Background
With the popularization of AI technology, privacy and security has become one of the most concerned issues for users. Traditional AI apps need to upload data to the cloud for processing, which involves the risk of leakage.BreezeApp revolutionizes the situation by localizing the processing.
Core Solutions
- Fully offline architectural designAll data processing is done on the device side, and key functions such as speech recognition and image analysis do not require internet connection.
- Data sandbox protection: Adoption of application isolation technology to ensure that temporary data during AI processing will not be leaked to other applications
- Model Local Storage: All AI models (e.g. Breeze2/Llama3.2) are stored inside the device, protected by encrypted partitions
operation suggestion
- Turn off the "Allow Web Access" permission on first use (iOS in Settings-Privacy, Android in App Permissions Management)
- Regularly clean the generated cache files (operated in Settings - Storage)
- Sensitive content handling suggests the use of the default Breeze2 model due to its privacy enhancements for mobile
caveat
This solution relies on the device's local security protection capabilities and is recommended to be used in conjunction with security updates to the phone system. For extremely sensitive data, consider enabling the device's encrypted storage feature for additional protection.
This answer comes from the articleBreezeApp: the app that runs offline AI features on your phoneThe
May not be reproduced without permission:AI productivity tools " How to solve privacy and security issues when running offline AI features on your phone?
