Choosing your GPU stack to deploy Confidential AI
In this article, we provide you with a few hints on how to choose your stack to build a confidential AI workload leveraging GPUs. This protection is meant to safeguard data privacy and model weights confidentiality.
Mithril Security Summer Update: Progress and Future Plans
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.
Apple Announcing Private Cloud Compute
Apple has announced Private Cloud Compute (PCC), which uses Confidential Computing to ensure user data privacy in cloud AI processing, setting a new standard in data security.
Mithril Security is supported by OpenAI Cybersecurity Grant to build Confidential AI.
Mithril Security has been awarded a grant from the OpenAI Cybersecurity Grant Program. This grant will fund our work on developing open-source tooling to deploy AI models on GPUs with Trusted Platform Modules (TPMs) while ensuring data confidentiality and providing full code integrity.
Technical collaboration with the Future of Life Institute: developing hardware-backed AI governance tools
The article unveils AIGovTool, a collaboration between the Future of Life Institute and Mithril, employing Intel SGX enclaves for secure AI deployment. It addresses concerns of misuse by enforcing governance policies, ensuring protected model weights, and controlled consumption.
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.
Privacy Risks of LLM Fine-Tuning
This article explores privacy risks in using large language models (LLMs) for AI applications. It focuses on the dangers of data exposure to third-party providers during fine-tuning and the potential disclosure of private information through LLM responses.
Our Journey To Democratize Confidential AI
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.
Our Roadmap for Privacy-First Conversational AI
In September 2023, we released the first version of BlindChat, our confidential Conversational AI. We were delighted with the collective response to the launch: BlindChat has been gaining traction on Hugging Face over the past few weeks, and we've had more visitors than ever before But this local,
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.
Introducing BlindLlama, Zero-Trust AI APIs With Privacy Guarantees & Traceability
Introducing BlindLlama: An open-source Zero-trust AI API. Learn how BlindLlama ensures confidentiality and transparency in AI deployment.
Confidential Computing: A History
Here, we provide a deep dive into Confidential Computing, how it can protect data privacy, and where it comes from?