Moxie Marlinspike launches Confer, a privacy-focused AI chatbot with end-to-end encryption

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Moxie Marlinspike launches Confer, a privacy-focused AI chatbot with end-to-end encryption

The Signal co-founder’s new service promises chatbot functionality without the surveillance tax that comes standard with most AI platforms.

by
Editorial Team

Sep. 22, 2026

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Moxie Marlinspike, the cryptographer who built Signal, launched Confer in December 2025, a chatbot service designed to deliver the kind of AI assistance you’d get from ChatGPT or Claude while making it structurally impossible for the operator to read your conversations.

How Confer actually works

On the client side, Confer uses WebAuthn passkeys to encrypt conversations directly on the user’s device before anything leaves it. On the server side, inference runs inside Trusted Execution Environments, or TEEs, which are isolated hardware enclaves that process data without exposing it to the underlying system or the people running that system. Remote attestation allows users to cryptographically verify that the server is actually running what it claims to be running, not some modified version that quietly logs everything.

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The result is an architecture where Confer’s operator cannot access, store, or monetize user conversations, not because of a policy that could be changed, but because of how the system is built. The entire technical framework is open-source and independently verifiable.

Pricing, adoption, and the Meta connection

Confer is available at confer.to and operates on a freemium model. The free tier allows up to 20 messages per day across five active chats. A premium subscription runs $35 a month and unlocks unlimited access.

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Confer’s underlying privacy architecture is set to be integrated directly into Meta AI as of March 2026. Meta AI is embedded across WhatsApp, Instagram, and Facebook, platforms with billions of active users.

Why this matters beyond the product itself

The mainstream AI industry’s standard practice is to process conversations in plaintext on centralized servers. That enables model improvement through user data and creates detailed behavioral profiles that are valuable to advertisers and, in some jurisdictions, accessible to governments.

Marlinspike’s initiative for Confer deliberately eschews any integration with cryptocurrencies or blockchain technology, focusing instead on robust privacy engineering within the AI framework.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.