization, and collaboration. It fosters heightened security and innovation within a thriving developer community.
Explore Cocos AI:
Visit Cocos AI GitHubCocos AI, the pinnacle of secure collaborative AI, boasts an intricately designed architecture tailored to meet the complex demands of confidential computing and collaborative artificial intelligence. This architecture empowers developers and organizations with a robust foundation for secure, scalable, and innovative AI applications.
1. TEE Manager: The Trusted Execution Environment (TEE) Manager is a critical microservice running on host hardware equipped with TEE hardware. Its role is to dynamically deploy and configure TEEs required for confidential multi-party computations. Once a computation is deployed within a newly-created TEE, the Manager actively monitors its execution and health. After the computation is complete and the result is extracted from the enclave, the Manager ensures the secure destruction of the TEE and nullifies all associated data, maintaining confidentiality.
2. In-Enclave Agent: The In-enclave Agent is an open-source, lightweight component running within the enclave. It serves as a coordinator for algorithm execution, establishing TLS-encrypted channels over which clients (Data Providers and Algorithm Providers) can securely upload AI algorithms and datasets. Additionally, the In-enclave Agent provides remote attestation for the TEE, ensuring the integrity of the execution environment.
3. HAL (Hardware Abstraction Layer): The Hardware Abstraction Layer (HAL) in Cocos AI provides a unified interface for interacting with various hardware architectures, including AMD SEV and Intel TDX. It abstracts the hardware-specific details to ensure seamless integration and operation of confidential computing tasks across different hardware platforms. This layer facilitates consistent and efficient management of hardware resources for secure computations.
4. CLI (Command Line Interface): The Command Line Interface (CLI) provides a text-based interface for interacting with the Cocos AI system. It allows users to configure, manage, and monitor confidential computations and TEEs through command-line commands. The CLI offers powerful scripting capabilities and detailed control over system operations, making it an essential tool for advanced users and administrators.
TEE Manager is a pivotal component within the Cocos AI architecture, dedicated to enabling dynamic deployment and configuration of Trusted Execution Environments (TEEs) required for confidential multi-party computations.
When a computation is initiated, TEE Manager orchestrates the creation of secure TEEs, equipping them with the necessary hardware and runtime support. It continually monitors the execution and health of each enclave, ensuring that computations run securely and efficiently.
Once a computation is completed and its result is securely extracted from the enclave, TEE Manager is responsible for the timely destruction of the used TEEs and the erasure of all related data, preserving confidentiality and data integrity.
In-enclave Agent is a lightweight, open-source component at the heart of Cocos AI. Operating within secure enclaves, this agent plays a crucial role in coordinating the execution of algorithms and ensuring the secure exchange of data.
The In-enclave Agent establishes TLS-encrypted channels, allowing clients such as Data Providers and Algorithm Providers to securely upload AI algorithms and datasets. It also facilitates remote attestation for Trusted Execution Environments (TEEs), ensuring the integrity and authenticity of the execution environment.
With its capabilities, the In-enclave Agent contributes to the platform's robust security and efficient execution of AI computations, making it a key component for ensuring confidentiality and data protection.
Remote Attestation is a critical component of Confidential Computing, leveraging Trusted Execution Environments (TEEs) to ensure the integrity and security of remote systems and applications. It allows you to establish trust and verify the authenticity of your computing environment, even in untrusted or remote settings.
With TEEs, remote attestation guarantees that your data and workloads run within secure enclaves, isolated from potential threats. This process involves verifying the identity of a remote system, ensuring it is running trusted and unaltered software, and encrypting data transmissions for secure communication.
By using Remote Attestation in Confidential Computing, you can confidently collaborate and process data across untrusted networks while maintaining the highest level of security and privacy.
Cocos AI offers a powerful Command Line Interface (CLI) and Software Development Kit (SDK) to streamline the development, deployment, and management of confidential workloads. These tools are designed to provide developers with the flexibility and control needed to efficiently interact with the Prism AI platform.
The CLI allows for intuitive and scriptable management of secure enclaves, confidential VMs, and other key components. It enables automation of routine tasks, making it easier to integrate Prism AI into existing workflows and CI/CD pipelines.
The SDK provides a comprehensive set of APIs and libraries, facilitating seamless integration of Cocos AI's capabilities into your applications. Whether you're building new solutions or enhancing existing ones, the SDK offers the tools you need to leverage the full power of confidential computing.
With Cocos AI's CLI and SDK, developers can enhance their productivity, ensure security, and drive innovation in the realm of confidential computing.
