---
title: "NeMo Guardrails"
description: "1 posts about NeMo Guardrails, summarised, each linking to the original."
---

# NeMo Guardrails
> 1 posts about NeMo Guardrails, summarised, each linking to the original.

## Articles

### [Developing LLM guardrail configs locally with NeMo Guardrails](https://yomu.fyi/post/developing-llm-guardrail-configs-locally-with-nemo-guardrails.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Rob Geada
- Published: Sep 1, 2026

The article presents a local workflow for developing and testing NeMo Guardrails configurations in a Jupyter notebook, avoiding repeated Kubernetes deployments and requiring no LLM, GPU, or cloud resources. It defines rails, configurations, and servers, then starts with a case-insensitive regex rail that blocks the exact phrase “ignore all previous instructions”; the test catches a direct attack but allows an accented “Ignóre” variant. A broader regex configuration is followed by a DeBERTa-based prompt-injection classifier and a manually assembled set of 13 prompts, producing 12 correct decisions out of 13, with one subtle attack allowed. The article recommends iterating locally, potentially layering targeted regexes before classifiers for fail-fast, defense-in-depth filtering, while noting that 13 prompts cannot meaningfully measure performance and pointing to standardized EvalHub evaluations as a next step.