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Cisco Catalyst Center vs NVIDIA NeMo Guardrails

Cisco Catalyst Center

cisco.com

NVIDIA NeMo Guardrails

developer.nvidia.com

Side by side

FigureCisco Catalyst CenterNVIDIA NeMo Guardrails
Price from—Free
Free plan—Yes
Free trial——
Open source—Yes
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published23
Spec score · LLM Security Tools7.8 (#7)8.6 (#4)
DeploymentCisco describes hardware and virtual appliance deployments, including current guides for VMware ESXi and Ubuntu KVM.The library can run in a self-managed Python environment, while the separate NeMo Guardrails microservice uses a container image and Kubernetes with Helm.
Founded19841993
HeadquartersSan Jose, California, United StatesSanta Clara, California, United States
IntegrationsCisco documents integrations with ISE, ThousandEyes, Webex, Microsoft Teams, ServiceNow, Infoblox, and BlueCat, plus generic APIs for other ITSM and IPAM systems.The documentation lists integrations with NVIDIA safety models, community models, third-party APIs, Python actions, and LangChain tools.
PurposeCisco Catalyst Center is a centralized network controller and management dashboard for enterprise network operations.NeMo Guardrails is an open-source Python package for adding programmable guardrails to LLM-based applications.

Plans

Cisco Catalyst Center

  • Cisco DNA AdvantagePriced on request
  • Cisco DNA EssentialsPriced on request

Cisco Catalyst Center pricing →

NVIDIA NeMo Guardrails

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

NVIDIA NeMo Guardrails pricing →

In their own words

Cisco Catalyst Center

Cisco Catalyst Center has no write-up on Specifiction yet; its figures are above.

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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