collaboration

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.

rust

Rust: How We Built a Privacy Framework for Data Science

We could have built our privacy framework BastionLab in any language - Python for example which is data science’s beloved. But we chose Rust because of its efficiency and security features. Here are the reasons why we loved doing so, but also some challenges we encountered along the way.

Privacy Enhancing Technologies Featured

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.

bastionlab

How Python Data Science Libraries Can Be Hijacked (and What You Can Do About It)

Hackers can easily hijack the data science libraries you use everyday and get full access to the datasets you are working with. Data owners need tools to prevent it from happening.

bastionlab

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.

bastionlab Featured

Introducing BastionLab - A simple privacy framework for data science collaboration

BastionLab is a simple privacy framework for data science collaboration. It lets data owners protect the privacy of their datasets and enforces that only privacy-friendly operations are allowed on the data and anonymized outputs are shown to the data scientist.

roadmap

Our roadmap to build a simple privacy toolkit for data science collaboration

One year and a half later, Mithril Security’s roadmap has transformed significantly, but our initial goal stayed the same: democratizing privacy in data science.

blindai

Announcing BlindAI 0.5 with Cloud support

BlindAI 0.5 is now available with many new features such as Cloud support!

blindai

Deploy Zero-trust Diagnostic Assistant for Hospitals

While the benefits that AI could bring to hospitals could save lives, hospitals are still struggling to adopt these solutions due to privacy and security concerns. With BlindAI and BastionAI, image recognition tools hosted in the cloud can be used without exposing hospital data to any third party, unlocking new

bastionlab Featured

Introducing BastionAI, an open-source privacy-friendly AI training framework in Rust

Discover BastionAI, a Rust project for Confidential deep learning training. BastionAI leverages Confidential Computing and Differential Privacy to make AI training between multiple parties more privacy-friendly

announcement

Mithril Security joins the Confidential Computing Consortium

Mithril Security joins the Confidential Computing Consortium to accelerate open-source privacy friendly AI

blindai Featured

Presenting Mithril Cloud, the first Confidential AI as a Service offering

Discover how BlindAI Cloud enables you to deploy and query AI models with privacy, just from 2 lines of Python code. Try our solution with the deployment of a ResNet model.

blindai

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.

rust Featured

Insights of porting Hugging Face Rust Tokenizers to WASM

Learn how Rust can be used to port server side logic, like Hugging Face Tokenizers, to the client for security and performance using WASM.

blindai

Build a privacy-by-design voice assistant with BlindAI

Discover how BlindAI can make AI voice assistant privacy-friendly!

blindai Featured

Introducing BlindAI, an open-source privacy-friendly AI deployment in Rust

Discover BlindAI, an open-source solution for privacy-friendly AI deployment in Rust!

regulation

What to expect from the EU AI Regulation?

A view on the key upcoming EU regulations, and how these are likely to affect data and AI industry practices.

blindai Featured

Confidential medical image analysis with COVID-Net and BlindAI

Deploy medical image analysis with confidentiality thanks to BlindAI

Privacy Enhancing Technologies

Confidential computing explained. Part 3: data in use protection

Deep dive into the data-in-use protection mechanisms of secure enclaves

roadmap

Our roadmap at Mithril Security

Our roadmap at Mithril Security to commoditize Confidential AI

blindai Featured

Deploy Transformers models with confidentiality

Learn how to deploy Transformers models, with privacy guarantees thanks to Confidential Computing!

Privacy Enhancing Technologies

Confidential computing explained. Part 2 : attestation

An introduction to remote attestation, which is the key to trust a remote enclave.

Privacy Enhancing Technologies

Confidential computing explained. Part 1: introduction

An introduction to Confidential Computing and the problems it solves

announcement

This is Mithril Security

A small presentation of our project and team