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NVIDIA NeMo Guardrails vs Vigil Guard

NVIDIA NeMo Guardrails

developer.nvidia.com

Vigil Guard

vigilguard.ai

Side by side

FigureNVIDIA NeMo GuardrailsVigil Guard
Price fromFree—
Free planYes—
Free trial—Yes
Open sourceYes—
WindowsYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published33
Spec score · LLM Security Tools8.6 (#4)7.4 (#14)
DeploymentThe library can run in a self-managed Python environment, while the separate NeMo Guardrails microservice uses a container image and Kubernetes with Helm.Vigil Guard Enterprise deploys with Docker Compose on a Linux x86_64 host and supports fully air-gapped operation with no external calls or telemetry.
HeadquartersSanta Clara, California, United StatesWarsaw, Poland
IntegrationsThe documentation lists integrations with NVIDIA safety models, community models, third-party APIs, Python actions, and LangChain tools.The maker lists integrations with Splunk, QRadar, Sentinel, Elastic SIEM, n8n, LiteLLM, and a Python SDK with REST access.
Intended usersThe library is presented for developers and teams building LLM applications who need configurable policy enforcement and safety checks.The maker describes Security Teams, AI/Platform Teams, and Risk & Compliance teams as target users.

Plans

NVIDIA NeMo Guardrails

  • Open-source NeMo Guardrails libraryFree
  • Open-source NeMo Guardrails libraryFree
  • NeMo Guardrails microservicePriced on request

NVIDIA NeMo Guardrails pricing →

Vigil Guard

  • EnterprisePriced on request
  • GrowthPriced on request
  • StarterPriced on request

Vigil Guard pricing →

In their own words

NVIDIA NeMo Guardrails

NVIDIA NeMo Guardrails is an open-source Python package for adding programmable policy and safety checks to applications built with large language models. It can block, alter, or validate inputs and model responses that are unsafe, off-topic, malicious, or against configured policies. Its rails cover input, retrieval, dialog, execution, and output stages. Developers can configure behavior with YAML files, Colang flows, built-in guardrails, and custom actions. The catalog includes content safety, jailbreak protection, topic control, PII detection, agentic security, tool calling, hallucination and fact-checking, and model self-checks. Applications can use the Python SDK or a Guardrails server with HTTP endpoints such as OpenAI-style chat completions. The library supports Windows, Linux, and macOS, and can run in a self-managed Python environment. The installation guide lists Python 3.10 through 3.13 and at least one CPU with 4GB RAM; external models may require separately deployed GPUs. The open-source library costs nothing, though external models and services may need separate setup. NVIDIA cautions that no single rail covers every adversarial prompt and advises defense in depth and evaluation.

Visit developer.nvidia.com

Vigil Guard

Vigil Guard has no write-up on Specifiction yet; its figures are above.

Visit vigilguard.ai