Trusted by 75% of Corvex customers to protect their most sensitive workloads.
The ability to use data securely for AI is a huge business advantage. Confidential computing from Corvex mitigates security risks and lowers regulatory hurdles, clearing a path for faster innovation, cleaner compliance, and smoother sales cycles.
Enter healthcare, finance, and government sectors with a platform built for compliance. Accelerate security reviews with verifiable, auditable proof of data protection and, optionally, single-tenant VPCs, in a HIPAA and SOC2-certified cloud.
Confidential computing lets you deploy proprietary AI models and data in the cloud with the confidence that they are shielded from the operating system, hypervisor, and cloud provider access.
With confidential computing, securely combine datasets among partners without exposing data to each other or to other unauthorized users. AI leaders in finance and healthcare can train more powerful models and gain groundbreaking insights without incurring security risk.
Confidential computing from Corvex makes it easy to protect sensitive data in AI computing environments. By isolating data in use, it guarantees integrity, ensures security, and simplifies regulatory compliance
with push-button ease.
Protect your generative AI models and sensitive workloads with Corvex Confidential's Trusted Execution Environments.
Confidential computing protects your AI data while it's being processed, using hardware-based security to keep model weights and sensitive information private. Our platform uses Trusted Execution Environments (TEEs)—secure, isolated areas of a GPU—to ensure your code and data are protected and verifiable during execution.
This security is built on four key principles:
Users with sensitive datasets and in regulated industries like banking, healthcare, and government are among the first to leverage confidential computing. Confidential computing protects proprietary information and intellectual property, making it a valuable tool for model builders as well as companies in any industry who want to securely leverage AI cloud computing.
Healthcare & Biotech
Train and inference HIPAA-restricted AI models without building an on-premise cluster. Significantly expedite IT security approvals.
Model Builders / SaaS / ISVs
Ship your AI model as an encrypted artifact. Authorized customers run it, no one can copy it nor access model weights.
Finance
Collaborate on fraud models across banks, with keys held by each institution. Zero data residency conflicts.
Government
Protect sensitive data with nation state-level physical and information security. Securely accelerate innovation and data collaboration.
Unlocking Healthcare AI: Solving IT Security Challenges via System Architecture
Unlock the full potential of AI in healthcare by solving the challenge of using PHI securely via system architecture.
Unlocking Healthcare AI: Solving IT Security Challenges via System 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?
Confidential Computing: How to Shield Your IP in Shared Clusters
Learn how confidential computing, TEEs, remote attestation, and memory encryption protect your IP on shared H200 and B200 GPU clusters. Find out how to choose secure AI cloud rentals for sensitive data and models.
Confidential Computing: How to Shield Your IP in Shared Clusters
Learn how confidential computing, TEEs, remote attestation, and memory encryption protect your IP on shared H200 and B200 GPU clusters. Find out how to choose secure AI cloud rentals for sensitive data and models.
Yes, though GPU AES engines keep throughput within approximately 5-8% of plaintext, 11× faster than CPU-based enclaves. 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.
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).
Protect your generative AI models and sensitive workloads with Corvex Confidential's trusted execution environments.