How can companies use large language models (LLMs) securely on Amazon Bedrock?

The correct answer is A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles. To securely use large language models (LLMs) on Amazon Bedrock, companies should design clear and specific prompts to avoid unintended outputs and ensure proper configuration of AWS Identity and Access Management (IAM) roles and policies with the principle of least privilege…

Submitted by akirajp· Mar 30, 2026Security, Compliance, and Governance for AI Solutions

Question

Options

ADesign clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles
BEnable AWS Audit Manager for automatic model evaluation jobs.
CEnable Amazon Bedrock automatic model evaluation jobs.
DUse Amazon CloudWatch Logs to make models explainable and to monitor for bias.

How the community answered

(61 responses)

A
80% (49)
B
11% (7)
C
3% (2)
D
5% (3)

Explanation

To securely use large language models (LLMs) on Amazon Bedrock, companies should design clear and specific prompts to avoid unintended outputs and ensure proper configuration of AWS Identity and Access Management (IAM) roles and policies with the principle of least privilege. This approach limits access to sensitive resources and minimizes the potential impact of security

Topics

#LLM security#IAM#Amazon Bedrock#prompt design

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