LLM Guard - LLM Security Tool

Basic Information

• Company/Brand: Protect AI (formerly Laiyer AI)
• Founder: Protect AI Team
• Country/Region: USA
• Official Website: https://protectai.com/llm-guard
• GitHub: https://github.com/protectai/llm-guard
• Type: Open-source LLM Security Toolkit
• Founded: 2023
• License: MIT

Product Description

LLM Guard is an open-source AI security toolkit launched by Protect AI, designed to scan LLM inputs and outputs for security and compliance risks. It offers 15 input scanners and 20 output scanners, covering comprehensive security detection from prompt injection to PII anonymization to toxicity filtering. LLM Guard can be deployed on any LLM, including GPT, Llama, Mistral, Falcon, and supports any LLM framework. It has garnered 2.5k Stars on GitHub.

Core Features/Characteristics

• 15 Input Scanners: Prompt injection detection, PII anonymization, toxicity filtering, etc.
• 20 Output Scanners: Sensitive data detection, bias detection, factual consistency checks, etc.
• Prompt Injection Defense: Detects and prevents prompt injection attacks
• PII Anonymization: Automatically detects and anonymizes personally identifiable information
• Secret Detection: Detects sensitive information such as API keys and passwords in inputs/outputs
• Malicious URL Blocking: Identifies and blocks malicious links
• Bias Detection: Detects bias in model outputs
• Data Leakage Prevention: Prevents sensitive data leakage through LLMs

Business Model

• Open-source Version: MIT license, completely free
• Protect AI Platform (Coming Soon): Commercial version with extended features and integrations
• Enterprise Version: Advanced features, enterprise-level support

Deployment Methods

• pip installation (requires Python 3.10+)
• Standalone API server deployment
• Direct integration into Python applications
• Supports any LLM and framework (Azure OpenAI, Bedrock, LangChain, etc.)

Target Users

• LLM application security engineers
• Enterprises requiring compliant AI applications
• Organizations handling sensitive data (healthcare, finance, etc.)
• AI application developers
• Teams needing PII protection

Competitive Advantages

• 35 scanners (15 input + 20 output), the most comprehensive coverage
• MIT license, fully open-source
• Modular design, allows selecting scanners as needed
• Supports all major LLMs and frameworks
• Plug-and-play, simple API integration
• Protect AI background provides enterprise-level credibility

Comparison with Competitors

Relationship with OpenClaw Ecosystem

LLM Guard is the most comprehensive LLM security scanning toolkit in the OpenClaw ecosystem. Its 35 scanners can provide comprehensive security protection at the input and output ends of OpenClaw AI agents, including PII anonymization, prompt injection defense, toxicity filtering, and data leakage prevention. The MIT license allows unlimited integration into OpenClaw's open-source and commercial deployments. The modular design enables selecting necessary scanners based on specific scenarios, balancing security and performance.