Sunder: A Rust-Based Local Privacy Firewall for LLMs
Sunder is a local privacy firewall for AI chat interfaces, designed to run as a Chrome extension. This tool, created using Rust and compiled to WebAssembly, intercepts your input before it's sent over the network, stripping out sensitive information like emails, transaction IDs, and more. Sunder operates under a zero-trust model, assuming all providers may store your data, thereby preemptively anonymizing it by replacing sensitive information with tokens.
Key Details
- Privacy Model: Uses a zero-trust approach to ensure data protection, replacing sensitive information such as
[email protected]with[EMAIL_1]before sending it to an LLM. - Local Operations: All actions are performed locally in your browser using Rust compiled to WebAssembly, ensuring no network calls are made for privacy processing.
- Extension Framework: Built on the Plasmo framework, a React-based Chrome extension platform.
- Storage: Features a 100% local in-memory "Identity Vault" for secure data handling.
- Compatibility: Currently supports ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Copilot. Additionally, there's support for a local dashboard with Ollama, enabling full air-gap operation.
Sunder is suitable for anyone concerned with maintaining privacy when using AI services by keeping sensitive data local and ensuring AI models work with anonymized inputs.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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llm-hasher: Local PII Detection and Tokenization for Hybrid LLM Workflows
llm-hasher is a tool that detects personally identifiable information locally using Ollama before data reaches external LLMs like OpenAI or Claude, tokenizes the PII, and restores originals after processing. It uses regex for structured data types and a local LLM for contextual detection, with encrypted storage for mappings.
Chinese AI Companies Running Malicious Distillation Campaigns Against US Firms: DoD CSA
A new DoD CSA report reveals Chinese AI companies are conducting malicious distillation campaigns to steal US AI models, targeting commercial AI products and open-source frameworks.
KnightClaw: Local Security Extension for OpenClaw Agents
KnightClaw is a drop-in extension that intercepts messages before they reach OpenClaw agents, providing an 8-layer hybrid detection system and egress redaction. It runs entirely local with zero telemetry and is MIT licensed.