This paper introduces a theoretical design for a secure server system aimed at mitigating hacking risks, particularly for sensitive applications like banking systems. The proposed design utilizes a layered architecture comprising sub-servers, command processors, and offline update mechanisms to ensure data integrity and security. A key feature is the integration of an AI Detection Restoring Device that continuously monitors server patterns, detects unauthorized changes, and identifies unusual or repetitive commands. The AI-driven system enhances security by reducing human error, automatically resetting interrupted flows, and ensuring data protection. Only the public server is connected to the internet, with other components remaining offline to minimize vulnerabilities. This approach prevents unauthorized tampering and ensures robust data protection.. The proposed system's applications extend to banking and privacy-focused platforms, providing high levels of security and user authentication. By integrating AI with multiple verification layers and isolating critical subsystems from internet exposure, the design enhances overall resilience, addressing contemporary cybersecurity challenges. While theoretical at this stage, this framework aims to inspire further research and development of innovative server security systems..