What is Amazon Bedrock?
Amazon Bedrock is AWS's managed AI service. It provides access to a variety of AI models from different vendors through a single AWS interface, with no separate accounts or API keys required. Because it runs inside Kearney's AWS environment, all data stays within the same encrypted, access-controlled infrastructure as the rest of the sandbox.
Use Bedrock for internal prototypes and experiments that are not tied to a DoD client. For DoD work or federal deliverables, use AskSage. That split is required under FASCSA and FAR 52.204-30.
Available models
The following model families are enabled in the sandbox. Anthropic (Claude) models are not available. They were removed in February 2026 per a DoD supply chain risk designation.
| Model Family | Provider | Best For |
|---|---|---|
| Amazon Nova | Amazon | General analysis, text generation, AWS-integrated workflows |
| Amazon Titan | Amazon | Embeddings (turning text into searchable vectors), basic text tasks |
| Meta Llama | Meta | Open-source reasoning, coding assistance, research experimentation |
| Mistral | Mistral AI | Fast, efficient responses for lighter analysis tasks |
| Cohere | Cohere | Document search, retrieval, and classification tasks |
How to use Bedrock from your notebook
Bedrock is called from your SageMaker Studio notebook using the AWS Python SDK (boto3). Your notebook session automatically has the necessary permissions. No additional credentials are required.
The sandbox uses the Bedrock Converse API, which provides a consistent interface across all model families. This means you can switch between Nova, Llama, or Mistral by changing only the model name.
Ask your team lead for the Bedrock starter notebook, which includes working examples for common tasks including text generation, summarization, and embedding creation.
Use Bedrock when you are experimenting with AWS-native features, building something that will eventually integrate with other AWS services, or working on an internal Kearney prototype. Use AskSage for anything that will touch a federal client deliverable or a DoD engagement.
What Bedrock cannot do in this environment
IAM only allows the model families listed above. Anthropic is left out on purpose. If you call Claude anyway, you will get access denied; that is normal.
There is no Bedrock playground in the AWS console for this sandbox. Run prompts from a SageMaker Studio notebook with boto3.
Contact sandbox-support@kearneyco.com. Include the model name you are attempting to call and the error message you received.