Modern society depends on computer networks for daily life, economic activity, and essential public services. Yet these networks remain difficult for people to manage safely and reliably because many operational tasks are detailed, repetitive, time-sensitive, and easy to perform incorrectly. This project advances a new research vision called Technological Management of Computer Networks: network systems should be designed not only to carry data, but also to make their own operation understandable, governable, and trustworthy. In this vision, people retain responsibility for judgment, policy, and accountability, while artificial intelligence agents carry out low-level operational tasks within approved limits. The central research challenge is to determine how such delegation can be made safe and robust: automated actions must be tied to human authority, checked against policy, controlled within defined boundaries, recorded as evidence, and open to review. By treating management, operations, and compliance as core technical properties of network systems rather than as external paperwork or after-the-fact automation, the project aims to create a new foundation for reliable and accountable digital infrastructure. The work will support national needs for secure networks by reducing preventable failures, improving trust in AI-assisted operations, and training students in secure, controllable, and robust network systems. This project will develop and evaluate the scientific and t