Solutions — Government
Hardware-enforced, zero-trust infrastructure for AI on sensitive data
The problem
Running AI on sensitive or mission data means trusting the host, the operator, or the cloud provider not to see it. In contested or regulated environments, that trust assumption is the vulnerability.
Why Luminous fits
Luminous provides an attested, fail-closed confidential-computing fabric. AI workloads run inside hardware-isolated enclaves with device attestation, encrypted transport, and memory encryption. A tier-aware attestation layer verifies every node before admitting work and fails closed on any mismatch. Cross-silicon, spanning heterogeneous confidential accelerators under a single control plane.
Relevance areas
- Zero Trust
- Assured Identity
- ML & AI security
- Contested and edge environments
Company facts
- Delaware C-corporation, New Jersey-based.
- Sole U.S. owner (lawful permanent resident).
- Eligible for unclassified engagement.
- No foreign ownership, control or influence by a covered country.
- Pursuing federal SBIR.
The ask
Participate in Rapid Prototyping Events and Technical Exchange Meetings, and a Technical Evaluation of the confidential-compute capability.