Zero-Trust AI Inference • Hardware-Isolated • Ephemeral Assembly
Revolutionary AI inference system that protects intellectual property by separating neural network weights from topology, using AWS Nitro Enclaves for millisecond-duration secure execution.
Developed by CyntriSec • ephemeralml.cyntrisec.com
Explore TechnologyNeural networks decomposed into unstructured weights (host-stored) and topology keys (client-held). Functional models exist only during inference execution.
Models assembled and executed within milliseconds inside hardware-isolated enclaves, then immediately destroyed. No persistent model state.
AWS Nitro Enclaves provide cryptographic attestation and hardware-based isolation guarantees. Untrusted host cannot access model topology.
All communication channels encrypted and authenticated. VSock-based secure transport between host and enclave environments.
Built in Rust for performance and safety. Comprehensive mock mode for development, production mode for AWS deployment.
Novel approach to AI model protection combining cryptographic techniques with hardware security modules for unprecedented IP protection.
Hardware isolation and cryptographic attestation
Memory safety and zero-cost abstractions
Secure host-enclave communication
Formal verification of security properties
Cryptographic model verification
EphemeralML is an advanced R&D initiative demonstrating the capabilities of Confidential Computing. Built on AWS Nitro Enclaves, this project serves as a production-grade reference architecture for secure AI inference, currently under active technical development.