Notes on Secure AI.
Releases, interviews, and deep dives on building AI that respects the data it touches.
CYBORGBlueprint: Secure RAG Workflows Without Sacrificing AI Performance
The Cyborg Enterprise RAG Blueprint, now on build.nvidia.com, pairs CyborgDB encryption-in-use with NVIDIA Nemotron and NeMo Retriever for secure, high-performance enterprise RAG.
CYBORGOpenSSL Conference 2025: End-to-End Encrypted Vector Databases
Nicolas Dupont's OpenSSL Conference 2025 talk on building end-to-end encrypted vector databases — keeping embeddings, queries, and retrieval encrypted at every step.
CYBORGNYSE Wired Interview with Cyborg CEO
NYSE Wired sits down with Cyborg CEO Nicolas Dupont to talk confidential AI, encrypted vector search, and how regulated industries can finally adopt AI safely.
CYBORGConfidential Computing Summit 2025: The Missing Piece for Confidential AI
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.
CYBORGTenant Isolation Keeps Breaking in Vector Databases
On June 12, ChromaDB disclosed four tenant isolation CVEs in a single coordinated advisory — the clearest signal yet that application-layer isolation is not an architectural solution.
CYBORGCyborgDB Teaser
A short look at what we're building at Cyborg this quarter — confidential AI, encrypted vector search, and what's coming next.
CYBORGCyborg Partners with Austin AI to Deliver End-to-End Secure AI in Production
Cyborg and Austin Artificial Intelligence announce a partnership to deliver end-to-end secure AI in production, combining Cyborg's encrypted vector search with Austin AI's secure inference platform.
CYBORGRSA 2026: Why Vector DBs Are an AI Security Blind Spot
Cyborg CEO Nicolas Dupont explains why vector databases have quietly become one of the most exploitable surfaces in enterprise AI — and what it takes to actually secure them.
CYBORGRSA 2026: Your Vector DB Might Be a Weak Link in Your Security Strategy
Information Security Media Group catches up with Cyborg CEO Nicolas Dupont at RSAC 2026 to talk about the state of confidential AI and why data privacy in AI pipelines is now a boardroom conversation.
CYBORGGTC 2026: Nicolas Dupont on Securing the Vector Database
Nicolas Dupont breaks down the unique security challenges of vector databases and how Cyborg is solving them with encryption that works at query time — without sacrificing performance.
CYBORGThe Right Vector Database Is a Threat Model Question, Not a Scale Question
Choosing between in-process vector DBs and CyborgDB isn't about scale or ops overhead — it's about your threat model, and most comparisons get this wrong.
CYBORGAI Has a Memory Problem. We're Fixing It.
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.
CYBORGYour OpenClaw Agent Remembers Everything. So Would an Attacker.
OpenClaw stores conversations and personal data as plaintext embeddings — a semantic index of your life that any attacker who breaches the host can reconstruct.
CYBORGHow NVIDIA's CES 2026 Breakthroughs Accelerate the Encryption-in-Use Mandate
NVIDIA's CES 2026 keynote made encryption-in-use feasible at AI scale — and made it mandatory for any regulated enterprise centralizing data into vector memory.
CYBORGWhy We Don't Use Homomorphic Encryption (And Why You Shouldn't Require It)
Homomorphic encryption is elegant in theory but 1,000–10,000x slower in practice and lacks FIPS certification — making it unsuitable for production AI workloads today.
CYBORGHow Developers Are Rethinking AI Security: Lessons from the CyborgDB Hackathon
Phase 1 hackathon winners across fintech, healthcare, and enterprise show what AI architecture looks like when encryption is treated as a foundation, not an afterthought.
CYBORGWhen Authentication Isn't Enough: Lessons from Milvus CVE-2025-64513
A critical Milvus auth bypass (CVSS 9.3) exposes a deeper truth: authentication controls who gets in, but only encryption controls what they can do once inside.
