Security toolkit for LLM interactions
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LLM Guard is a security toolkit designed to protect Large Language Model (LLM) interactions from various threats, including prompt injection, data leakage, and harmful language. It offers sanitization and detection capabilities, making it suitable for developers and organizations deploying LLMs in production environments.
How It Works
LLM Guard employs a modular design with "scanners" that analyze both prompts and LLM outputs. It supports a wide range of predefined scanners for tasks like anonymization, toxicity detection, and identifying sensitive information, alongside custom regex-based checks. This approach allows for flexible and extensible security policies tailored to specific LLM applications.
Quick Start & Requirements
pip install llm-guard
Highlighted Details
Maintenance & Community
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