Compare LLM Guard to these popular alternatives based on real-world usage and developer feedback.

It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.

It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security.

It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs).

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.