AI that you can trust.
Provision a cryptographically isolated environment on NVIDIA H100 hardware.
The enclave has been terminated. Zero data was written to disk.
Leading Open-Source AI Models
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"Our client is asking for features that would require us to..."
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Model response
"Prioritize security and explain the risks professionally..."
Your data is accessible by the service provider. Learn more
See how GuardCloud's confidential computing protects your data at every layer.
Interact freely with AI, knowing that no one in the world except you can see your conversations.
Give customers the confidence to fully embrace your AI products by guaranteeing data privacy.
Enforce security, data sovereignty, and compliance at scale with a zero-trust approach.
Schedule a demo to see how GuardCloud can secure your AI use cases.
GuardCloud runs AI models inside secure hardware enclaves.
| Feature | OpenAI | On-Prem | GuardCloud |
|---|---|---|---|
| Zero Data Retention | ✗ | ✓ | ✓ |
| Cloud Convenience | ✓ | ✗ | ✓ |
| Setup Costs | Low | High | Low |
| Complexity | Low | High | Low |
| Scalability | Good | Poor | Good |
| Zero Trust | ✗ | ✗ | ✓ |
| Private Observability | ✗ | ✗ | ✓ |
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Don't see your question? Email us at omarjarkas@guardcloud.ai
GuardCloud uses secure hardware enclaves (TEEs) to process your data. This means your data is encrypted and isolated at the hardware level, making it inaccessible even to GuardCloud's own infrastructure.
End-to-end privacy means your data is encrypted from the moment it leaves your device until it returns. No one, including GuardCloud, can access your unencrypted data at any point.
Currently, GuardCloud works with open-source models that can run within secure enclaves. Closed-source models require the provider's cooperation to implement similar privacy guarantees.
Yes! GuardCloud provides an OpenAI-compatible API, making integration straightforward. You can typically switch to GuardCloud by changing just a few lines of code.
The performance overhead is minimal. Secure enclaves are designed for high-performance computing, and most users don't notice any significant difference in response times.