Llm-Guard

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llm-guard is a Coding & Development tool that fortifies the security of Large Language Models (LLMs). It offers sanitization, detection of harmful language, and prevention of data leakage and prompt injection attacks.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is llm-guard?

LLM Guard by Protect AI is a comprehensive open-source security toolkit designed to enhance the safety and security of interactions with Large Language Models (LLMs). It provides robust features for sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks. The tool ensures that LLM interactions remain secure and reliable, making it suitable for integration into production environments. It supports a wide array of prompt and output scanners, including Anonymize, BanCode, PromptInjection, Secrets, Toxicity, and MaliciousURLs, among others. LLM Guard is continuously updated and designed for easy integration, requiring Python 3.9 or higher.

Best used for

Ideal for developers and data scientists who need to secure their LLM applications, prevent prompt injection attacks, and detect sensitive information in AI interactions. Especially valuable for integrating robust security measures into production LLM environments.

Common actions

secure LLM interactions

prevent prompt injection

detect sensitive data

fortify AI security

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Capabilities

Key features

Sanitize LLM inputs
Detect harmful language
Prevent data leakage
Resist prompt injection
Scan prompts
Scan outputs

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of attacks does LLM Guard protect against?

LLM Guard is designed to protect against various threats including prompt injection attacks, data leakage, and the generation or detection of harmful language. It also helps in sanitizing inputs and outputs to ensure secure and reliable LLM interactions.

What are the system requirements for running LLM Guard?

To use LLM Guard, you need to have Python version 3.9 or higher installed. The base functionality requires a limited number of libraries, with additional libraries automatically installed as you explore more advanced features.

Can LLM Guard be integrated into existing production environments?

Yes, LLM Guard is specifically designed for easy integration and deployment in production environments. It offers a comprehensive toolkit to fortify the security of Large Language Models within your existing infrastructure.

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Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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