LLM Guard vs Rocotal
LLM Guard
github.comRocotal
rocotal.comSide by side
| Figure | LLM Guard | Rocotal |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · LLM Security Tools | 7.6 (#11) | 6.9 (#25) |
| Integrations | The documentation includes integrations and examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex. | Rocotal says it connects business systems, knowledge sources, enterprise applications, and AI models; the opened product page does not name the pictured integrations in its text. |
| Intended users | The project describes production deployment and offers tutorials for developers building LLM applications, including guarded RAG and agent workflows. | Rocotal says it is built for organizations and teams including enterprises, banks, healthcare organizations, legal, customer support, HR, compliance, and software development. |
Plans
In their own words
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].