> For the complete documentation index, see [llms.txt](https://docs.probe.splx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.probe.splx.ai/ai-red-teaming/remediation/policy-generator/aws-bedrock-guardrails.md).

# AWS Bedrock Guardrails

## Creating a Policy

After you have [selected AWS Bedrock Guardrails as your AI firewall provider](/ai-red-teaming/remediation/policy-generator.md#generate-new-policy):

#### Step 1: Select Mapped Probes

Only probes that meet the required criteria are shown, and their fail rates are displayed for reference.

**Probes used in this step must:**

* Have a completed probe run.
* Have mapped Policy Rules.

These criteria ensure that only relevant probes are included in the generated policy, keeping configurations accurate and efficient.

<figure><img src="/files/SM3mryKOXN6XYOsAe1wX" alt=""><figcaption><p>Figure 1: Select Mapped Probes </p></figcaption></figure>

## Generated Policy Template Page

Once the new policy has been generated, the **Generated Policy Template Page** displays the full details of the result.

The top section includes key policy information:

* **AI Firewall Provider** - AI firewall provider for which the policy was generated.
* **Generated on** - when the policy was generated.
* **Generated by** -  who generated the policy.
* **Selected probes** - probes used to create a template based on the results of their runs.
* **Progress** - showing whether the policy template is being generated or the generation is finished.

Below the summary of the latest generated policy, users can interact with two key sections:

1. **CLI Command:** A pre-generated AWS CLI command for provisioning a Bedrock guardrail using `create-guardrail` with a predefined JSON configuration. This command simplifies the process of applying guardrails to an AI runtime environment.
2. **JSON Formatted Policy:** A detailed JSON configuration that outlines the rules and settings for the Bedrock guardrail. It includes predefined values for fields such as names, blocked input/output messages, and other policy configurations, which users can directly use.

<figure><img src="/files/iZpqtosNY0xcmQXAmefJ" alt=""><figcaption><p>Figure 2: Latest Generated Policy Template page for AWS Bedrock Guardrails</p></figcaption></figure>


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