FHE Benchmark: Encrypted Vector Search in 165ms
August 5, 2026
Every company working on fully homomorphic encryption publishes benchmarks. Very few of them can be compared to each other. The reason isn’t dishonesty. It’s…
Blog
Engineering notes from the team behind CKKS. We write about homomorphic encryption in production — encrypted vector search, RAG pipelines that never decrypt, embedding inversion risk, and what confidential AI actually costs in latency.
So, Is Homomorphic Encryption Slow? Let’s Talk Numbers
July 14, 2026
Intro Homomorphic encryption keeps your vectors encrypted even while they’re being searched — great. But isn’t it slow? It was. Past tense. The “impractically…
enVector — Confidential cloud storage and retrieval for sensitive embeddings
July 9, 2026
To use AI on your data, you first have to embed it — and then you have to put those embeddings somewhere. Somewhere searchable.…
Why Your Vector Embeddings Need Proper Protection – and How to Actually Do It
July 2, 2026
Intro You’ve got a vector database full of embeddings. Question: are they sensitive? The gut answer is no. They’re not text, not images, not…