What it provides

Amazon Bedrock is a managed AWS service for invoking foundation models with AWS controls such as IAM, encryption, and logging.

The managed building blocks include:

• model inference and evaluation;
• Knowledge Bases for retrieval-augmented generation (RAG);
• Guardrails for input and output controls;
• Agents for coordinating models, knowledge bases, and action APIs.

Model availability, features, quotas, and pricing vary by AWS Region, so verify them before choosing an architecture.

Request path

1. Authenticate with an IAM role and call a selected model.
2. Optionally apply Guardrails and retrieve context from a Knowledge Base.
3. Generate a response.
4. Validate it before display or action.

Keep model calls behind an application boundary. That is the right place for timeouts, retries, cost limits, input validation, authorization, and audit logs.

Security checklist

• Grant only the model and API actions the workload needs.
• Treat prompts, retrieved documents, and tool output as sensitive or untrusted.
• Enforce authorization in application code, not only in prompts.
• Test guardrails and audit decisions without logging secrets.

Further reading: Amazon Bedrock User Guide, Knowledge Bases, and Guardrails.