LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks.
Checked October 2026.
LLM Guard 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 provides a range of features, including prompt scanners, anonymization, and output scanners, to ensure safe and secure interactions with LLMs.
LLM Guard is an open-source solution that is easy to integrate and deploy in production environments, and is designed for easy integration and deployment in production environments.
It is available for download and installation via pip, and is compatible with Python 3.9 or higher.
The tool is constantly being improved and updated, and the community is encouraged to contribute to the package through bug reports, feature requests, and code contributions.
For more information, please refer to the documentation and contribution guidelines.
No core features are listed for this product yet, so check the vendor's documentation for the full feature list.
No integrations are listed for this product yet. Check the vendor's documentation, or ask the vendor which integrations and APIs it supports.
Common questions about LLM Guard: features, pricing and alternatives.
LLM Guard is a product in the LLM Guardrails category. It covers Open Source, Generative AI and Prompt Injection.
LLM Guard is free. Download and setup instructions are at https://github.com/protectai/llm-guard/.
Alternatives to LLM Guard listed on CybersecTools:
Compare all LLM Guard alternatives at https://cybersectools.com/alternatives/llm-guard
LLM Guard is available as on-premises software. It is listed for startups, small businesses, mid-market companies and enterprises. It is free.
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