On March 12 2026 Corvex introduced Secure Model Weights in early availability, enabling AI model builders and enterprises to deploy inference workloads on third-party GPU infrastructure without exposing valuable model weights. The patent-pending solution ensures model weights remain encrypted until decrypted within the GPU’s trusted execution environment. Following its all-stock merger with Corvex, Movano gains a hardware-enforced IP protection capability that addresses runtime vulnerabilities in third-party GPU deployments. This launch positions the combined company to target regulated sectors—healthcare, finance, defense—where sovereign key custody and auditable security are critical for fine-tuned AI workloads. Secure Model Weights integrates NVIDIA Confidential Computing on Hopper and Blackwell GPUs, Intel Trust Domain Extensions for CPU isolation, remote attestation of the host environment, and post-quantum ML-KEM (Kyber-768) key exchange. This multi-layer hardware-rooted approach ensures keys and weights exist in cleartext only inside protected GPU memory, inaccessible to hypervisors or host kernels.