NVIDIA NeMo Guardrails
Open-source framework for adding safety controls to AI-powered conversation systems
- Vendor
- NVIDIA
- Also known as
- nvidia-nemo-guardrails
What is NVIDIA NeMo Guardrails?
A Python toolkit that adds protective guardrails to LLM-based chat applications to prevent prompt injections, jailbreaks, and other vulnerabilities through configurable input/output moderation, fact-checking, and hallucination detection.
NVIDIA NeMo Guardrails pricing
We don't have NVIDIA NeMo Guardrails's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What NVIDIA NeMo Guardrails does
The capabilities that matter for ai guardrails, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Open source python library
- Prompt injection and jailbreak blocking
- ✓
- Inbound pii and credit card masking redaction
- ✓
- Outbound toxicity and competitor mention blocking
- ✓
- Hallucination and topical off brand drift detection
- ✓
- Sub 50ms latency guarantees for proxy routing
- ✗
- Custom regex and deterministic denylist rulesets
- ✓
- Streaming token interception and chunked eval
- ✓
- Rag retrieval chunk poisoning defense
- ✓
- Zero data retention and prompt privacy guarantees
- ✓
- SOC2 type ii
- ✗
- ISO 27001
- ✗
- Pricing model
- Free open source
Platform & deployment
Independently observed- CLI
- Self-hosted
Integrations (15)
Independently observed- Llama Guard•
- Patronus Lynx•
- GLiNER•
- Hugging Face Transformers•
- OpenAI
- LangChain
- Hugging Face
- vLLM
- KServe
- FMS
- PrivateAI
- Polygraf
- NemoGuard
- Nemotron
- Patronus
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
NVIDIA NeMo Guardrails FAQ
Common questions about NVIDIA NeMo Guardrails, answered from independent, dated evidence.
What is NVIDIA NeMo Guardrails?
A Python library that protects language model-based chat applications from common vulnerabilities through modular guardrails. It supports input and output moderation, prompt injection and jailbreak detection, hallucination identification, RAG chunk validation, and integrates with multiple LLM frameworks and safety services. It is indexed under AI Guardrails.
Source: https://github.com/pricing
Is NVIDIA NeMo Guardrails free to use?
NVIDIA NeMo Guardrails is open source, so it can be self-hosted and used at no licence cost. Pricing changes often, so verify at source before relying on it.
Source: https://github.com/pricing
What platforms does NVIDIA NeMo Guardrails support?
NVIDIA NeMo Guardrails supports Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://github.com/pricing
Can NVIDIA NeMo Guardrails be self-hosted?
Yes. NVIDIA NeMo Guardrails can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://github.com/pricing
What does NVIDIA NeMo Guardrails integrate with?
We have confirmed 11 integrations for NVIDIA NeMo Guardrails, including OpenAI, LangChain, Hugging Face, vLLM, KServe, FMS, PrivateAI and Polygraf, plus 3 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://github.com/pricing
NVIDIA NeMo Guardrails alternatives
Other ai guardrails we track, ranked by the same independent score.
- Enkrypt AIEnterprise AI governance and security through real-time policy enforcementmedium · 53%
- Arthur ShieldA monitoring and governance platform for AI and machine learning applicationsmedium · 54%
- HiddenLayerA comprehensive security platform purpose-built for AI systems and applicationslow · 29%
- Lakera GuardAI security platform that detects and blocks threats to large language model applications in real-timemedium · 56%
- Llama GuardContent moderation models for safeguarding AI system interactionslow · 25%
- RebuffA system that identifies and blocks prompt injection attacks and improves its defenses based on detected attackslow · 24%
Compare NVIDIA NeMo Guardrails
Side by side against other ai guardrails, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for NVIDIA NeMo Guardrails, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 92 | 0.10 | 9.0 | ✓ |
| Release cadence | 78 | 0.08 | 6.3 | ✓ |
| Development activity | 44 | 0.14 | 5.9 | ✓ |
| Pricing transparency | 80 | 0.05 | 4.3 | ✓ |
| Stars | 73 | 0.05 | 3.4 | ✓ |
| Integrations | 29 | 0.05 | 1.6 | ✓ |
| Price level | 0 | 0.04 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Dependent projects | 0 | 0.05 | 0.0 | ✓ |
| Security posture | 5 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 24 | mediumsource · 2026-10-14 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 60% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Iso 27001: No · Soc2 type ii: No · Pricing model: free_open_source · Architecture model: open_source_python_library · Rag retrieval chunk poisoning defense: Yes · Prompt injection and jailbreak blocking: Yes | mediumsource · 2026-10-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 9 | mediumsource · 2026-10-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-14 · 90% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-21 · 60% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=custom-guardrails&per_page=100 · Last 12m: 0 | highsource · 2026-10-14 · 90% |
| Trust center | https://github.com/security | mediumsource · 2026-10-14 · 60% |
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