Amazon Bedrock Security and Privacy

This lesson explores the security, privacy, and governance facets of Amazon Bedrock for creating responsible generative AI applications. It covers encryption for data privacy, AWS' pledge to refrain from using customer data for model training, access control through IAM, auditing via AWS CloudTrail and CloudWatch, compliance with diverse standards, and the implementation of Guardrails for responsible AI interactions.

 

Learning Objectives

Obtain a greater understanding of Amazon Bedrock’s security and privacy features, including:

• Security and encryption

• Privacy and data protection

• Identity and access management

• Auditing, compliance, and governance

• Guardrails that help provide safeguards against undesirable and harmful content

Intended Audience

• Application developers who are looking to build responsible AI applications using Amazon Bedrock

• Administrators responsible for ensuring that an organization’s generative AI applications are safe, secure, and conform with compliance standards such as ISO, HIPAA, and GDPR

Prerequisites

To get the most out of this lesson, you should have a basic understanding of AWS as well as a high-level understanding of generative AI.