Trend Micro Inc., a global cybersecurity provider, has introduced a new cyber resilience model that uses Digital Twin technology to help enterprises strengthen proactive defenses.
The approach allows organizations to simulate cyber threats, test their defenses, and adjust security policies in real time across diverse and complex digital environments.
“Enterprises are struggling to defend complex, dynamic infrastructure environments from highly adaptive, AI-powered adversaries,” said Rachel Jin, chief enterprise platform officer at Trend Micro. “Rapid shifts in threat actor tactics and IT infrastructure mean reactive, point-in-time risk assessments are no longer fit for purpose.”
Jin noted that Trend Micro’s Digital Twin technology empowers customers to simulate threats and safely validate security controls without touching production systems, to finally close the gap between digital transformation and defensive readiness.
At the core of the model is Trend Micro’s use of agentic AI and digital twin technology. By creating detailed and continuously updated simulations of an organization’s infrastructure, the system enables security teams to visualize risks, run safe test scenarios, and make faster, data-driven decisions to improve resilience.
The shift from occasional risk assessments to continuous simulations is designed to move cybersecurity from a reactive model to a more predictive approach. This allows businesses to prepare for new tactics from cyber attackers, safeguard critical operations, and minimize disruptions.
Trend’s Digital Twin model is powered by Nvidia accelerated computing and Nvidia AI Enterprise software, including Nvidia NIM microservices. The system combines agentic AI models, optimized inference, and secure deployment tools to deliver AI-driven security capabilities through APIs and flexible infrastructure options.
The company said the technology will help organizations manage risks across on-premises, cloud, IT, and operational technology environments, including legacy and AI-powered systems.
Practical applications include scenario planning, where AI agents simulate cyberattacks before they happen to test defense strategies. It also supports security investment decisions by modeling how new tools or policies would perform in a virtual environment. For resilience planning, Digital Twin technology can simulate failure scenarios to understand how data flows and how disruptions impact systems and teams, providing insights without disrupting live operations.
The announcement builds on Trend Micro’s recent initiatives to expand the use of AI in cybersecurity. The company has opened its Cybertron AI model and agent framework to the open-source community and is working on protection for generative AI workloads and sovereign AI infrastructure.