> For the complete documentation index, see [llms.txt](https://suiverify.gitbook.io/suiverify/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://suiverify.gitbook.io/suiverify/nautilus-infra/how-storage-works.md).

# How Storage Works

The Age Verification MVP uses Walrus, a decentralized storage platform, to securely store government ID images.

**How It Works**

* **Encryption**: ID images are encrypted using Seal, ensuring privacy.
* **Storage**: Encrypted blobs are uploaded to Walrus, a scalable and secure platform.
* **Access**: Only whitelisted users (e.g., authorized auditors) can decrypt and view the images.

**Benefits**

* **Security**: Encryption ensures data remains confidential.
* **Decentralization**: Walrus provides resilient, tamper-proof storage.
* **Scalability**: Handles large volumes of data effortlessly.

This approach guarantees secure and reliable storage for sensitive user data.


---

# 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://suiverify.gitbook.io/suiverify/nautilus-infra/how-storage-works.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.
