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.
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 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.
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.
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
Mithril Security joins the Confidential Computing Consortium to accelerate open-source privacy friendly AI
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.
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.
Learn how Rust can be used to port server side logic, like Hugging Face Tokenizers, to the client for security and performance using WASM.
Discover how BlindAI can make AI voice assistant privacy-friendly!
Discover BlindAI, an open-source solution for privacy-friendly AI deployment in Rust!
Deploy medical image analysis with confidentiality thanks to BlindAI