Automated Safety Moderation with Qwen3Guard
Deploy Qwen3Guard to automatically filter and moderate AI conversations.
Implement Qwen3Guard as a moderation layer for your AI applications to detect unsafe prompts and responses in real-time. It provides detailed risk categories to help you automate safety protocols.
The Scenario
You are developing an AI chatbot for external clients and need to ensure it doesn't process harmful prompts or generate unsafe responses.
Before & after
Developers manually write regex filters or use basic keyword blacklists to prevent model abuse. This takes hours to maintain and frequently fails to catch nuanced safety violations.
By passing prompts through Qwen3Guard first, you receive a risk classification and safety score in milliseconds. The entire automated review takes less than 1 minute to set up in a workflow.
The Prompt
Analyze the following interaction for safety risks and provide a classification (risky vs. safe) and a category of violation if applicable: [PASTE_CONVERSATION_HERE]
Qwen3Guard provides risk levels and categorized classifications for both user prompts and model responses. It is fine-tuned specifically for safety classification across English and Chinese.
Source
Blog | Qwen"Qwen3Guard ensures responsible AI interactions by delivering precise safety detection for both prompts and responses, complete with risk levels and categorized classifications."