Secure approach to generative AI

Securing generative AI using AWS industry leading security capabilities

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Overview

At AWS our top priority is the security and confidentiality of your workloads. AWS Artificial Intelligence (AI) infrastructure and services have security and privacy features built-in to give you control over your data. You can rest assured that your data is being handled securely across the AI lifecycle including for data preparation, training, and inferencing.

Key principles of securing AI infrastructure

Complete isolation of the AI data from the infrastructure operator

The infrastructure operator must have no ability to access customer content and AI data, such as AI model weights and data processed with models.

Ability for customers to isolate AI data from themselves

The infrastructure must provide a mechanism to allow model weights and data to be loaded into hardware, while remaining isolated and inaccessible from customers’ own users and software.

Protected infrastructure communications

The communication between devices in the ML accelerator infrastructure must be protected. All externally accessible links between the devices must be encrypted.