Sovereign Confidential Computing
Problem
Confidential workloads (medical AI, finance, defense) require attestable and auditable Trusted Execution Environments (TEE). Existing solutions (Intel TDX, AMD SEV-SNP) rely on centralized attestation services often outside the EU, and inter-TEE key exchange still uses classical RSA/ECDH — incompatible with PQC migration.
CryptOps Solution
AllEyes Resilient runs a sovereign remote attestation platform with ML-DSA-87 and acts as a PQC KMS for the fleet's AMD SEV-SNP TEEs on EPYC hosts. The FPGA accelerates memory encryption operations and the GPU runs confidential inference on encrypted models.
Deployment architecture
Key metrics
ROI analysis
| Item | Before | With CryptOps | Impact |
|---|---|---|---|
| External attestation service | Outside EU (Intel/Azure) | Local GARANCE PKI | Sovereignty |
| TEE PQC migration | Incompatible | Native ML-DSA-87 | Future-proof |
| Sensitive AI inference | Non-confidential cloud | Local TEE + GPU | Secret preserved |
Applicable regulation
Attestation and isolation framework for confidential workloads.
Attestable TEE acceptable for sovereign CSP qualification.
TEE inference for systemic-risk AI models (GPAI).
Target clients
Data processing on the same appliance
Beyond post-quantum encryption, every AllEyes Resilient appliance hosts your data-processing workloads on its FPGA, CPU and GPU resources — all isolated from the certified crypto core.
Secure your infrastructure today
Our team will guide you through the deployment tailored to your use case.