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Trend Micro cyber resilience model uses digital twin tech and agentic AI to allow organizations to model their entire IT and OT environments in real time, including support to create high-fidelity simulations, validate defenses and adjust policies before attacks can occur       

August 4, 2025 //  by Finnovate

Cybersecurity software company Trend Micro unveiled a new cyber resilience model based on digital twin technology and agentic AI. The new offering allows organizations to model their entire information technology and operational technology environments in real time, including support to simulate threats, validate defenses and adjust policies before attacks can occur. The digital twin technology, which is built on Nvidia Corp.’s accelerated computing stack and AI Enterprise software, uses agentic AI to create high-fidelity, continuously updated simulations of enterprise systems. The virtual environments serve as testbeds where security teams can model attacker behavior, experiment with new tools and make informed, data-driven decisions without risking operational disruption. The new cyber resilience model has been designed to support a range of scenarios, including adversary simulations, business continuity testing and investment decision modeling. In one example, organizations can use the model to test how new security tools perform in a virtual clone of their infrastructure or simulate business-critical failure events to understand how disruptions might ripple across connected systems. Trend Micro claims that the shift from periodic assessments to continuous, intelligent simulation marks a major evolution in proactive cybersecurity. The idea is that by allowing organizations to stay ahead of adversaries, harden their environments to circumvent cybersecurity threats and confidently secure mission-critical operations, the technology shifts security practices from static and reactive to dynamic and predictive. The new model doesn’t stop at threat simulation, also supporting smarter security investments and operational planning. Decision-makers can use the model to evaluate new tools, policies, or architecture changes in the simulated environment to gauge their impact without touching live systems.

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Category: Cybersecurity, Innovation Topics

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