Privacy
Introducing BlindChat: Full in-browser confidential AI assistant
Discover BlindChat, an open-source privacy-focused ChatGPT alternative 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.
Confidential Computing: A History
Here, we provide a deep dive into Confidential Computing, how it can protect data privacy, and where it comes from?
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.
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.
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.
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.
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!
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.
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.
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.
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.
Large Language Models and privacy. How can privacy accelerate the adoption of big models
We will see why security and privacy might facilitate the adoption of Large Language Models, as those vast models push towards centralisation, given the complexity of deploying them at scale.