LLM Guard vs WitnessAI
LLM Guard
github.comWitnessAI
witness.aiSide by side
| Figure | LLM Guard | WitnessAI |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · LLM Security Tools | 7.6 (#11) | 7.3 (#18) |
| Integrations | The documentation includes integrations and examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex. | A WitnessAI platform brief lists network connectors for Zscaler, Palo Alto Networks, Netskope, Fortinet, and F5, plus API integration with existing analytics and security systems. |
| Purpose | LLM Guard is a security toolkit for LLM interactions that sanitizes inputs, detects harmful language, helps prevent data leakage, and resists prompt injection attacks. | WitnessAI is a unified security and governance platform for enterprise employees, models, applications, and agents. |
| Support | The README directs users to GitHub issues, Slack, and [email protected] for production deployment assistance. | The company invites customers to request demos, partnership discussions, or information through its contact form and says a team member will respond shortly. |
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].
WitnessAI
WitnessAI is an enterprise AI security and governance platform for employee, model, application, and agent AI use. It finds AI applications, agents, and MCP servers, then presents prompts, responses, and agent activity in real time. Its catalog detects more than 4,000 AI applications without an endpoint client. Organizations can route prompts by risk, cost, or purpose and set policies by department, role, intent, or workforce type. The platform can redact sensitive data, create audit trails, block prompt injection and jailbreaks, and filter harmful model outputs. It also governs agent access to MCP servers and tools, recording blocked calls with user, agent, tool, and rule details. WitnessAI describes network-level operation without new SDKs, extra clients, or invasive instrumentation. Its architecture includes single-tenant isolation, customer-controlled encryption, executive privacy modes, and multi-region deployment. Monitoring includes Windows 11 Copilot, Office 365, and other desktop AI applications without endpoint clients or browser extensions. Pricing is custom and not published in self-service tiers; organizations can request a personalized demo.