Traditional network architectures are incapable of meeting the demands of new digital paradigms involving enormous volumes of raw and processed data moving between our devices, our work, community and home networks. In this two-part series, we explore how next-gen network technology can use artificial intelligence and machine learning to become more flexible and automated. Security strategies need to undergo a radical evolution. Tomorrow's security devices will need to see and interoperate with each other to recognize changes in the networked environment, anticipate new risks and automatically update and enforce policies. The devices must be able to monitor and share critical information and synchronize responses to detected threats.