Vector DBs store embeddings in plaintext. Embeddings are invertible—breach one, reconstruct medical records or codebases. Join our CyborgDB Encrypted Vector Search #Hackathon at #GTCDC: Build RAG with encryption-in-use! $10K prizes + collaborative dev. RSVP: https://t.co/GmZ9ZVEkpm #GTC2025
OWASP #8 identifies embedding inversion as a real threat. Traditional encryption-at-rest doesn't protect during queries. @cyborgHQ implements encryption-in-use with GPU-accelerated search. Stop by GTC Booth I-8 to see it running on the new Nvidia DGX Spark. @owasp@LLM_Top10@nvidia #GTC2025
Vector databases quietly hold your most sensitive AI data, and unlike password hashes, embeddings are fully invertible. Database breach → reconstruct the original data. https://t.co/S9Db2dPtc2 built CyborgDB to fix this. Stop by Booth I-8 to see us! #NVIDIAGTC#GTC2025#GTCDC
🚨 Our next NYC AI Demos event is coming up!
Join @TechNYC, @ai_pensar, @TwoTreesNY, and hundreds of NYC technologists, investors, and founders at The Refinery at Domino on Oct. 23 to catch demos from @elevenlabs, @get_tabs, @whop, @slingshotai_inc, @RogoAI, and @CyborgHQ.
Apply to attend: https://t.co/lxJhgMld1U
#ObviouslyNYC #NYCTech #NYCAI
Before you upload, ask: should we be encrypting this?
CyborgDB is the first and only vector database proxy that delivers encryption-in-use, customer-controlled key management, and high-speed compatibility with existing systems: https://t.co/S9Db2dOVmu
#VectorDB#RAG#InfoSec#AI
Before you upload your docs to that vector database, consider: you're about to make your entire organizational knowledge searchable by anyone who compromises a single API key. There is a way to securely encrypt vector data, and you should.
Your compliance team hasn't caught up yet. GDPR, HIPAA, SOC - none account for semantic similarity search across embedded data. "We can delete the document" doesn't help when its meaning is still encoded in high-dimensional space next to everything else.
Introducing CyborgDB — the first Confidential Vector Database built for secure, enterprise-grade AI.
CyborgDB enables high-performance vector search over fully encrypted embeddings. The missing piece for Confidential AI.
More info: https://t.co/dFkQUkEqSr
We have teamed up with @CyborgHQ to enhance the security of vector databases using the RAPIDS cuVS library, an #opensource toolkit that accelerates vector search with state-of-the-art algorithms.
Technical deep dive ➡️ https://t.co/Ewnkupq8o0
This collaboration aims to bring GPU acceleration to Cyborg’s encrypted vector search engine, ensuring robust security without compromising performance.
Stealth is the only end-to-end encrypted cloud storage platform which offers content search. How does it work? https://t.co/Ai8U0mzfyi
#privacy#cloudcomputing
With the increasing amount of online activities, privacy becomes more and more tenuous for documents we feel are confidential. Cryptography seems a good answer, but we think it is complex.
Learn more > https://t.co/hUNCudBArn @CyborgHQ via @antgrasso#CyborgPartner#dataprivacy
Stealth BETA - our private, searchable cloud storage platform is now available on Web! Get 25GB of end-to-end encrypted storage for free: https://t.co/bXSGlJENQ0
Encrypted search has been the missing element for the widespread adoption of end-to-end encryption. But what is it? Learn more: https://t.co/r69bRV41IG
Just because something's encrypted, doesn't mean it's private. Our Lead Software Engineer, @Alex_Helle_, explains why end-to-end encryption is the gold standard of data privacy: https://t.co/pHuVfZ7NVm