Run confidential AI workloads without exposing sensitive data to third parties
A unified interface to run your own AI, use models from the marketplace, or make your AI available to others without exposing data or logic
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Super Protocol is an open-source foundation and a neutral execution layer for AI workloads operating across organizational boundaries
Super Protocol ensures that sensitive data and AI models remain fully protected throughout computation. No third party can access or tamper with them.
Hardware isolation ensures that data remains protected even during execution — no one outside the enclave can access it.
Encrypted user sessions mean that interactions with models are sealed by session keys; data may be stored but is accessible only to the user.
Collaborative compute allows multiple parties to work on shared data or models without ever exposing raw information.
Usage scenarios that outline how organizations can build, run, and share AI securely across teams, partners, and infrastructure
Super Protocol lets cloud providers turn their existing infrastructure into a verifiable confidential cloud, enabling enterprises to run sensitive and collaborative AI workloads with hardware-level guarantees, without building or operating proprietary trusted-execution systems.
Super Protocol enables confidential AI training where models learn from sensitive datasets without the data ever leaving its owner. Both sides stay protected through hardware-backed isolation and verifiable proofs.
Deploy AI models directly into an enterprise environment with full confidentiality for both workloads and user data. Super ensures that no operator, cloud provider, or vendor can access the model or the inputs.
Real-world implementations of Super Protocol across industries.
See how enterprises run and share AI across trust boundaries with verifiable guarantees
