Llama Guard
LLM-based safeguard model ensuring safe human-AI conversations.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Llama Guard, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Llama Guard is a Large Language Model (LLM)-based safeguard developed to ensure safe and appropriate human-AI interactions. It functions by classifying both user inputs and AI-generated outputs to identify and mitigate potential safety risks, such as prompt injections or inappropriate content. The model is instruction-tuned to handle various safety categories and can be customized to align with specific use cases. Llama Guard supports multi-class classification and generates binary decision scores to effectively moderate AI conversations.
Key features
- AI safety
- content moderation
- LLM safeguard
- prompt injection prevention
- human-AI interaction
Use cases
- Ensuring safe and appropriate interactions in human-AI conversations.
- Mitigating prompt injection vulnerabilities in AI systems.
- Classifying and moderating content in AI-generated responses.
- Customizing safety protocols for specific AI use cases.