# Privacy and Security First

Using FHE and Federated Learning, DEAI ensures that user data is never exposed or centralized. You control your data, and its privacy is guaranteed at every stage of AI model development and interaction.

* User-Centric Data Control: Users retain ownership and control of their data at every step, reducing risks of misuse or unauthorized access.
* Secure AI Development: AI models are trained on encrypted data, guaranteeing that sensitive information remains private and protected, even during computation.
* Regulatory Compliance: The platform supports industries that require adherence to strict privacy regulations, such as healthcare and finance, enabling broader AI adoption.


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# Agent Instructions: 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:

```
GET https://docs.deailab.vip/how-it-works/key-features-and-advantages-why-deai-is-different/privacy-and-security-first.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
