# 2-2-1. Data Privacy Protection From AI video and image processing to highly confidential projects, the biggest challenge of distributed computing is privacy protection. There is a problem with current cloud computing systems that they cannot fully ensure the confidentiality of data during computation. EMETH has developed distributed confidential computing technology to address this issue. This technology performs advanced computational processes while ensuring the confidentiality of data. It splits encrypted learning data, distributes it to multiple nodes, and each node processes the data while it remains encrypted. After processing, the generated model is securely integrated, ensuring the privacy and confidentiality of the data. EMETH's distributed confidential computing significantly reduces security risks and balances privacy protection with high performance. Parallel computing through distributed processing effectively handles large-scale data, improving productivity in AI development and applications. This groundbreaking technology promotes the development of innovative AI services that safely utilize confidential data and contributes to the protection of personal information and the establishment of data sovereignty. EMETH opens new possibilities in distributed computing and realizes a future of data utilization that is more secure and reliable. --- # 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://emeth-1.gitbook.io/emeth-white-paper-en/2.-project/2-2.-overview-of-emeth-project/2-2-1.-data-privacy-protection.md?ask= ``` 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.