Secure approach to generative AI

Securing generative AI using AWS industry leading security capabilities
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Overview

AWS’s top priority is safeguarding 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

The infrastructure operator must have no ability to access customer content and AI data, such as AI model weights and data processed with models.
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.
The communication between devices in the ML accelerator infrastructure must be protected. All externally accessible links between the devices must be encrypted.

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