NVIDIA NeMo Guardrails
7.4#4 in llm security toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitNVIDIA NeMo Guardrails vs Sanctum Runtime
Sanctum Runtime
6.3#8 in llm security toolsAndroidiOSWebAPI
VisitWhat both publish
| Fact | NVIDIA NeMo Guardrails | Sanctum Runtime |
|---|---|---|
| Integrations | The documentation lists integrations with NVIDIA safety models, community models, third-party APIs, Python actions, and LangChain tools. | The same verification path is described for OpenAI, Claude/MCP, Gemini-style function calling, DeepSeek, Grok, Bedrock-compatible endpoints, NVIDIA NIM, custom agents, and local runtimes. |
| Intended users | The library is presented for developers and teams building LLM applications who need configurable policy enforcement and safety checks. | The site presents the product for agent startups, platform and AI engineers, and security or compliance teams. |
| Purpose | NeMo Guardrails is an open-source Python package for adding programmable guardrails to LLM-based applications. | Sanctum is a runtime trust layer that evaluates AI actions before they execute. |
NVIDIA NeMo Guardrails plans
- Open-source NeMo Guardrails libraryFree
- NeMo Guardrails microservicePriced on request
Sanctum Runtime plans
No prices published.
Pick NVIDIA NeMo Guardrails if…
NeMo Guardrails suits developers and teams building LLM applications that need configurable policy enforcement and safety checks. It is relevant to projects using Python, supported frameworks, or a self-managed deployment.
Pick Sanctum Runtime if…
Sanctum Runtime is for teams building AI agents, robotics, workflow automation, or systems that take real-world actions. Its stated audiences include agent startups, platform and AI engineers, and security or compliance teams.