
The global leader in AI cybersecurity has adopted a name to match. TrendAI™ is the new name for the enterprise cybersecurity business unit of parent company Trend Micro Incorporated (TYO: 4704;TSE: 4704).
The new identity aligns with the company’s focus on solving real-world security challenges as AI becomes foundational infrastructure and cyber risk is managed as a core business priority.
To learn more about TrendAI™, visit: https://www.trendaisecurity.com
Eva Chen, CEO of Trend Micro: “This is not a cosmetic change. It signals where we are going and how we intend to lead. TrendAI™ reflects our conviction that security must evolve as quickly as the technology it protects. Enterprises are redesigning their operations around AI, data and automation. Our role is to ensure they can do so with confidence, control and resilience built in from the start.”
The move marks the completion of a transformation from a portfolio of industry-leading security products to a unified enterprise AI cybersecurity platform, TrendAI Vision One™. Led by Rachel Jin, Chief Platform & Business officer, TrendAI™ is recognized as a leader across cloud, endpoint, network and threat detection by analyst firms like Gartner, IDC, and Forrester. The new brand aligns how TrendAI™ builds and delivers security solutions for the AI-powered enterprise with how modern organizations manage cyber risk.
TrendAI™ is also rolling out:
- AI Security Brief: A new podcast series delivering timely, real-world stories at the intersection of AI and security.
- TrendAI™ Spark: A flagship global events ecosystem, bringing together customers, partners, and the broader technology community to examine how AI is reshaping security, risk, and leadership decision-making.
- S-RM Partnership: Expands TrendAI™ partner ecosystem through a global incident response and cyber risk advisory partner embedded in post-breach workflows, helping organizations transition from containment to long-term risk reduction and security strategy. Learn more here.
- HackerVerse collaboration: Independent adversarial testing powered by autonomous AI agents executing real MITRE ATT&CK techniques, continuously validating detection efficacy through measurable, proof-based results.
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