LangKit vs LLM Guard
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, it ensures that your interactions with LLMs remain safe and secure. | It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security. |
Fortify the security of Large Language Models;
Detection of harmful language;
Prevention of data leakage;
Resistance against prompt injection attacks | Text quality;
Relevance metrics;
Sentiment analysis;
A comprehensive tool for LLM observability |
Statistics | |
GitHub Stars - | GitHub Stars 954 |
GitHub Forks - | GitHub Forks 70 |
Stacks 0 | Stacks 0 |
Followers 1 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to LLM Guard, LangKit?
HeimdaLLM
It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.
Rebuff
It is a self-hardening prompt injection detector. It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.
Guardrails AI
It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs).
