Urban-rural integration represents the pinnacle of rural social development, serving both as an aspirational goal and a driver of spatial production. Concurrently, escalating cyber threats challenge traditional security models, especially for critical infrastructure. This study investigates landscape design and ecological-security-oriented cyberspace reconstruction within integrated urban-rural contexts. It synthesizes scholarly discourse on these two focal themes and examines AI’s (Artificial Intelligence) role in securing public cloud IoT authentication. An algorithmic framework is established, proposing multiple AI-driven models to theoretically underpin landscape design and cyberspace resilience strategies in integrated regions. The paper further conceptualizes AI’s function in shaping landscape aesthetics and cyberspatial governance. Simulation experiments validate the models: AI-enhanced security systems outperformed conventional defenses by 1.2% in average efficacy. The process value for ecological source quality increased from 7 in Phase I to 46 in Phase IV, demonstrating a substantial improvement.  As AI and IoT evolve, urban management confronts transformative opportunities and complex challenges. This research bridges physical landscape planning with digital ecological security, offering an interdisciplinary, AI-informed approach to sustainable urban-rural development amid growing cyber-physical interdependencies.

Xuan Wang, Jingxin Guan. Artificial Intelligence Oriented Landscape Design and Ecological Security Network Space Reconstruction Strategy for Urban and Rural Integration Area. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 7: 61-68. https://doi.org/10.25236/FSST.2025.070710.

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