Today, Brave Leo offers a new capability for cryptographically-verifiable privacy and transparency by deploying LLMs with NEAR AI Nvidia-backed Trusted Execution Environments (aka “TEEs”, see “Know more about TEEs” section below for details). Brave believes that users must be able to verify that they are having private conversations with the model they expect. This is available in Brave Nightly (our testing and development channel) for early experimentation with DeepSeek V3.1 (we plan to extend this to more models in the future based on feedback).
By integrating Trusted Execution Environments, Brave Leo moves towards offering unmatched verifiable privacy and transparency in AI assistants, in effect transitioning from the “trust me bro” process to the privacy-by-design approach that Brave aspires to: “trust but verify”.
Brave believes in user-first AI
Leo is the Brave browser’s integrated, privacy-preserving AI assistant. It is powered by state-of-the-art LLMs while protecting user privacy through a privacy-preserving subscription model, no chats in the cloud, no context in the cloud, no IP address logging, and no training on users’ conversations.
Brave believes that users must be able to:
