![Sample our Computer Science journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5928/TOC-Subject-Sample-2021-Computer-Science.jpg"})
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.
Disclosure statement
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.