Production-Level LLM Safety and Privacy Guardrails Family: GLiNER Guard (GLiGuard)
Towards AI
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Generative AI
NLP
AI Safety
AI Research
A unified encoder for safety moderation and PII detection in a single forward pass, built on top of GLiNER2. 📄 Paper · 🤗 Models Guardrails in an agentic LLM application 5 classifiers × 4 hops = 20 forward passes per request Same application after GLiNER Guard (GliGuard) Most production LLM apps end up with a Guardrail zoo of classifiers and NER. GLiNER Guard (GLiGuard) collapses that into one schema-driven encoder. The Problem Running an LLM in production requires safety moderation and PII detection - at minimum.