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Abstract
This article explores the transformative impact of integrating digital twins into the Cybersecurity Mesh, a decentralized security architecture further augmented by artificial intelligence. Beyond serving as digital replicas, digital twins provide real-time analytical capabilities, extending the Mesh’s reach from merely identifying to proactively predicting security threats. Dr. McLaughlin examines how this integration enhances real-time monitoring, enables predictive maintenance, and improves incident response, thereby offering a more resilient, adaptive, and holistic approach to cybersecurity.
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No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Kevin Lynn McLaughlin
Kevin Lynn McLaughlin is a seasoned cybersecurity leader with over 25 years of experience in the field, holding multiple certifications such as CISO, CISSP, CISM, CRISC, and others. I have a diverse background in law enforcement, corporate security, and cybersecurity, having served in the U.S. Army, as a U.S. Special Agent, and as a member of various anti-terrorism councils and task forces.