Why guardrails matter
A model that produces great demos can still fail silently in production. Guardrails are the safety layer between your LLM and end users.
Layers of protection
- Input classifiers — detect prompt injection, jailbreaks, and out-of-scope requests before they hit the model.
- Output filters — PII scrubbing, toxicity scoring, factual-consistency checks.
- Semantic routing — direct queries to the right sub-system rather than one monolithic prompt.
- Evals & monitoring — continuous regression testing so regressions surface before users notice.