Cisco Catalyst Center vs LLM Guard
Cisco Catalyst Center
cisco.comLLM Guard
github.comSide by side
| Figure | Cisco Catalyst Center | LLM Guard |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · LLM Security Tools | 7.8 (#7) | 7.6 (#11) |
| Integrations | Cisco documents integrations with ISE, ThousandEyes, Webex, Microsoft Teams, ServiceNow, Infoblox, and BlueCat, plus generic APIs for other ITSM and IPAM systems. | The documentation includes integrations and examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex. |
| Purpose | Cisco Catalyst Center is a centralized network controller and management dashboard for enterprise network operations. | LLM Guard is a security toolkit for LLM interactions that sanitizes inputs, detects harmful language, helps prevent data leakage, and resists prompt injection attacks. |
| Support | Cisco says Catalyst and Cisco DNA software subscriptions include embedded software support and downloads; opening a support case requires a Cisco Service Contract. | The README directs users to GitHub issues, Slack, and [email protected] for production deployment assistance. |
Plans
Cisco Catalyst Center
- Cisco DNA AdvantagePriced on request
- Cisco DNA EssentialsPriced on request
In their own words
Cisco Catalyst Center
Cisco Catalyst Center has no write-up on Specifiction yet; its figures are above.
LLM Guard
LLM Guard is a self-hosted security toolkit for checking interactions with large language models. It scans prompts and outputs for concerns such as prompt injection, secrets, personally identifiable information, toxicity, bias, malicious URLs, and factual consistency. It can sanitize interactions, detect harmful language, help prevent data leakage, and resist prompt injection attacks. The documentation includes examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex. In the OpenAI examples, prompts and responses are scanned; a streaming example also checks response chunks. LLM Guard can run as an API, and custom scanners can be added. Installation uses `pip install llm-guard` and requires Python 3.9 or higher. It is free and listed under the MIT License, with API, Linux, and self-hosted platforms. The repository was archived on July 9, 2026, is read-only, and is no longer actively developed or maintained. Production deployment assistance is directed to GitHub issues, Slack, and [email protected].