> ## Documentation Index
> Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Zscaler AI Guard

> Zscaler AI Guard integration for enforcing security policies on LLM inputs and outputs, including Data Loss Prevention (DLP) and prompt injection protection.

[Zscaler AI Guard](https://www.zscaler.com/) provides AI-powered security for LLM applications. It enforces Detections Policies to perform security checks such as Data Loss Prevention (DLP) and prompt injection protection on both inbound prompts and outbound model responses.

<Card title="Get Started with Zscaler AI Guard" href="https://www.zscaler.com/" />

## Using Zscaler AI Guard with Portkey

### 1. Add Zscaler Credentials to Portkey

* Navigate to the `Plugins` page under `Admin Settings`
* Click on the edit button for the **Zscaler AI Guard** integration
* Add your **Zscaler AI Guard API Key** (the DAS Application Key generated from your Zscaler AI Guard tenant)

### 2. Add Zscaler AI Guard Check

* Navigate to the `Guardrails` page and click the `Create` button
* Search for "Zscaler AI Guard" and click `Add`
* Configure your guardrail settings:
  * **Policy ID**: The ID of the Zscaler Detections Policy to execute (Required)
  * **Timeout**: The timeout in milliseconds for the scan (Default: `10000`)
* Set any `actions` you want on your check, and create the Guardrail!

<Note>
  Guardrail Actions allow you to orchestrate your guardrails logic. You can learn more about them [here](/product/guardrails#there-are-6-types-of-guardrail-actions)
</Note>

| Check Name             | Description                                                                                                                 | Parameters                               | Supported Hooks                         |
| ---------------------- | --------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- | --------------------------------------- |
| Zscaler AI Guard Check | Scans prompts and responses against a Zscaler Detections Policy. Returns `ALLOW` or `BLOCK` based on the policy evaluation. | `Policy ID` (string), `Timeout` (number) | `beforeRequestHook`, `afterRequestHook` |

### 3. Add Guardrail ID to a Config and Make Your Request

* When you save a Guardrail, you'll get an associated Guardrail ID - add this ID to the `input_guardrails` or `output_guardrails` params in your Portkey Config
* Create these Configs in Portkey UI, save them, and get an associated Config ID to attach to your requests. [More here](/product/ai-gateway/configs).

Here's an example config:

```json theme={"system"}
{
  "input_guardrails": ["guardrails-id-xxx", "guardrails-id-yyy"],
  "output_guardrails": ["guardrails-id-xxx", "guardrails-id-yyy"]
}
```

<Tabs>
  <Tab title="NodeJS">
    ```js theme={"system"}
    const portkey = new Portkey({
        apiKey: "PORTKEY_API_KEY",
        config: "pc-***" // Supports a string config id or a config object
    });
    ```
  </Tab>

  <Tab title="Python">
    ```py theme={"system"}
    portkey = Portkey(
        api_key="PORTKEY_API_KEY",
        config="pc-***" # Supports a string config id or a config object
    )
    ```
  </Tab>

  <Tab title="OpenAI NodeJS">
    ```js theme={"system"}
    const openai = new OpenAI({
      apiKey: 'OPENAI_API_KEY',
      baseURL: PORTKEY_GATEWAY_URL,
      defaultHeaders: createHeaders({
        apiKey: "PORTKEY_API_KEY",
        config: "CONFIG_ID"
      })
    });
    ```
  </Tab>

  <Tab title="OpenAI Python">
    ```py theme={"system"}
    client = OpenAI(
        api_key="OPENAI_API_KEY",
        base_url=PORTKEY_GATEWAY_URL,
        default_headers=createHeaders(
            provider="openai",
            api_key="PORTKEY_API_KEY",
            config="CONFIG_ID"
        )
    )
    ```
  </Tab>

  <Tab title="cURL">
    ```sh theme={"system"}
    curl https://api.portkey.ai/v1/chat/completions \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer $OPENAI_API_KEY" \
      -H "x-portkey-api-key: $PORTKEY_API_KEY" \
      -H "x-portkey-config: $CONFIG_ID" \
      -d '{
        "model": "gpt-5.1-nano",
        "messages": [{
            "role": "user",
            "content": "Hello!"
          }]
      }'
    ```
  </Tab>
</Tabs>

For more, refer to the [Config documentation](/product/ai-gateway/configs).

Your requests are now guarded by Zscaler AI Guard, and you can see the verdict and any actions taken directly in your Portkey logs!

## Get Support

If you face any issues with the Zscaler AI Guard integration, join the [Portkey community forum](https://discord.gg/portkey-llms-in-prod-1143393887742861333) for assistance.