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Trend Micro Debuts Digital Twin Model for Cyber Defense

New simulation-based framework uses agentic AI and NVIDIA NIM to help enterprises simulate threats, improve risk planning, and defensive readiness.

Written By: Franklin Okeke

Aug 7, 2025

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Trend Micro has introduced a digital twin-based cybersecurity model that enables enterprises to simulate threats and assess vulnerabilities without exposing live systems.

The new model uses agentic AI and real-time infrastructure replication to simulate how systems behave under threat. The goal, Trend Micro said, is to reduce guesswork in incident response and give cyber defense teams a safe way to trial policies, tools, and scenarios.

“Enterprises are struggling to defend complex, dynamic infrastructure environments from highly adaptive, AI-powered adversaries,” said Mick McCluney, ANZ Field CTO at Trend Micro.

“Our Digital Twin technology empowers customers to simulate threats and safely validate security controls without touching production systems.”

AI-driven simulation for infrastructure risk

Trend’s model is powered by NVIDIA’s accelerated computing stack and NIM microservices to enable security teams to generate simulations of their entire environments. These digital twins include both IT and OT infrastructure and support continuous adversary emulation, rather than static penetration tests.

According to Bartley Richardson, the senior engineering director of agentic AI at NVIDIA, “Organisations need proactive solutions that can anticipate and counter potential threats before they occur. Powered by NVIDIA NIM microservices, Trend’s cybersecurity digital twins bring AI-driven protection to enterprise infrastructure.”

The cybersecurity software company also claims that the model enhances business resilience planning by illustrating how disruptions impact data flows and decision-making processes without requiring the probing of live environments.

Trend Micro’s expanding role in AI security

The announcement builds on Trend Micro’s recent moves to support AI-driven security infrastructure. Last month, the company expanded its partnership with Google Cloud to develop controls for GenAI workloads and sovereign AI environments, part of a broader effort to secure emerging cloud architectures.

Trend Micro has also open-sourced its Cybertron AI model and agent framework to accelerate the adoption of autonomous cybersecurity agents.

These developments suggest the company is leaning into AI not only as a threat vector but also as a foundation for revamping security operations. The digital twin rollout complements that strategy and provides a new layer of visibility for defenders tasked with managing rapidly evolving threat landscapes.

Our staff writer Jordan Smith covered SAS Innovate 2025, where the data giant unveiled its own digital twin solutions. Revisit his reporting to see more AI innovation in action.

Franklin Okeke

Franklin Okeke is an author and tech journalist with over five years of IT experience. Coming from a software development background, his writings span cybersecurity, AI, cloud computing, IoT and software development. In addition to pursuing a Master's degree in Cybersecurity & Human Factors from Bournemouth University, Franklin has two published books and four academic papers to his name. His writing also appears regularly in Enterprise Networking Planet, Techopedia, ServerWatch, The Register and other leading technology publications.

Trend Micro Debuts Digital Twin Model for Cyber Defense

AI-driven simulation for infrastructure risk

Trend Micro’s expanding role in AI security

Franklin Okeke

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