NVIDIA NeMo Guardrails
7.4#4 in llm security toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitNVIDIA NeMo Guardrails vs ZeroTrusted AI Firewall
ZeroTrusted AI Firewall
5.3#26 in llm security toolsWebSelf-hosted
VisitWhat both publish
| Fact | NVIDIA NeMo Guardrails | ZeroTrusted AI Firewall |
|---|---|---|
| Deployment | The library can run in a self-managed Python environment, while the separate NeMo Guardrails microservice uses a container image and Kubernetes with Helm. | The listed modes are inline proxy for production-path enforcement, out-of-band traffic mirroring for detection and policy tuning, and browser or edge enforcement when combined with Shadow AI Protection. |
| Headquarters | Santa Clara, California, United States | Kissimmee, Florida, United States |
| Purpose | NeMo Guardrails is an open-source Python package for adding programmable guardrails to LLM-based applications. | AI Firewall inspects prompts, model responses, and tool calls to block prompt injection, jailbreaks, data exfiltration, hallucinations, toxicity, and unauthorized tool use. |
NVIDIA NeMo Guardrails plans
- Open-source NeMo Guardrails libraryFree
- NeMo Guardrails microservicePriced on request
ZeroTrusted AI Firewall plans
- EnterprisePriced on request
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 ZeroTrusted AI Firewall if…
It suits organizations that need to govern AI prompts, outputs, and agent tools, especially where sensitive information or compliance requirements matter. Deployment options cover production enforcement as well as monitoring and policy tuning.