Proton Sheets Launches as an Encrypted Google Sheets Alternative Protected Against AI Data Scraping

Positioning encryption as a defense against generative AI data scraping, Proton launched Proton Sheets on Thursday.

The end-to-end encrypted (E2EE) spreadsheet tool completes the company’s privacy-focused alternative to Google Workspace, explicitly targeting businesses wary of having their proprietary data ingested by models like Google Gemini.

Available for web and mobile, the service encrypts cell data, metadata, and filenames by default.

While it supports essential functions like formulas and real-time collaboration, the initial release lacks enterprise staples such as macros and pivot tables, positioning it as a secure repository rather than a high-powered financial modeling engine.

Closing the feature gap in Proton’s productivity suite, the release joins existing mail, calendar, storage, and document tools to challenge Big Tech dominance.

Shielding Business Data from AI Scraping

Driving this development is a strategic pivot to market encryption not merely as a safeguard against government surveillance, but as a necessary shield against corporate AI data ingestion.

Proton argues that the integration of generative AI into mainstream productivity suites has fundamentally altered the risk profile for businesses handling sensitive intellectual property.

Anant Vijay Singh, Head of Product at Proton Drive, framed the stakes for enterprise users concerned about automated data harvesting:

“Now, with AI woven deeply into these platforms, the risks have escalated exponentially. Every keystroke, every formula you enter can feed into their AI training pipelines.”

While Google maintains that paid Workspace data is contractually excluded from AI training, the distinction is often blurred for smaller businesses relying on consumer-grade tools. Proton highlights this ambiguity as a critical vulnerability for organizations that cannot risk inadvertent exposure.

According to Proton’s launch documentation, the integration of Google’s Gemini AI into Sheets presents a paradox for privacy-conscious users. While the tool is marketed as a productivity assistant, Proton highlights that Google’s own support pages explicitly advise against entering confidential information into the chat interface.

Proton argues, this caution is necessary because human reviewers may access user interactions to refine the AI model, creating a potential vector for data leakage. Furthermore, the company criticizes the ambiguity surrounding data policies for small businesses, noting that while consumer accounts often default to AI training, the framework also leaves room for corporate data to be ingested if administrators grant specific permissions.

By encrypting data before it reaches the server, Proton effectively blinds itself to user content, preventing any possibility of centralized AI training. This architectural decision forces a trade-off between privacy and the AI-assisted features currently flooding the market.

Unlike traditional spreadsheet tools that prioritize feature velocity, Proton emphasizes control over convenience. Singh described this approach as a necessary correction to the current software market.

Technical Capabilities and ‘Lite’ Limitations

Rounding out the productivity suite required architecting a solution that could operate entirely within the client-side browser environment.

The initial release of Proton Sheets supports standard formulas, data visualization charts, and real-time collaboration, allowing remote teams to edit documents simultaneously without decrypting data on the server.

Security architecture extends beyond the visible cell contents. For regulated industries, the scope of encryption is often a decisive factor in vendor selection.

The platform relies on a zero-knowledge security architecture where end-to-end encryption is applied to all spreadsheet content. This design ensures that access is mathematically restricted to the user, preventing even Proton from viewing or mining the underlying data.

On the functional side, the tool is built to handle diverse workloads ranging from personal budgeting to complex team management. It integrates essential analytical capabilities, including built-in formulas and data visualization charts, while maintaining these strict encryption standards during real-time remote collaboration.

Independent security auditors have not yet verified the specific implementation of the spreadsheet tool, though the company’s underlying architecture recently passed a third-party audit.

Despite the “robust” marketing claims, the tool launches with significant functional limitations compared to mature competitors.

Enterprise staples such as Macros and Pivot Tables are absent at launch, positioning the tool as a repository for sensitive lists and basic tracking rather than a high-powered financial modeling engine.

Singh acknowledged that the tool is part of a broader ecosystem strategy rather than a standalone replacement for Excel power users:

“No one should need to expose their data to use a service. After Proton Docs, a spreadsheet tool was the next piece of the puzzle for a secure workspace.”

Completing the ‘De-Google’ Ecosystem

Thursday’s launch marks the completion of Proton’s core productivity suite, joining Proton Mail, Calendar, Drive, Proton Docs, and Pass to offer a functional alternative to Google Workspace.

Proton is betting that a significant segment of the market is willing to sacrifice some convenience for guaranteed privacy.

Singh emphasized the comprehensive nature of the new protection model:

“You can now protect your entire workspace, from your email to your calendar, your documents to your spreadsheets. No surveillance. No data harvesting.”

Storage economics remain a friction point for users considering a full migration. Proton’s free tier is capped at 5GB, significantly lower than Google’s 15GB standard, creating a steeper upsell ramp for storage-heavy users.

Regulated industries, such as healthcare and legal sectors, are the primary target, where the liability of data exposure outweighs the convenience of AI-assisted features. By offering a complete suite, Proton aims to reduce the friction of leaving the Google ecosystem for organizations with strict compliance mandates.