Data Security Double Insurance: Localized Storage + Controlled API Transmission
Commercial AI platforms are often at risk of data leakage, and Omnitool is secured by the following design:
- Localized Operational Architecture: All basic components (including file managers, logging systems, etc.) run on the user's local device and do not pass through third-party servers when processing data.
- Selective API Transfer: Send the necessary data to the corresponding service provider only when actively invoking a specific model, all outgoing data can be viewed through the 'History' module.
- Network isolation mechanism: Built-in firewall rules to block unauthorized network connections, view real-time network requests in settings
Configuration Recommendations:
- Turn off 'Automatic update check' on first use (Settings → System Preferences)
- Create a separate workspace for sensitive projects, enable 'Local Cache Encryption' feature
- Regularly use the 'Data Cleanup' extension to clear temporary files
Note: When using third-party APIs, you still need to comply with the data policies of each platform, and it is recommended that you give preference to open-source models that support private deployment (e.g., the local version of Stable Diffusion).
This answer comes from the articleOmnitool: AI enthusiast's toolbox to manage, connect and use all AI models in one desktop!The
May not be reproduced without permission:AI productivity tools " How to ensure data privacy and security in the use of AI models?
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