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.
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.
Introducing BlindChat, a confidential AI assistant prioritizing user privacy through secure enclaves. Learn how it addresses data security concerns in AI applications.
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.
Here, we provide a deep dive into Confidential Computing, how it can protect data privacy, and where it comes from?
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.
Comparison of prompt injection & supply chain poisoning attacks on AI models, with a focus on a bank assistant. Prompt injection has a limited impact on individual sessions, while supply chain poisoning affects the entire supply chain, posing severe risks.
Discover confidential computing with our tutorials. Fill the knowledge gap, become proficient in secure enclaves, and craft applications with their strengths. Join us to become a Confidential Computing wizard! Dive into our content and start your journey today.
How we partnered with Tramscribe to leverage LLMs deal with Medical voice notes analysis
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.
Improving Hospital Diagnoses: How BlindAI and BastionAI Could Assist