March 15 2026
Unbelievable, but true: last month, a security researcher discovered a staggering 300 million messages from 25 million users in an accessible, unsecured database. Not a hack, but simply a misconfigured chatbot backend built on systems like Claude, ChatGPT, and Gemini. Incidents like this paint a compelling picture of data security in today's digital world. From medical issues to personal confessions, the data was literally presented on a silver platter. Even more disturbing is the fact that this wasn't a cyberattack, but the result of negligence.
The recent nature of these events is particularly relevant to the European crypto market, where privacy is a key issue. Privacy-conscious users may be right to be concerned. It's therefore not surprising that some companies are pursuing less transparent practices: LinkedIn quietly added users to AI training programs, Google unceremoniously granted Gmail access to its Gemini AI model, and Meta cited "legitimate interests" in using years of EU users' Facebook posts for training. Furthermore, OpenAI was ordered by a court to retain all ChatGPT logs, even those that were deleted.
Moxie Marlinspike, the cryptographer and founder of the privacy-focused messaging app Signal, put it aptly: using mainstream AI is like confessing in a “data lake.” Fortunately, for those who want to integrate the benefits of AI into their lives without sacrificing their privacy, there are alternatives.
Moxie Marlinspike developed Signal to provide users with privacy amid the Web 2.0 revolution. His AI project, Confer, launching in December 2024, takes this even further in an age where AI interactions are ubiquitous. With Confer, messages are encrypted on the user's device before they are sent anywhere, and they travel to a Trusted Execution Environment—a hardware-isolated environment on the server that is inaccessible even to Confer's own engineers. The returned responses are also encrypted. This comprehensive, open-source code can be reviewed by anyone, enabling remote attestation—a crucial aspect that enables verification of privacy promises.
No chat logs, no training, no ads, and no data retention after the session ends. Confer requires an account, but supports alias emails and uses passkeys (like biometric authentication) instead of traditional passwords. The free version delivers 20 messages per day; a paid subscription costs $34,99 per month, which is a bit pricey. The trade-off is real, however: while the AI quality is respectable, it doesn't come close to GPT-5 or Claude Opus, and there are no options for file transfers or image generation. It's simply a chatbot, but for sensitive matters like therapist notes or legal correspondence, it's currently one of the more secure options.
Venice, founded by privacy advocate and Bitcoin pioneer Erik Voorhees, focuses on users who demand Confer-level privacy with more advanced features. Venice stores encrypted conversation history and data in your device's local browser storage, guaranteeing that the company can't access the content of your conversations. This assurance is credible, especially since they have nothing to hand over in the event of a court order.
Notable features include guest access to Venice, without an account, and support for passkeys. While there were some hiccups with the signup process, the platform remains effective. In terms of functionality, Venice offers a wide range of models, video generation via a credit system, image generation, role-playing options and persona-based interactions, as well as web search capabilities. For anyone who wants most of ChatGPT Plus's functionality without OpenAI's ability to read everything, Venice is likely the solution.
Proton, known for its secure infrastructure since 2014, has now launched Lumo as its AI assistant. This product follows the same philosophy: no third-party access, no training on your data, and no data sharing. With an auto-destroy setting that deletes chats upon logout and seamless file transfers via Proton Drive, Lumo offers a robust privacy experience. Moreover, it works with its own model, not a third-party one.
While Lumo isn't overly feature-rich, it offers a clean, GDPR-compliant experience. The platform is designed for existing Proton users and can be seen as a useful addition.
Kagi isn't a chatbot, but a highly user-friendly search engine. With a subscription model that delivers on its privacy promises—no user profiles or ads—Kagi presents results similar to Google's, with actual links instead of summary reports. The Kagi Assistant feature is particularly innovative, allowing you to choose a source for information. This ensures you can fully trust the results you receive.
Kagi also guarantees that neither they nor their LLM providers will use your data for training purposes. This makes it a valuable tool for journalists, researchers, and anyone who needs reliable, privacy-friendly search results.
CamoCopy is a German AI platform that routes interactions through EU infrastructure, ensuring robust compliance with regulations and privacy promises. Its functionalities include customized assistants, deep-dive extensions, web search capabilities, and GPU access. This level of privacy goes far beyond traditional cloud solutions, but it's important to remember that while the EU routing is robust, the provider still maintains its obligations.
Ellydee focuses on environmental friendliness by processing requests through data centers powered by 100% renewable energy. The platform boasts a dynamic and active community on Reddit, but has experienced some technical glitches that can frustrate its use. It promises strict privacy policies, but its implementation sometimes lacks consistency, especially for those who rely entirely on alias accounts.
xPrivo is an open-source platform that gives you complete control by hosting it on your own infrastructure. This gives users the flexibility to configure it as needed—ideal for the more tech-savvy user who values privacy and control.
Internxt has positioned itself as an easy-to-use chatbot without requiring registrations or accounts. It offers a robust privacy framework based on open-source principles, but its functionality is limited to basic interactions, making it less suitable as a primary tool.
Duck.ai uses a proxy mechanism that replaces your IP address with that of DuckDuckGo, offering an accessible way to integrate AI technology without sacrificing your privacy. This makes it an attractive option for a wider audience looking for easier access to better privacy.
Privacy is a broad concept, and the models discussed here can all offer a good solution, as long as you're only looking for a certain level of confidentiality. However, for serious privacy enthusiasts, there are clear preferences. It's advisable not to rely on a single service, but rather to use different providers based on your specific needs.
For most users seeking a balance between privacy and ease of use, Kagi and Venice are excellent choices. Privacy-conscious users are best off with Confer and xPrivo. Remember, the best protection lies not in relying on privacy policies, but in choosing tools where a misconfiguration or legal challenge won't expose you to risk.
How can I protect my data when using AI services?
Choosing platforms with strong privacy promises and proven architectural safeguards, such as Confer and xPrivo, is critical.
What are the best options for everyday AI support?
Platforms like Kagi for search and Venice for creative interactions offer a balance between ease of use and privacy.
What is the difference between privacy levels for different AI tools?
Tools vary in their privacy promises, from open-source and self-hosted solutions like xPrivo to more commercial solutions like Duck.ai, which rely on policies and contracts.
Bitcoin (BTC)
Ethereum (ETH)
XRP (XRP)
