Centralized data networks have shown significant vulnerabilities for years, mainly due to having a single point of failure. When one entity controls a database, it becomes easier for attackers to access sensitive information. In 2024, countless digital records were compromised, leading to an estimated $10 trillion in damages. Major breaches included incidents involving AT&T, half of America's personal health data, and the theft of personal information from millions.

While these breaches primarily affect the private sector, governments are not immune. Important data has been stolen from various U.S. federal agencies and critical infrastructures, which further intensifies the need for more secure solutions. Despite substantial investments in cyber security, data breaches are growing in size and frequency. As such, reconstructing the infrastructure is imperative.

With the rise of AI, which requires access to sensitive data to function effectively, the security of cloud AI applications poses significant challenges. Recent insights from tech giants like Apple highlight the urgent need to shift from traditional cloud infrastructures.

Blockchain-Orchestrated Confidential Clouds (BOCC) could provide secure architectures that build upon the current infrastructure without sacrificing performance or security. This technology validates data interactions based on smart contracts, ensuring users can verify their data's handling transparently. As Web3 evolves, it promises to transform existing frameworks across various sectors, enhancing privacy and security alongside performance.