Verifiable security for your most sensitive AI workloads





















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Corvex Secure Model Weights delivers hardware-enforced, cryptographically verifiable protection for AI inference on third-party infrastructure, so you never have to trust the operator. The math and the hardware speak for themselves.
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Your encryption keys never leave your control. The host provisions compute; it never sees your weights.
Trusted Execution Environments ensure your valuable IP is safe from security vulnerabilities in your AI cloud provider’s stack.
Enhance security for models fine-tuned on healthcare, financial, or defense data. Deploy on-premise or off-premise.
From encryption to inference — your model weights never leave hardware-enforced protection.
Before any deployment, you encrypt your model weights using ML-KEM post-quantum key encapsulation; protection designed to be secure against both today's threats and tomorrow's; and define your own attestation policy.
Specifying exactly which hardware configurations and software stacks are permitted to receive a decryption key. The key never leaves your custody.



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Before a key is released, the infrastructure must prove itself. Intel TDX produces a hardware attestation report for each node. NVIDIA GPU Confidential Computing produces a separate attestation of GPU firmware and memory state. A compromised or misconfigured host fails verification and never receives keys.
Once attestation passes your policy, the Corvex key broker releases your key via post-quantum encrypted network pathway — delivered directly into the hardware-protected GPU memory region. It is never present in system RAM, never accessible to the host kernel or hypervisor, and never seen by the infrastructure operator.
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Model weights are decrypted exclusively inside the GPU's Compute Protected Region. At no point do they exist in cleartext outside hardware-protected memory. On Blackwell multi-GPU clusters, NVLink traffic is encrypted inline — the protection holds at any scale.
Your model serves production traffic on GPU clusters — with near-native performance at 70B+ scale. The infrastructure operator manages compute, uptime, and performance. They never possess your keys, never see your weights, and cannot access them even under legal compulsion.
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Businesses rely on confidential computing from Corvex to protect proprietary information and intellectual property.
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Train and run inference on HIPAA-restricted AI models without on-premise clusters; accelerate IT security approvals.
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Ship AI models as encrypted artifacts; authorized customers run them; no one can copy weights.
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Collaborate on fraud models across institutions with keys held by each party; zero data residency conflicts.
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Protect sensitive data with nation-state-level security; accelerate innovation and data collaboration.
Confidential computing protects your AI workloads using hardware-based security to keep sensitive information private. We leverage Trusted Execution Environments (TEEs) — secure, isolated areas of a GPU — to ensure your code and data are protected and verifiable during execution.

Unlocking Healthcare AI: Solve IT Security with Architecture
Unlock the full potential of AI in healthcare by solving the challenge of using PHI securely via system architecture.

Unlocking Healthcare AI: Solve IT Security with Architecture
Unlock the full potential of AI in healthcare by solving the challenge of using PHI securely via system architecture.
Confidential Computing has Become the Backbone of Secure AI
The concept of confidential computing is becoming increasingly important. What does that mean, and why does it matter?
Confidential Computing has Become the Backbone of Secure AI
The concept of confidential computing is becoming increasingly important. What does that mean, and why does it matter?
Yes, though GPU AES engines keep throughput within approximately 5-8% of plaintext. Individual results may vary.
All Corvex nodes use NVIDIA H200 and B200 GPUs with built-in confidential computing.
Download the attestation quote via API before deploying workloads. Share with auditors to prove zero tampering.
Yes. Corvex can help configure machines so admins have no access.
A TEE is a secure, isolated area within a processor (like a GPU or CPU). Code and data inside the TEE are invisible to the rest of the system, including the cloud provider. Corvex uses hardware-level TEEs on our GPUs to ensure your AI workload is completely private while it's running.
Remote attestation is a cryptographic process that proves two things: 1) Your workload is running inside a genuine TEE on a secure Corvex machine, and 2) The environment has not been tampered with. This provides a verifiable, auditable receipt of security, forming the basis of a zero-trust architecture.
No. Your data is encrypted at rest, in transit, and while in use. The hardware-based isolation of the TEE makes it technically impossible for anyone outside the secure environment to access the data or the model weights being processed, and that includes our own administrators. This is verifiably enforced by the hardware.
Yes. Corvex Confidential provides the core technical controls required to help you build solutions that comply with HIPAA and other compliance mandates. By ensuring data is protected in use, it helps you meet your regulatory obligations for processing sensitive information like Protected Health Information (PHI).
Yes - Corvex Confidential is available as downloadable software that you can install in your own cloud or on premises.
Protect your generative AI models and sensitive workloads with
Corvex Confidential's Trusted Execution Environments