What are appropriate steps to use large language models (LLMs) securely on Amazon Bedrock?

Using clear, specific prompts helps prevent prompt injection and ensures the LLM behaves as intended, reducing security risks from malicious or ambiguous inputs. Configuring IAM roles and policies with least privilege is fundamental for security, granting only the necessary permissions to users and services accessing Bedrock. This minimizes the potential impact of compromised credentials or misconfigurations. Enabling AWS Audit Manager is for compliance auditing, not direct LLM security. Turning on Amazon Bedrock automatic model evaluation jobs focuses on model performance and quality, not security. While Amazon CloudWatch Logs are crucial for monitoring, they primarily help with observability and debugging, not directly making models explainable or monitoring for bias, which are separate concerns addressed by other tools and techniques.