CYBORGAI Espionage: Why Vector Database Security Just Became Mission-Critical
Anthropic disrupted the first AI-orchestrated cyber espionage campaign — and centralized vector databases are now the highest-value target in the new threat landscape.
CYBORGBlueprint: Secure RAG Workflows Without Sacrificing AI Performance
The Cyborg Enterprise RAG Blueprint, now on build.nvidia.com, pairs CyborgDB encryption-in-use with NVIDIA Nemotron and NeMo Retriever for secure, high-performance enterprise RAG.
CYBORGThe Cyborg Hackathon: Build Real-Time Encrypted AI
$10,000 in prizes across two phases — we're challenging developers to build production AI systems on fully encrypted vector search. Registration closes November 23.
CYBORGCyborg & Redpanda: Secure Streaming Pipelines for Enterprise AI
Cyborg joins Redpanda's 'Hello, Agent' podcast to talk through how to build secure, real-time streaming pipelines that keep enterprise AI data encrypted end-to-end.
CYBORGStarting Our Open Source Journey
We're open-sourcing CyborgDB, starting with our Python, TypeScript, JavaScript, and Go client SDKs today — with the service layer to follow later this year.
CYBORGOpenSSL Conference 2025: End-to-End Encrypted Vector Databases
Nicolas Dupont's OpenSSL Conference 2025 talk on building end-to-end encrypted vector databases — keeping embeddings, queries, and retrieval encrypted at every step.
CYBORGNYSE Wired Interview with Cyborg CEO
NYSE Wired sits down with Cyborg CEO Nicolas Dupont to talk confidential AI, encrypted vector search, and how regulated industries can finally adopt AI safely.
CYBORGVector Embeddings Are Not One-Way Hashes
Embeddings aren't anonymized — inversion attacks can reconstruct original text and images from vectors, meaning your embedding store deserves the same rigor as raw data.
CYBORGSecure AI Inference Pipelines with Cyborg & Protopia AI
Cyborg and Protopia AI partner to lock down end-to-end AI inference pipelines — protecting prompts, embeddings, and retrieval from exposure at every step.
CYBORGYour Enterprise AI Application Is a Security Time Bomb
Centralizing enterprise data into a vector database makes AI smarter — and creates a single high-value breach target whose fallout dwarfs any traditional database leak.
CYBORGConfidential Computing Summit 2025: The Missing Piece for Confidential AI
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.
CYBORGCiphering Intelligence: The Future of AI Encryption
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.
CYBORGWhat is Confidential AI? (And Why It Matters)
Confidential AI keeps data encrypted through every stage of inference — combining trusted execution environments and confidential vector databases to close the plaintext gap.
CYBORGIntroducing CyborgDB
Meet CyborgDB — the first Confidential Vector Database that keeps embeddings end-to-end encrypted at rest, in transit, and even during inference.
CYBORGBringing Confidentiality to Vector Search with Cyborg and NVIDIA cuVS
Cyborg teams up with NVIDIA cuVS to bring GPU-accelerated vector search to confidential workloads — encrypted embeddings, compliant inference, no performance compromise.
CYBORGHello Stealth, Goodbye Beta
After 12 months and 40,000 beta testers, Stealth is generally available — bringing zero-knowledge end-to-end encrypted cloud storage, team files, and link sharing.
CYBORGHow Stealth's Encrypted Search Works
A look under the hood at the cryptographic indexing, hashing, and trapdoor functions that let Stealth search end-to-end encrypted data without ever decrypting it.
CYBORGWhat is End-to-End Encryption?
A plain-English breakdown of end-to-end encryption — what makes it different from encryption-in-transit, and why it's the gold standard for protecting your data.
CYBORGWhat is Encrypted Search?
Encrypted search has long been the holy grail of cryptography — keep data unreadable to the server while still letting users find what they're looking for.
CYBORGWhy We Care About Data Privacy
When you waive digital privacy you're not just giving up data — you're handing tech companies the leverage to shape what you buy, watch, and ultimately think.