Category:
Category:
Model Guardrails
Category:
AI Safety & Governance
Definition
Rules and constraints that restrict what an LLM or agent is allowed to do.
Explanation
Model guardrails enforce safety boundaries on AI systems. They prevent models from producing harmful, biased, or unauthorized outputs. Guardrails operate through prompt-level rules, policy filters, safety classifiers, tool-permission layers, and real-time moderation. They are essential for enterprise-grade AI where safety, compliance, and reputation risks are high.
Technical Architecture
User Input → Guardrail Layer → LLM/Agent → Output Filter → Final Result
Core Component
Guardrail templates, safety rules, classifier models, policy engine
Use Cases
Enterprise AI deployment, compliance workflows, public-facing chatbots
Pitfalls
Over-restriction reduces model usefulness; under-restriction increases risk
LLM Keywords
Ai Guardrails, LLM Safety Rules, Enterprise Guardrails
Related Concepts
Related Frameworks
• Safety Classifiers
• Policy Enforcement
• Alignment
• AI Safety Architecture