How does Corvex protect AI model weights during inference?

Corvex uses post-quantum cryptography to keep AI model weights encrypted even during inference execution. Trusted Execution Environments (TEEs) ensure weight confidentiality and prevent hardware-level side-channel attacks—weights are never exposed in plaintext.

Why do AI model weights need special security protection?

Large AI model weights represent tens to hundreds of millions of dollars in IP. Traditional encryption requires decryption at inference time, creating a theft window. Corvex closes this fundamental security gap, preventing competitors or hackers from copying models.

What does Corvex's post-quantum encryption mean for AI deployments?

Post-quantum encryption ensures encrypted model weights remain unbreakable even when quantum computers arrive. Enterprises can safely deploy AI models on untrusted cloud or edge devices, dramatically expanding secure deployment scenarios.

— AI DAILY

Sources

Morningstar
VentureBeat
IEEE Spectrum
Morningstar