Bartley Richardson, Senior Engineering Director, Agentic AI at NVIDIA: “In today’s rapidly evolving cybersecurity landscape, 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.”
At the core of this model is Trend’s advanced agentic AI and industry-first application of cybersecurity digital twin technology. By creating high-fidelity, continuously updated simulation of an organisation’s infrastructure, Trend enables security teams to visualise risk, test scenarios safely, and make rapid, data-driven decisions that improve resilience and reduce business disruptions.
The shift from periodic assessments to continuous, intelligent simulation marks a major evolution in proactive cybersecurity. It allows organisations to stay ahead of adversaries, harden their environments to circumvent cybersecurity threats, and confidently secure mission-critical operations against an ever-changing threat landscape. The technology shifts security practices from static and reactive to dynamic and predictive, enabling measurable improvements across a range of critical use cases.
Stuart Samples, Chief Technology Officer at Northeast Georgia Health System: “Trend’s digital twin approach completely changes our ability to understand risk in real-time. It helps us catch threats we didn’t even know to look for, allowing our team to focus less on firefighting and more on confidently driving innovation.”
Trend’s cybersecurity Digital Twin technology is powered by NVIDIA accelerated computing and NVIDIA AI Enterprise software, including NVIDIA NIM microservices. This enterprise-grade software enables the delivery of agentic AI models, optimised inference, and secure, scalable deployment—combining the simplicity of APIs with the flexibility of self-hosted infrastructure to strengthen cybersecurity outcomes with AI-driven precision.
Trend’s Digital Twin model will help organisations proactively manage risk across their entire infrastructure—from on-prem to cloud, IT to OT, and legacy to next gen AI-powered systems. It comes as governments and industry leaders accelerate AI infrastructure investments. Trend’s approach to digital twins enables customers to make better informed risk decisions and enhance security operations across their organisation.
- Scenario planning: AI agents simulate threats and tactics within the Digital Twin, long before a real-world incident occurs. This helps to test current mitigation strategies in a continuous cycle, to improve resilience planning for sensitive and complex environments.
- Security investments: Decision makers can introduce new tools, policies, or architectural changes to see how they perform in the virtual environment. This results in better informed, data-driven investment decisions.
- Business resilience optimisation: Digital Twin technology can be used to simulate business-critical failure scenarios to highlight how data flows, how decisions are made, and how disruptions ripple across IT/OT systems and teams. These real-time risk insights boost enterprise security planning capabilities without risking disruption to production systems.
