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Trend Cybertron

AI-powered cybersecurity platform for threat prediction, detection & response

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Trend Cybertron Description

Trend Cybertron is an AI-based cybersecurity system integrated within the Trend Vision One platform. It combines cybersecurity large language models (LLMs), machine learning technologies, natural language processing, GenAI, and agentic AI capabilities to provide threat detection and response across email, network, endpoint, identity, and cloud environments. The system is trained on Trend Micro's global threat intelligence and vulnerability research, incorporating insights from Trend Research, the Zero Day Initiative, and third-party sources such as MITRE. No customer data is used in the training process. Trend Cybertron performs cross-domain correlation to identify complex threats, analyzes risk information, prioritizes critical threats, predicts attack paths, and provides threat explanations with remediation actions. The agentic AI features continuously evolve based on real-world intelligence and security operations to adapt to emerging threats. The system includes built-in deepfake detection, anti-spam, and anti-phishing protection. It works with Trend Companion, an AI-powered cybersecurity assistant that provides guided, contextual insights and remediation support. An open-source version called Trend Cybertron Primus is available through Hugging Face and GitHub for research purposes. This version uses limited datasets and excludes proprietary IP. The open-source models, datasets, and agents are provided as-is without support. Trend Cybertron is not available as a standalone product and must be purchased as part of Trend Vision One solution areas.

Trend Cybertron FAQ

Common questions about Trend Cybertron including features, pricing, alternatives, and user reviews.

Trend Cybertron is AI-powered cybersecurity platform for threat prediction, detection & response developed by Trend Micro. It is a AI Security solution designed to help security teams with AI Powered Security, AI Security, Cloud Security.

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