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Digital Twins (DTs), optimize operations and monitor performance in SmartCritical Systems (SCS) domains like smart grids and manufacturing. DT-basedcybersecurity solutions are in their infancy, lacking a unified strategy toovercome challenges spanning next three to five decades. These challengesinclude reliable data accessibility from Cyber-Physical Systems (CPS),operating in unpredictable environments. Reliable data sources are pivotal forintelligent cybersecurity operations aided with underlying modelingcapabilities across the SCS lifecycle, necessitating a DT. To address thesechallenges, we propose Security Digital Twins (SDTs) collecting realtime datafrom CPS, requiring the Shift Left and Shift Right (SLSR) design paradigm forSDT to implement both design time and runtime cybersecurity operations.Incorporating virtual CPS components (VC) in Cloud/Edge, data fusion to SDTmodels is enabled with high reliability, providing threat insights andenhancing cyber resilience. VC-enabled SDT ensures accurate data feeds forsecurity monitoring for both design and runtime. This design paradigm shiftpropagates innovative SDT modeling and analytics for securing future criticalsystems. This vision paper outlines intelligent SDT design through innovativetechniques, exploring hybrid intelligence with data-driven and rule-basedsemantic SDT models. Various operational use cases are discussed for securingsmart critical systems through underlying modeling and analytics capabilities.

Digital Twins and the Future of their Use Enabling Shift Left and Shift Right Cybersecurity Operations