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 Trend Micro to Open-source Model and AI Agent to Drive the Future of Agentic Cybersecurity

Trend Micro to Open-source Model and AI Agent to Drive the Future of Agentic Cybersecurity

 

Trend Micro Incorporated, a global cybersecurity leader, announced the open-sourcing of Trend Cybertron, an AI model and agent framework designed to accelerate the development of autonomous cybersecurity agents. As one of the first specialised cybersecurity LLMs, it provides organisations and researchers worldwide access to advanced cybersecurity capabilities at no cost[2 The specialised Trend Cybertron model is fine-tuned using Llama 3.1 and supports rapid, reliable deployment with NVIDIA NIM inference microservices on NVIDIA accelerated infrastructure.

Mick McCluney, ANZ Field CTO at Trend Micro: “The secret sauce of Trend Cybertron is the data it continuously learns from, fine-tuned for optimised threat detection and mitigation. By bringing to bear the very highest quality threat data and NVIDIA’s industry-leading AI expertise, we’ve made proactive security a reality, enabling us to predict and prevent threats like never before. This innovation isn’t just a win for our customers—it’s about making the entire digital, connected world a safer place.”

Global organisations are struggling to innovate and grow while being weighed down by security challenges, fragmented point solutions, and an overwhelming flood of threat alerts. The complexity demands a shift to a proactive approach. Powered by NVIDIA AI at the core, Trend Cybertron moves beyond chasing threats, applying intelligent, decision-making AI agents to predict and respond.

Pat Lee, Vice President of Strategic Enterprise Partnerships at NVIDIA: “With the ability to understand, reason and take action, AI agents give organisations a powerful new cybersecurity tool. Agentic AI security agents built with the Trend Cybertron model and framework using NVIDIA AI can analyse massive amounts of data in real time to detect potential threats, adapt dynamically, and respond autonomously.”

 

 

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