Autonomys has partnered with Secret Network to integrate decentralized confidential computing (DeCC) into the Autonomys Network. This collaboration is designed to empower developers to create privacy-preserving AI-powered decentralized applications (dApps), or super dApps, and on-chain agents. DeCC leverages Trusted Execution Environment (TEE) technology from Secret Network to ensure all data inputs, outputs, and model states remain private while still being auditable. This allows developers to build these super dApps with improved speed, cost-efficiency, and scalability compared to traditional confidential computing networks.
Autonomys’ Auto SDK further simplifies the development process by offering integration with distributed storage, decentralized consensus mechanisms, and upcoming features like decoupled execution environments and self-sovereign identity frameworks. The partnership also supports both WASM and EVM execution environments, while exploring a direct Layer-1 connection to boost efficiency. Moreover, by linking Secret Network’s DeCC GPU infrastructure (Claive) with Autonomys’ distributed storage network (DSN), developers can train AI models on encrypted data, enabling the development of advanced privacy-preserving AI models and super dApps.
