Proton Drive Update: Secure Editing With Encrypted Suggesting Mode Unveiled
This new feature makes Proton Drive a privacy-focused alternative to mainstream platforms like Google Docs, which lack end-to-end encryption.
Privacy and security company Proton has been extremely active this year. Just recently, its VPN software became available on Apple TV, and earlier in the year, we saw updates to Proton Pass and Proton Mail.
Now, via an announcement sent to Lifewire, we’ve learned that the latest update applies to Docs, which launched just a few months ago as part of Proton Drive. This update includes what the company claims is the world’s first end-to-end encrypted suggesting mode for Docs. This gives teams a secure way to suggest edits in real-time without affecting the original document.
Suggesting mode allows users to track proposed changes, accept or reject them, and ensure version control so that edits can be easily managed and original content preserved. If you’re familiar with Google Docs and other online collaboration tools, it’s a lot like that. The big difference, of course, is the end-to-end encryption, which is crucial for teams working with sensitive documents who want to avoid data exposure risks commonly associated with big tech providers.
Proton Drive now also supports password-protected, read-only public links with expiration dates. This is designed to give users greater control over who can access shared documents. Additionally, Windows users can benefit from the Shared with Me function, which allows easy access to files shared by colleagues, even when offline. Docs has also received “intuitive” keyboard shortcuts for navigation and editing and new formatting options.
Proton Drive is doubling down on transparency by making all its apps open-source and having them independently audited, so anyone can check and verify the security claims for themselves. With a focus on privacy and security, Proton Drive gives businesses peace of mind by letting teams work together confidently without worrying about sensitive data falling into the wrong hands.
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