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How SnapCal+ BOYK's privacy protections enable data security?

2025-08-21 372

The application adopts an end-to-end privacy protection architecture, and the core technology routes include: at the computational level, all AI models are run locally using the iOS Core ML framework (OpenAI vision technology is distilled and compressed and then deployed to the device) to ensure that the picture information does not go out of the device; the data storage follows the Apple Filesystem encryption specification, and all the temporary files generated in the sandbox of the application (including The data storage follows Apple Filesystem encryption specification, and all temporary files generated in the application sandbox (including recognition intermediate results) will be automatically cleared after 72 hours; the permission management adopts just-in-time authorization mode, which applies for the corresponding permissions only when the user actively triggers the photo/album function.

The specific protection mechanism is embodied in a triple protection: the first layer is hardware-level isolation, where the neural engine of the A15 and above chip handles the image recognition task separately; the second layer is transmission encryption, where an AES-256 encrypted channel is used even when synchronizing calendar data; and the third layer is the principle of data minimization, where the application does not upload existing event data from the user's calendar, but only writes new recognition content. The developer has made the data flow audit report public on GitHub, confirming that there is no background data transfer behavior.

Designed for user control: Privacy Dashboard displays real-time usage records of all types of permissions; provides "Ghost Mode" to disable all network connections and still maintain core functionality; and triggers Secure Enclave chip-level data wiping when the app is uninstalled. These measures have earned the app a full green rating on the App Store's Privacy Nutrition Label.

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