LLM Guard is a toolkit designed to fortify the security of Large Language Models (LLMs). It is designed for easy integration and deployment in production environments. It provides extensive evaluators for both inputs and outputs of LLMs, offering sanitization, detection of harmful language and data leakage, and prevention against prompt injection and jailbreak attacks. LLM Guard was developed for a straightforward purpose: Despite the potential for LLMs to enhance employee productivity, corporate adoption has been … More →

The post LLM Guard: Open-source toolkit for securing Large Language Models appeared first on Help Net Security.