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.
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
- Linux
- Cloud / SaaS
- On-premise
- Self-hosted
Integrations (11)
Independently observed- 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 alternatives
Other ai guardrails we track, ranked by the same independent score.
- Enkrypt AISecurity and compliance platform that automatically detects and blocks threats in AI agents while generating audit-ready evidencemedium · 55%
- Arthur ShieldPlatform for discovering, monitoring, and controlling AI applications at organizational scalemedium · 56%
- HiddenLayerComprehensive platform that discovers, tests, and protects machine learning models throughout their lifecycle from supply chain risks and runtime attacks.low · 21%
- Llama Guardlow · 27%
- Lakera GuardAI security platform that detects and blocks threats to large language model applications in real-timemedium · 55%
- Rebufflow · 31%
Compare NVIDIA NeMo Guardrails
Side by side against other ai guardrails, attribute by attribute, with a source on every value.
The Vioscale 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 | 0.08 | 7.7 | ✓ |
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Price level | 100 | 0.05 | 5.2 | ✓ |
| Development activity | 55 | 0.09 | 5.2 | ✓ |
| Release cadence | 78 | 0.05 | 4.1 | ✓ |
| Integrations | 31 | 0.09 | 2.9 | ✓ |
| Stars | 73 | 0.03 | 1.9 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Security posture | 5 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 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 | 55 | mediumsource · 2026-08-26 · 65% |
Adoption
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 · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 11 | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |