PANews reported on January 2 that according to CoinDesk, David Attermann, senior portfolio manager at M31 Capital, said that centralized data networks have long-standing vulnerabilities due to single-point failures, and the global losses caused by data leaks in 2024 will reach $10 trillion, including major leaks such as AT&T, the US health information database, and Indian biological data. With the development of generative AI, AI's reliance on user sensitive data has further exacerbated data security issues. Traditional cloud computing cannot effectively guarantee data privacy, security, and transparency.

Blockchain Coordination Confidential Cloud (BOCC) has become a potential solution. BOCC combines blockchain smart contracts and trusted execution environments (TEEs) to achieve transparent verification of data transmission, auditability of workloads, and elimination of single points of failure. For example, Super Protocol manages cloud platform resources through smart contracts to ensure the security and privacy of user data and program operations. This architecture can not only subvert AI cloud computing, but is also applicable to fields such as power grids, digital voting, and military IT, providing more efficient and verifiable security for traditional data networks.