Privacy AI Race Heats Up: Venice Launches End-to-End Encryption Model, VVV Token Rises 10% in One Day

Gate News, March 19 — Venice, an AI project founded by Erik Voorhees, has released a new encrypted AI interface model that introduces end-to-end encryption (E2EE) and Trusted Execution Environment (TEE), emphasizing the concept of “verifiable privacy.” Following this announcement, the VVV token price surged briefly, rising from about $5.4 to nearly $6, an increase of approximately 10%.

This upgrade further enhances the existing anonymous proxy access and zero-data retention mechanisms. TEE is supported by NEAR AI Cloud and Phala Network, running AI computation tasks in hardware-isolated environments and generating encrypted proofs through remote attestation, allowing external users to verify the integrity of the model’s operation and prevent operators from accessing sensitive data.

In terms of data security, E2EE ensures full encryption from the user device to the GPU computing nodes, with decryption only occurring within verified secure environments. This means that neither Venice nor its infrastructure partners can access plaintext data at any stage, significantly reducing the risk of data leaks.

However, this mode also introduces certain functional limitations. For example, features like web search and context memory depend on unencrypted data access, so they are disabled in the current version. The team states this is a trade-off between privacy and functionality, prioritizing data security and verifiability.

Currently, TEE and E2EE features are only available to Venice Pro subscription users. Industry experts believe that as AI and blockchain integration deepens, AI infrastructure with verifiable privacy features may become a new focus of competition. The short-term performance of the VVV token also reflects the market’s increasing sensitivity to the “privacy AI + encrypted computing” narrative.