How Sandboxes for LLMs Work: A Comprehensive Technical Guide
Large Language Model (LLM) sandboxes are isolated, secure environments designed to run powerful AI models while protecting user data, preventing unauthorized access, and mitigating risks like code execution vulnerabilities. These setups enable safe experimentation, research, and deployment of LLMs in institutional or enterprise settings.[1][2][3] What is an LLM Sandbox? An LLM sandbox creates a controlled “playground” for interacting with LLMs, shielding sensitive data from external providers and reducing security risks. Unlike direct API calls to cloud services like OpenAI, sandboxes often host models locally or in managed cloud instances, ensuring inputs aren’t used for training vendor models.[2] ...