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Getting Started with Amazon Bedrock and IAM for Secure AI Systems

BEGINNER
100 minutes
5 tasks

Learn to secure your AI systems by integrating Amazon Bedrock with AWS IAM. This lab introduces you to foundational security practices using Amazon Bedrock, teaching you how to create IAM roles for access control and security within AI solutions.

Scenario

Your company is deploying an AI service using Amazon Bedrock. To ensure compliance with security and governance standards, you need to implement access controls and secure your AI processes. This involves using AWS IAM to manage permissions for Bedrock resources and ensuring the system follows best practices for security and governance.

Learning Objectives

  • Understand how to configure IAM roles for Amazon Bedrock
  • Learn best practices for secure AI system deployment using Amazon Bedrock
  • Implement basic security and governance controls in AI applications

tasks (5)

task 1: Create an IAM Role for Amazon Bedrock

20 min

task 2: Implement Security Policies for Data Encryption

20 min

task 3: Set Up Governance Protocols for AI Operations

20 min

task 4: Configure AWS Config for Monitoring AI Compliance

20 min

task 5: Use AWS Audit Manager to Prepare Compliance Reports

20 min

Prerequisites

  • •Basic understanding of AWS IAM roles and policies
  • •Familiarity with AWS Management Console operations

Skills Tested

Configuring IAM roles for secure AI system managementApplying encryption policies in AWS for data protectionImplementing governance protocols for AI resource managementMonitoring AI system compliance using AWS ConfigCreating and managing compliance reports with AWS Audit Manager

References