Mithril Security's latest update outlines advancements in confidential AI deployment, emphasizing innovations in data privacy, model integrity, and governance for enhanced security and transparency in AI technologies.
This article provides insights into Mithril Security's journey to make AI more trustworthy and their perspective on addressing privacy concerns in the world of AI, along with their vision for the future.
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.
Introducing BlindLlama: An open-source Zero-trust AI API. Learn how BlindLlama ensures confidentiality and transparency in AI deployment.
Generative AI is revolutionizing enterprises with enhanced efficiency and customer satisfaction. The article explores real-world applications and deployment options like SaaS, on-VPC commercial FMs, and on-VPC open-source FMs, emphasizing the need for data protection.
With BlindBox, you can use Large Language Models without any intermediary or model owner seeing the data sent to the models. This type of solution is critical today, as the newfound ease-of-use of generative AI (GPT4, MidJourney, GitHub Copilot…) is already revolutionizing the tech industry.
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!
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.
Mithril Security joins the Confidential Computing Consortium to accelerate open-source privacy friendly AI
Our roadmap at Mithril Security to commoditize Confidential AI
A small presentation of our project and team