Confidential AI

Confidential computing for AI, Secure AI

Governance

Infrastructure

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TL;DR
A security framework that uses hardware-based trusted execution environments to keep AI models, weights, and training or inference data encrypted during processing.

In depth

Confidential AI addresses the data-in-use security gap by executing AI workloads inside cryptographically isolated enclaves. Traditional encryption safeguards data at rest and in transit, but leaves it vulnerable in system memory during active computations. By utilizing hardware-level CPU and GPU protection alongside remote attestation, it ensures that even cloud providers and system administrators cannot access sensitive model weights or user prompts.

Why this matters for your business

This technology is essential for healthcare, finance, and defense sectors trying to safely deploy proprietary or highly regulated AI workloads on public cloud infrastructure.

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