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NVIDIA NeMo Guardrails vs PromptGuard

NVIDIA NeMo Guardrails

developer.nvidia.com

PromptGuard

promptguard.co

Side by side

FigureNVIDIA NeMo GuardrailsPromptGuard
Price fromFree$19/mo
Free planYesYes
Free trial——
Open sourceYes—
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published38
Spec score · LLM Security Tools8.6 (#4)8.9 (#2)
Spec score · AI Guardrail Software8.6 (#3)8.7 (#2)
DeploymentThe library can run in a self-managed Python environment, while the separate NeMo Guardrails microservice uses a container image and Kubernetes with Helm.The product offers managed cloud, hybrid self-hosting, and air-gapped deployment; air-gapped licences validate offline with a signed key.
IntegrationsThe documentation lists integrations with NVIDIA safety models, community models, third-party APIs, Python actions, and LangChain tools.The site lists integrations/providers including OpenAI, Anthropic, Gemini, Azure, Bedrock, Mistral, Cohere, DeepSeek, Groq, HuggingFace, Ollama, and vLLM.
Rating on G24.3 out of 5 from 4 reviews5 out of 5 from 1 review
What it doesNeMo Guardrails is an open-source Python package that intercepts LLM inputs and outputs and applies programmable policies to block, modify or validate content.PromptGuard places a security gateway before an LLM provider to block prompt injection, jailbreaks, data exfiltration and PII leaks before model processing.

Plans

NVIDIA NeMo Guardrails

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

NVIDIA NeMo Guardrails pricing →

PromptGuard

  • FreeFree
  • FreeFree
  • Team$19 a month
  • Team$19 a month
  • Build$99 a month
  • Pro$99 a month
  • EnterprisePriced on request
  • ScalePrice not published

PromptGuard 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

PromptGuard

PromptGuard is a security layer between an application and its LLM provider, inspecting requests before they reach the model. It describes 15 detectors across six layers for risks such as prompt injection, jailbreaks, PII, data exfiltration, toxicity, fraud, secrets, malware and tool injection. The product says it detects and redacts 43 PII types using reversible tokenization. Its SDK can automatically instrument supported LLM calls with one initialization call while leaving existing provider code unchanged. Listed providers include OpenAI, Anthropic, Gemini, Azure, Bedrock, Mistral, Cohere, DeepSeek, Groq, HuggingFace, Ollama and vLLM. Deployment options include managed cloud, hybrid self-hosting and air-gapped installations. In zero-retention mode, prompt and response content is not stored; default security events include a shortened preview and content hash. PromptGuard says customer prompts, completions and documents are not used to train, fine-tune or evaluate models. The Free tier is permanent and includes 20,000 scans a month, one API key, one project and 24-hour log retention. Paid plans include a 14-day money-back guarantee, not a trial.

Visit promptguard.co