LLM Guardrails and Safety in Production AI Systems

Last post covered evaluation, monitoring, and model degradation. This one covers guardrails - how you prevent LLMs from hallucinating, leaking data, following malicious instructions, or generating harmful content in production systems. LLMs generate probabilistic outputs. In healthcare, finance, or legal - any regulated domain - you can’t have the model hallucinating symptoms, giving medical advice it shouldn’t, or producing content that causes harm. Guardrails are the safety net between what the model generates and what reaches the user.