# Fully Homomorphic Encryption (FHE) DEAI employs Fully Homomorphic Encryption (FHE), an advanced cryptographic technique that ensures data remains encrypted even during computations. This innovation provides unparalleled data security, making it a key feature of the platform. * Encrypted Computation: With FHE, computations are performed directly on encrypted data, ensuring that raw data is never exposed to external entities or unauthorized parties. * Enhanced AI Privacy: Developers can train AI models using private datasets without decrypting them, enabling sensitive sectors such as healthcare and legal to adopt DEAI with confidence. * A New Standard for Security: FHE represents the highest level of cryptographic protection, setting DEAI apart from traditional AI platforms. --- # 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/how-deai-works-powering-a-decentralized-ai-ecosystem/fully-homomorphic-encryption-fhe.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.