AWS Bedrock

Build generative AI applications with foundation models

AI

Connect it

In Keystile Automations → Connections → New connection, choose AWS Bedrock and sign in. Your AI tools and workflows then use it through Keystile; they never see the password or key.How connecting works.

Try it from your AI tool

Using Keystile, in AWS Bedrock: ask bedrock (Send a text prompt to an Amazon Bedrock model).

What it can do (5 actions)

Action	What it does	Changes data
Ask Bedrock	Send a text prompt to an Amazon Bedrock model.
Custom API Call	Make a custom API call to any AWS Bedrock endpoint. Requests are automatically signed with AWS Signature V4.	Yes
Generate Content from Image	Ask a Bedrock model a question about an image.
Generate Embeddings	Generate vector embeddings from text using Amazon Titan Embed, Cohere Embed, or Amazon Nova Multimodal Embeddings models.
Generate Image	Generate an image from a text prompt using Amazon Titan Image Generator or Stability AI models.

How Keystile protects it

Every AWS Bedrock action is checked before it runs, whether it comes from an AI tool or a workflow. 1 of its actions change data; your rules, limits and budgets decide whether each is allowed, held for a person or stopped, and it all goes into the signed record.

Tip

Write rules about what an action means — for example "Deleting AWS Bedrock records needs a person's approval" — rather than listing action names. Keystile Intelligence applies them to every action that fits.

Use AWS Bedrock with your AI assistant — safelyClaude, Cursor or ChatGPT do the work; Keystile checks every action first.

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