Applied FHE: A Use Case Showcase

Identify individuals from encrypted face embeddings without decryption. Biometric data is never exposed as plaintext on the server.

Search an image database with natural language queries. Privacy-preserving with multimodal embeddings and FHE vector search.

Upload an image to find similar images and auto-generated tags using encrypted multimodal vector search.

Find relevant evidence documents instantly from 23,000+ legal records using encrypted vector search. Source documents stay encrypted on the server.

Search and answer questions over DRM-protected corporate documents without ever decrypting them. Enable GenAI adoption without security approval bottlenecks.

Detect similar weak password patterns without sending passwords in plaintext to the server. Encrypted vector comparison — not hashes, not plaintext.

Upload or record audio to detect emergency sounds — sirens, breaking glass, fire, chainsaw — using FHE-encrypted queries over 576 ESC-50 clips. The server never sees your audio in plaintext.

Standard vector DBs allow embedding inversion — reconstructing original text from embeddings. enVector blocks this attack at the source by encrypting embeddings with FHE.