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AI model protection
Prevent theft, leakage, or misuse of your AI model weights. With Continuum AI, your models stay encrypted all the time, protected from attacks through inference or service providers.
AI model owners face a diverse set of threats across many distinct attack vectors. Inference providers, or other model owners on the same platform (e.g., HuggingFace) could mistakenly or maliciously introduce and execute harmful code within the workloads to exfiltrate data.
Confirmed leak of Mistral LLM model “miqu-1-70b” by costumer employee on HuggingFace.
Confidential computing addresses data privacy and compliance by shielding data from all parties involved, even during processing. It also verifies workload integrity through remote attestation with cryptographic certificates, ensuring secure data processing even on external infrastructure.
Our solutions use confidential computing to fully protect your prompts and responses from the model owner, infrastructure, and service provider, with Continuum AI architecture ensuring security.
Confidential computing ensures data encryption throughout its entire lifecycle, even during processing. In Continuum, all workloads run inside AMD SEV-SNP based Confidential VMs (CVMs)
Attestation in Continuum is a cornerstone of the platform's security architecture, ensuring that all AI workloads are executed in a trusted environment.
To prevent the inference code from leaking user data, in Continuum data runs in a sandbox inside the confidential computing environment.
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