> For the complete documentation index, see [llms.txt](https://docs.wrks.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wrks.ai/policies/model-providers-policies.md).

# 모델 제공사별 데이터 보안 정책

웍스AI에서 제공하는 모델들은 아래와 같이 각 업체가 공표하고 있는 **데이터 보안 정책**에 따라 **고객 데이터를 서비스 제공 목적 이외의 모델 학습에 이용하지 않고 있습니다.**

#### 📋 AI 기업별 API/Enterprise 데이터 정책 요약

| OpenAI     | API / Enterprise              | 미사용 (입력 및 출력 데이터 포함)          | [Enterprise Privacy](https://openai.com/ko-KR/enterprise-privacy/?utm_source=chatgpt.com)                                       |
| ---------- | ----------------------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| Google     | Gemini API (Paid) / Vertex AI | 미사용 (기반 모델 튜닝에 사용 안 함)        | [Terms of Service](https://ai.google.dev/gemini-api/terms?hl=ko#data-use-paid)                                                  |
| Anthropic  | Claude API / Enterprise       | 미사용 (상용 서비스 데이터 제외)           | [Privacy Support](https://privacy.claude.com/en/articles/7996885-how-do-you-use-personal-data-in-model-training)                |
| Upstage    | Solar API                     | 미사용 (서비스 제공용으로만 일시 처리)        | [Terms & Policies](https://www.upstage.ai/terms-policie/update-march-25-2025)                                                   |
| Perplexity | API / Enterprise Pro          | 미사용 (API 요청 및 Ent. 데이터 제외)    | [FAQ](https://docs.perplexity.ai/faq/faq#will-user-data-submitted-through-the-api-be-used-for-model-training-or-other-purposes) |
| xAI (Grok) | Enterprise                    | 미사용 (약관 3-2항: 학습 이용 안 함)      | [Terms of Service](https://x.ai/legal/terms-of-service-enterprise)                                                              |
| LG EXAONE  | API (via FriendliAI)          | 미사용 (약관 10조: 서비스 목적 외 이용 안 함) | [FriendliAI Terms](https://friendli.ai/terms-of-service)                                                                        |


---

# 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.wrks.ai/policies/model-providers-policies.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.
