Privacy

Raphaël Millet
Members Public

BlindChat - Our Confidential AI Assistant

Introducing BlindChat, a confidential AI assistant prioritizing user privacy through secure enclaves. Learn how it addresses data security concerns in AI applications.

Daniel Huynh
Members Public

Introducing BlindChat Local: ​ Full In-Browser Confidential AI Assistant

Discover BlindChat, an open-source privacy-focused conversational AI that runs in your web browser, safeguarding your data while offering a seamless AI experience. Explore how it empowers users to enjoy both privacy and convenience in this transformative AI solution.

Daniel Huynh
Members Public

Confidential Computing: A History

Here, we provide a deep dive into Confidential Computing, how it can protect data privacy, and where it comes from?

Daniel Huynh
Members Public

Open Source Is Crucial for AI Transparency but Needs More Tooling

AI model traceability is crucial, but open-source practices alone are inadequate. Combining new software and hardware-based tools with open sourcing offers potential solutions for a secure AI supply chain.

Daniel Huynh
Members Public

The AI Act: 9 Key Answers to Get Onboard

On the 14th of June, the AI Act was successfully passed by the EU parliament. We gathered information on this complex piece of legislation for you. Let’s break down how the EU wants to regulate Artificial Intelligence with 10 questions.

Daniel Huynh
Members Public

Ai-Assisted Code Generation With Privacy Guarantees: Securely Deploy SantaCoder With BlindBox on Azure

In this article, we'll demonstrate how you can efficiently analyze code at scale while maintaining privacy. We'll use BlindBox, our open-source secure enclave tooling, to serve StarCoder with privacy guarantees on Azure.

Daniel Huynh
Members Public

Announcing Blindbox, a Secure Infrastructure Tooling to Deploy LLMs, Available on Confidential Containers on Azure Container Instances

We are excited to introduce BlindBox, our latest open-source solution designed to enhance SaaS deployment security. Our tooling enables developers to wrap any Docker image with isolation layers and deploy them inside Confidential Containers.

Corentin Lauverjat
Members Public

BlindAI Passes an Independent Security Audit by Quarkslab

We take security and open-source data privacy seriously at Mithril Security. So we're very proud that our historical confidential computing solution, BlindAI, was successfully audited by Quarkslab!

Corentin Lauverjat
Members Public

Identifying a Critical Attestation Bypass Vulnerability in Apache Teaclave

This vulnerability can be used to mount a Man in the Middle attack. We found a fix that Teaclave implemented following the release of this article.

Raphaël Millet
Members Public

Mithril x Avian: Zero Trust Digital Forensics and eDiscovery

How we partnered with Avian to deploy sensitive Forensic services thanks to Zero Trust Elastic search.

Daniel Huynh
Members Public

Data Science: The Short Guide to Privacy Technologies

If you’re wondering what the benefits and weaknesses of differential privacy, confidential computing, federated learning, etc are, and how they can be combined to improve artificial intelligence and data privacy, you’ve come to the right place.

Charles Chudant
Members Public

Jupyter Notebooks Are Not Made for Sensitive Data Science Collaboration

When collaborating remotely on sensitive data, their usually amazing interactivity and flexibility need safeguards, or whole datasets can be extracted in a few lines of code.