LangBot's Multi-Assurance Solution for Sensitive Content Prevention and Control
To effectively prevent the risk of sensitive content in public group chats, the following protection system can be realized:
- native protection mechanism::
- Enable sensitive word filtering in Web Panel "Security Settings".
- Configure black and white lists to control access for specific users
- Setting reply_permission to limit the range of bot responses
- Content Review Layer::
- Integrate Baidu Content Security API for real-time auditing
- Add Moderate plugin for secondary filtering
- Enable OCR recognition + sensitive content detection for image messages
- Operation Monitoring::
- Enable dialog log auditing to keep original records
- Configure the administrator to be notified of abnormal traffic alerts
- Generate regular security reports to analyze risk events
- emergency measure::
- Setting the emergency_stop command to stop the response immediately
- Prepare a manual takeover mechanism to quickly interrupt problematic sessions
- Establishment of content backtracking and blocking process
Recommended combination scheme: front-end filtering (sensitive words) + mid-end interception (audit API) + back-end monitoring (log analysis). For high-pressure environments such as government affairs, localized auditing models can be additionally deployed to ensure that the data does not go out of the domain.
This answer comes from the articleLangBot: open source large model instant messaging robot, support for multiple WeChat, QQ, Flybook and other multi-platform deployment of AI robotsThe
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