According to PANews, M31 Capital's Senior Portfolio Manager, David Attermann, highlighted the vulnerabilities in centralized data networks due to single points of failure, predicting global data breach losses to reach $10 trillion by 2024. Significant breaches have occurred at organizations like AT&T, the U.S. health information database, and India's biometric data. The rise of generative AI has intensified data security concerns, as AI increasingly relies on sensitive user data. Traditional cloud computing struggles to ensure data privacy, security, and transparency.
Blockchain-Orchestrated Confidential Cloud (BOCC) emerges as a potential solution. BOCC integrates blockchain smart contracts with Trusted Execution Environments (TEEs) to verify data transmission transparency, audit workloads, and eliminate single points of failure. For instance, Super Protocol uses smart contracts to manage cloud platform resources, ensuring the security and privacy of user data and program operations. This architecture not only has the potential to revolutionize AI cloud computing but is also applicable in sectors such as power grids, digital voting, and military IT, offering more efficient and verifiable security assurances for traditional data networks.