
Cyborg lets regulated enterprises run AI vector search and storage on encrypted data.
cyborg.coCrawled Oct 9, 2026
Similarity search directly on encrypted data — self-hosted in your VPC or on-prem. Stays encrypted during search; only the final candidates are decrypted.
Confidential AI for healthcare, financial services, legal, government & defense, and biometric verification — five deployment patterns on one encrypted architecture.
Six confidential-AI workloads on one encrypted index — RAG, agent memory, biometric search, multi-tenant isolation, cross-org PSI, and private embeddings.
Anthropic disrupted the first AI-orchestrated cyber espionage campaign — and centralized vector databases are now the highest-value target in the new threat landscape.
Every enterprise AI runs on a vector memory layer that everyone is racing to make faster — and almost nobody is asking what happens when that memory gets compromised.
Nicolas Dupont joins Robotics & AI Infrastructure Leaders to discuss how encryption is evolving to meet the demands of modern AI systems — and why confidentiality must be built in from the ground up.
Nicolas Dupont's talk from the 2025 Confidential Computing Summit on why confidential vector databases are the missing layer in any serious confidential AI stack.
CyborgDB pricing — free up to 1M encrypted embeddings, $5 per 1M operations on Standard, custom Enterprise plans for regulated and air-gapped deployments.
Cyborg is building the cryptographic foundation for confidential AI — encrypted vector search, end-to-end encrypted collaboration, and the primitives that make 'don't trust the cloud' a real engineering choice.
Questions about a product, a security review, or a deployment? We usually reply within one business day.
CyborgDB delivers billion-vector search on tiered storage, metadata filtering that works under real query patterns, and cryptographic tenant isolation — not just namespaces.
Cyborg privacy policy. What we collect, how we use it, and what we never see.
Cyborg terms of service.
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Cyborg makes its Enterprise RAG Blueprint available on build.nvidia.com. The blueprint pairs CyborgDB encryption-in-use with NVIDIA Nemotron and NeMo Retriever for secure, high-performance enterprise RAG workflows.
Nov 2025 · CyborgNews article
CyborgDB begins open-sourcing its client SDKs for Python, TypeScript, JavaScript, and Go. The company says it will open-source the service layer later this year.
Oct 2025 · CyborgNews article
Cyborg and Protopia AI present an approach to building end-to-end private RAG inference pipelines. The approach aims to let enterprises use their data without exposing it during retrieval or inference.
Sep 2025 · ProtopiaNews article