Enterprise LLM safety requires more than deploying powerful generative AI models—it demands a structured framework of guardrails, governance, and continuous threat mitigation. LLM guardrails help organizations control unsafe outputs, prevent prompt injection, reduce hallucinations, protect sensitive data, and enforce enterprise security and compliance policies. Governance frameworks establish clear accountability, model usage standards, approval processes, risk classification, and monitoring requirements across the AI lifecycle