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+[[assistant-connect-to-bedrock]]
+= Connect to Amazon Bedrock
+
+This page provides step-by-step instructions for setting up an Amazon Bedrock connector for the first time. This connector type enables you to leverage large language models (LLMs) within {kib}. You'll first need to configure AWS, then configure the connector in {kib}.
+
+NOTE: Only Amazon Bedrock's `Anthropic` models are supported: `Claude` and `Claude instant`.
+
+[discrete]
+== Configure AWS
+
+[discrete]
+=== Configure an IAM policy
+
+First, configure an IAM policy with the necessary permissions:
+
+. Log into the AWS console and search for Identity and Access Management (IAM).
+. From the **IAM** menu, select **Policies** → **Create policy**.
+. To provide the necessary permissions, paste the following JSON into the **Specify permissions** menu.
++
+```json
+{
+ "Version": "2012-10-17",
+ "Statement": [
+ {
+ "Sid": "VisualEditor0",
+ "Effect": "Allow",
+ "Action": [
+ "bedrock:InvokeModel",
+ "bedrock:InvokeModelWithResponseStream"
+ ],
+ "Resource": "*"
+ }
+ ]
+}
+```
++
+NOTE: These are the minimum required permissions. IAM policies with additional permissions are also supported.
++
+. Click **Next**. Name your policy.
+
+The following video demonstrates these steps.
+
+=======
+++++
+
+
+
+++++
+=======
+
+
+[discrete]
+=== Configure an IAM User
+
+Next, assign the policy you just created to a new user:
+
+. Return to the **IAM** menu. Select **Users** from the navigation menu, then click **Create User**.
+. Name the user, then click **Next**.
+. Select **Attach policies directly**.
+. In the **Permissions policies** field, search for the policy you created earlier, select it, and click **Next**.
+. Review the configuration then click **Create user**.
+
+The following video demonstrates these steps.
+
+=======
+++++
+
+
+
+++++
+=======
+
+[discrete]
+=== Create an access key
+
+Create the access keys that will authenticate your Elastic connector:
+
+. Return to the **IAM** menu. Select **Users** from the navigation menu.
+. Search for the user you just created, and click its name.
+. Go to the **Security credentials** tab.
+. Under **Access keys**, click **Create access key**.
+. Select **Third-party service**, check the box under **Confirmation**, click **Next**, then click **Create access key**.
+. Click **Download .csv file** to download the key. Store it securely.
+
+The following video demonstrates these steps.
+
+=======
+++++
+
+
+
+++++
+=======
+
+[discrete]
+=== Enable model access
+
+Make sure the supported Amazon Bedrock LLMs are enabled:
+
+. Search the AWS console for Amazon Bedrock.
+. From the Amazon Bedrock page, click **Get started**.
+. Select **Model access** from the left navigation menu, then click **Manage model access**.
+. Check the boxes for **Claude** and/or **Claude Instant**, depending which model or models you plan to use.
+. Click **Save changes**.
+
+The following video demonstrates these steps.
+
+=======
+++++
+
+
+
+++++
+=======
+
+[discrete]
+== Configure the Amazon Bedrock connector
+
+Finally, configure the connector in {kib}:
+
+. Log in to {kib}.
+. Go to **Stack Management → Connectors → Create connector → Amazon Bedrock**.
+. Name your connector.
+. (Optional) Configure the Amazon Bedrock connector to use a different AWS region where Anthropic models are supported by editing the **URL** field, for example by changing `us-east-1` to `eu-central-1`.
+. (Optional) Add one of the following strings if you want to use a model other than the default:
+.. For Haiku: `anthropic.claude-3-haiku-20240307-v1:0`
+.. For Sonnet: `anthropic.claude-3-sonnet-20240229-v1:0`
+.. For Opus: `anthropic.claude-3-opus-20240229-v1:0`
+. Enter the **Access Key** and **Secret** that you generated earlier, then click **Save**.
++
+Your LLM connector is now configured. For more information on using Elastic AI Assistant, refer to <>.
+
+IMPORTANT: If you're using https://docs.aws.amazon.com/bedrock/latest/userguide/prov-throughput.html[provisioned throughput], your ARN becomes the model ID, and the connector settings **URL** value must be https://www.urlencoder.org/[encoded] to work. For example, if the non-encoded ARN is `arn:aws:bedrock:us-east-2:123456789102:provisioned-model/3Ztr7hbzmkrqy1`, the encoded ARN would be `arn%3Aaws%3Abedrock%3Aus-east-2%3A123456789102%3Aprovisioned-model%2F3Ztr7hbzmkrqy1`.
+
+
+The following video demonstrates these steps.
+
+=======
+++++
+
+
+
+++++
+=======
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diff --git a/docs/assistant/security-assistant.asciidoc b/docs/assistant/security-assistant.asciidoc
index 3b5c562f6f..61697eb4a7 100644
--- a/docs/assistant/security-assistant.asciidoc
+++ b/docs/assistant/security-assistant.asciidoc
@@ -223,3 +223,4 @@ In addition to practical advice, AI Assistant can offer conceptual advice, tips,
include::ai-alert-triage.asciidoc[leveloffset=+1]
+include::connect-to-bedrock.asciidoc[leveloffset=+1]
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