Our team at @Confi_AI shipped Confidential Agents today. e2e private agents backed by hardware encryption. Ideal for enterprises in regulated industries.
Teams in finance, healthcare, and working on privacy-sensitive tasks with AI get stuck with clunky on-prem workarounds.
Why? Because the only thing protecting their data in a cloud is a legal agreement. That’s not enough.
We're fixing that today with Confidential Agents. 🧵
Teams in finance, healthcare, and working on privacy-sensitive tasks with AI get stuck with clunky on-prem workarounds.
Why? Because the only thing protecting their data in a cloud is a legal agreement. That’s not enough.
We're fixing that today with Confidential Agents. 🧵
What's really cool about confidential inference: you actually get stronger security guarantees than on-prem deployments, while enjoying off-prem convenience.
This is what actually-private AI inference looks like.
Prompt encrypted on your device, decrypted only inside a hardware-attested enclave. Cloud, hypervisor, host OS, vendor: all see ciphertext.
Two places hold plaintext: your device and the enclave. Everything else is locked out by hardware.
New paper from the team at @Confi_AI: Kettle, Attested Builds.
Run the build inside a TEE. Staple a hardware-signed attestation of the pipeline, inputs, and outputs to the artifact.
Provenance down to the git commit.
https://t.co/PwrzwnwhSU
Accepted into NVIDIA Inception.
Confidential runs AI inside TEEs. Private inference. Private weights. Private training. Verifiable end to end.
Now with closer ties to the GPU stack underneath it all.
#NVIDIAInception
AI workloads on shared infrastructure have a three-body problem.
Artifact owners, compute providers, and end users all need confidentiality from each other.
Today my team at @Confi_AI published C8s, a confidential Kubernetes architecture that solves it.
If your agents touch sensitive customer data, internal tools, prod systems, or proprietary prompts, this matters.
Anyone building agents for finance, healthcare, government or legal should take PrivateClaw for a spin.
Your AI agents are running on someone else's computer.
And that someone can read everything.
Today we're changing that. PrivateClaw is live.
Privacy-first AI agent hosting. Hardware-verified.
https://t.co/xPgDz9HUbu
✨ im thrilled to share that the swiss ritter of randomness, @AnomalRoil, joins our merry band of misfits at @Confi_AI 🎉
he and batman have never been seen in the same room at the same time. just sayin'.
Excited to launch a new podcast dedicated to conversations on the future of neurotech, computing, intelligence, and more.
First guest: @maxhodak_ founder & CEO of @ScienceCorp_, which is building PRIMA, a retinal prosthetic that’s restoring meaningful vision for patients with blindness caused by age-related macular degeneration.
Science is also developing a biohybrid brain implant that grows living neurons directly onto a silicon chip, then interfaces that system with the cortex. The possibility space here is vast and new. Imagine growing new areas of the brain.
Sections
00:00 What counts as neurotech?
01:45 History of brain-computer interfaces and the smartphone dividend
07:25 PRIMA - How Science is restoring vision in blind patients
10:10 Why stimulating bipolar cells works when the optic nerve doesn't
30:30 Are we bottlenecked by biology or engineering?
32:40 Expanding the brain's bandwidth beyond 10 bits per second
37:00 Can we add new areas to the brain?
37:46 Biohybrid BCIs: neurons growing on a chip
39:20 What could neural augmentation look like?
01:13:20 How Science drives Fast R&D
01:44:00 How founders learn and level up
This is the kind of discussion I’m excited to explore on this podcast. Enjoy!
Full Episode 1 here and in links below.
I'm in SF this week around HumanX. If you're thinking about private inference, secure model deployment, or confidential computing, I'd love to talk about what we are up to at @Confi_AI
TEEs are the answer. Lunal makes deploying AI onto Trusted Execution Environments trivial. The first lab to offer private inference as a service tier will trigger a domino effect. If you're building in this space or need this now - reach out. https://t.co/43H2Cr35uH
AI is the most powerful technology of our lifetimes. Right now it's being built in a way that concentrates power, data and trust in a handful of companies. I've spent my career pushing against that. Today I joined @LunalDotDev as part of the founding team. 🧵
Three parties all have the same problem: companies won't send proprietary data to LLMs. Labs need their model weights secure. Hyperscalers need both to trust them. Three parties, one shared need: end-to-end AI privacy.
But there is room for improvement. The opportunity now: build AI agents that take sovereignty seriously.
Sovereignty + convenience as co-equal goals. Private inference seems to be the next big unlock.