LLM Guard
FreeThe Security Toolkit for LLM Interactions
FreeFree tier
Inputs: textOutputs: text
About LLM Guard
LLM Guard by Protect AI is a comprehensive open-source toolkit designed to fortify the security of Large Language Models (LLMs). It provides input and output sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks. The toolkit includes a wide range of scanners for both prompts and outputs, such as toxicity detection, anonymization, secrets detection, topic banning, factual consistency checking, and malicious URL detection. It is designed for easy integration into production environments and can be installed via pip.
Key Features
Comprehensive prompt and output scanners for security
Prompt injection detection and prevention
Anonymization and deanonymization of sensitive data
Toxicity and sentiment analysis for harmful language detection
Secrets detection (e.g., API keys, passwords)
Ban code, topics, substrings, and competitors
Factual consistency checking for outputs
Malicious URL and gibberish detection
Language detection and enforcement
Token limit enforcement and reading time estimation
Pros & Cons
Pros
- Open source and free to use
- Comprehensive set of security scanners for both input and output
- Easy integration via pip install and API deployment
- Designed for production environments with minimal overhead
- Active community and documentation support (while maintained)
Cons
- Project is archived and no longer actively maintained
- Requires Python 3.9 or higher
- Advanced features may require additional libraries
Best For
Securing LLM-powered applications and chatbotsPreventing prompt injection attacksDetecting and filtering toxic or harmful language in model inputs and outputsSanitizing user inputs to prevent data leakageEnsuring compliance with content policies and regulationsMonitoring and moderating LLM outputs in production
FAQ
What is LLM Guard?
LLM Guard by Protect AI is a comprehensive open-source tool designed to fortify the security of Large Language Models (LLMs). It offers sanitization, harmful language detection, data leakage prevention, and prompt injection resistance.
How do I install LLM Guard?
Install using pip: pip install llm-guard. Make sure you have Python 3.9 or higher installed.
Is LLM Guard still maintained?
As of the latest information, the repository has been archived and is no longer under active development or maintenance.