A complete program for securing kimi-cc data
The following protective measures should be implemented to ensure the security of data privacy when using kimi-cc:
- Basic Configuration::
- Make sure auto_clear_session is set to true in config.yaml
- Set the session log directory (default is . /logs) to a non-system temporary path
- Periodically run kimi-cc clean -all to clean up history
- environmental isolation::
- Running with Docker containers (official Dockerfile provided with the project)
- Create separate virtual environments for different projects
- Filtering sensitive fields in the output by tools like jq
- API Security::
- Storing API keys via environment variables instead of configuration files
- Regular updates using Moonshot AI's key rotation feature
- Restrict key permissions (e.g., set usage limits)
Enterprise Scaling Solutions:
- Integration with key management systems such as Vault
- Deploying a local proxy layer for request auditing
- Development of custom plug-ins to implement sensitive word filtering
Special Note: Do not include sensitive information such as API keys, database connection strings, etc. in the prompts!
This answer comes from the articleKimi CC: An Open Source Tool for Driving Claude Code with Kimi ModelsThe
May not be reproduced without permission:AI productivity tools " How to avoid sensitive data leakage when using kimi-cc?
