Category:
Category:
Guardrails & Safety
Category:
Governance, Risk & Compliance
Definition
Controls ensuring AI systems behave safely, remain compliant, and avoid harmful actions.
Explanation
Guardrails enforce what models and agents are allowed to say or do. They operate through input filters, output moderation, action restrictions, code execution gates, and policy engines. They are essential for preventing hallucinations, harmful content, unauthorized system access, and accidental tool misuse. Enterprises rely on layered guardrails spanning prompt-level, model-level, workflow-level, and policy-level safety.
Technical Architecture
Input → Policy Layer → LLM/Agent → Safety Filter → Final Output
Core Component
Safety classifiers, policy rules, toxicity filters, security validation, audit logs
Use Cases
Regulated industries, enterprise automation, financial services, healthcare AI
Pitfalls
Overly strict filters blocking good outputs; under-specified policies causing risk
LLM Keywords
AI Guardrails, Safe AI, LLM Policy Enforcement
Related Concepts
Related Frameworks
• Governance
• Evaluation
• Observability
• Policy Enforcement
• Safety Architecture Blueprint