> For the complete documentation index, see [llms.txt](https://docs.panther.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.panther.com/ko/cloud-scanning/cloud-resource-attributes/aws/cloudtrail-meta.md).

# CloudTrail 메타

## 리소스 유형

`AWS.CloudTrail.Meta`

## 리소스 ID 형식

CloudTrail Meta 리소스의 경우, 리소스 ID는 다음과 같이 구성됩니다:

`[AccountId]::AWS.CloudTrail.Meta`

예:

`123456789012::AWS.CloudTrail.Meta`

첫 번째 콜론 앞의 문자를 보면 Panther에 연결된 모든 AWS 계정 간의 CloudTrail Meta 리소스를 구분할 수 있습니다.

## 배경

이 리소스는 전체 계정에 대한 AWS CloudTrail의 메타데이터를 나타냅니다. 계정 스냅샷이 생성될 때마다 정확히 하나의 `AWS.CloudTrail.Meta` 리소스가 생성됩니다.

## 필드

| 필드                     | 유형    | 설명                                                                                           |
| ---------------------- | ----- | -------------------------------------------------------------------------------------------- |
| `Trails`               | `리스트` | 계정 내 모든 trail의 ARN 목록입니다. 특정 trail의 존재 여부, 계정 내 trail 수, 특정 리전에서의 trail 존재 여부를 확인하는 데 사용됩니다. |
| `GlobalEventSelectors` | `리스트` | 각 리전의 각 CloudTrail에 걸친 관리 및 데이터 이벤트 설정의 모음입니다.                                               |

## 예시

```javascript
{
    "AccountId": "123456789012",
    "GlobalEventSelectors": [
        {
            "DataResources": null,
            "IncludeManagementEvents": true,
            "ReadWriteType": "All"
        }
    ],
    "Name": "AWS.CloudTrail.Meta",
    "Region": "global",
    "ResourceId": "123456789012::AWS.CloudTrail.Meta",
    "ResourceType": "AWS.CloudTrail.Meta",
    "Tags": null,
    "TimeCreated": null,
    "Trails": [
        "arn:aws:cloudtrail:us-east-1:123456789012:trail/trail-east-1-1",
        "arn:aws:cloudtrail:us-east-1:123456789012:trail/trail-east-1-2",
        "arn:aws:cloudtrail:us-west-2:123456789012:trail/trail-west-2-1",
        "arn:aws:cloudtrail:us-west-1:123456789012:trail/other-trail"
    ]
}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.panther.com/ko/cloud-scanning/cloud-resource-attributes/aws/cloudtrail-meta.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.