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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