[2603.29289] Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry

Computer Science > Cryptography and Security arXiv:2603.29289 (cs) [Submitted on 31 Mar 2026] Title:Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry Authors:Akhil Gupta Chigullapally, Sharvan Vittala, Razin Farhan Hussian, Mohsen Amini Salehi View a PDF of the paper titled Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry, by Akhil Gupta Chigullapally and 3 other authors View PDF HTML (experimental) Abstract:The fast pace of modern AI is rapidly transforming traditional industrial systems into vast, intelligent and potentially unmanned autonomous operational environments driven by AI-based solutions. These solutions leverage various forms of machine learning, reinforcement learning, and generative AI. The introduction of such smart capabilities has pushed the envelope in multiple industrial domains, enabling predictive maintenance, optimized performance, and streamlined workflows. These solutions are often deployed across the Industrial Internet of Things (IIoT) and supported by the Edge-Fog-Cloud computing continuum to enable urgent (i.e., real-time or near real-time) decision-making. Despite the current trend of aggressively adopting these smart industrial solutions to increase profit, quality, and efficiency, large-scale integration and deployment also bring serious hazards that if ignored can undermine the benefits of smart industries. These hazards include unforeseen interoperability side-effects and heightened vulnerability to...