Digital Twins Bring Simulated Security to the Real World

Digital twins—simulated models fed with real-world enterprise data—are being applied to cybersecurity to model attacker behavior, triage alerts, and safely test software updates without instrumenting production environments. Vendors (Trellix, Backslash) and NIST-funded academic research (University of Michigan) demonstrate that digital twins can provide context-rich grounding for AI agents and LLMs, improving precision in threat analysis, prioritization, and proactive remediation planning.