Artificial Intelligence (AI)
Trend Secures AI Infrastructure with NVIDIA
Together, we are focused on securing the full AI lifecycle—from development and training to deployment and inference—across cloud, data centre, and AI factories.
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Organisations worldwide are racing to implement agentic AI solutions to drive innovation and competitive advantage. However, this revolution introduces security challenges—particularly for organisations in highly regulated industries that require data sovereignty and strict compliance. To address these challenges, NVIDIA launched the NVIDIA Enterprise AI Factory validated design to enable more organisations to safely and efficiently implement AI technology.
Today, we’re pleased to announce that Trend Micro is enhancing the security of AI systems with NVIDIA by integrating Trend Micro’s advanced cybersecurity solutions with NVIDIA-Certified systems running on NVIDIA RTX PRO server. Together, we are focused on securing the full AI lifecycle—from development and training to deployment and inference—across cloud, data centre, and AI factories.
Data Security: The Enterprise AI Challenge
As generative AI adoption accelerates, many organisations, particularly in the critical infrastructure sector, government, healthcare, and financial services, are building their own private AI infrastructures to maintain control over sensitive data.
According to Gartner®, “these concerns are driving tighter privacy and data protection policies, stricter requirements for data sovereignty and data control, and more demand for technological control, along with long-term autonomy and governance.”* As a result, nearly every major enterprise is now developing internal GenAI capabilities rather than relying solely on cloud-based solutions.
This shift toward private AI infrastructure creates new security considerations, including:
- Protecting sensitive training data from breaches
- Securing complex AI supply chains and containerised architectures
- Safeguarding AI models against poisoning and exploitation
- Ensuring infrastructure security across hybrid environments
- Implementing proper access controls for AI systems
AI Factory as a Business Enabler
The collaboration between Trend Micro and NVIDIA addresses these challenges through a comprehensive framework that unites data, services, open architecture, and infrastructure to accelerate AI deployments while ensuring data sovereignty.
Trend Micro’s AI Factory enablement solutions include:
- Comprehensive Security: Trend Vision One™ Sovereign Private Cloud (SPC) offers AI-driven cybersecurity with 100% data jurisdiction and control, ensuring that all data—including metadata—remains on sovereign soil or within designated locations. It leverages the capabilities of the Trend Vision One™ platform, which delivers comprehensive proactive security across email, cloud, network, endpoint, data, and identity layers. This flexible deployment alternative ensures robust security while meeting strict sovereignty and compliance requirements.
- GPU-Accelerated AI Security: NVIDIA Morpheus AI framework and NVIDIA NIM microservices enable real-time, GPU-accelerated risk detection and analysis, significantly enhancing the speed and accuracy of risk detection while supporting the massive growth in AI infrastructure spending. According to Gartner: “by 2028, AI-optimised IaaS spending will reach $79.2 billion in U.S. dollars, growing at a four-year 83.1% CAGR from 2024 through 2028.”** We’ve gained practical experience in leveraging GPU-accelerated pipelines to streamline data-driven decision-making. We use Morpheus and NVIDIA CuDF to build modern Data Security Posture Management (DSPM) solutions, helping customers: Identify sensitive data in telemetry streams Correlate security findings across different data sources Predict potential attack paths using AI-driven insights This allows organisations to move faster while keeping security and data privacy at the centre of their AI and data operations.
- Data Loss Prevention (DLP): Data Loss prevention using NVIDIA Morpheus and NVIDIA RAPIDS cuDF, achieving 20x throughput improvement and 50% cost reduction
Key Benefits for Private AI Infrastructure Deployments
This integrated solution offers significant advantages for organisations implementing private AI infrastructure:
- Simplified Deployment: Pre-validated solutions accelerate time-to-value and eliminate the complexity of "DIY security"
- Enhanced Protection: Comprehensive security across the entire AI stack from data to models to infrastructure
- Data Sovereignty: Complete control over sensitive data with Trend Vision One™ SPC
- Regulatory Compliance: Support for strict compliance requirements in regulated industries
- Operational Efficiency: Streamlined security operations with automated, AI-driven threat detection and response
- Skills Gap Mitigation: Reduced need for specialised expertise through pre-integrated solutions and simplified management
While this solution is valuable for any enterprise building private AI infrastructure for sensitive applications, it’s particularly suited for organisations in the Government and Critical Infrastructure sectors with strict compliance requirements, such as:
- Government Agencies
- Healthcare
- Financial
- Communications
- Energy
- Manufacturing
- Emergency Services
- Transportation
- Water and Wastewater
As Kevin Simzer, COO at Trend, explains: "Our platform is designed to automate, streamline, and unify security operations, whether in the cloud, on-premises, hybrid environments or even air-gapped systems. Our goal is to meet customers where they are, and that same philosophy drives our strategic alliances. We're delighted to work with NVIDIA to overcome the challenges that too often get in the way of effective threat protection."
By implementing this solution, organisations can confidently accelerate their AI initiatives while ensuring robust security, maintaining compliance, and protecting their most sensitive data, transforming AI from a potential risk into a secure competitive advantage.
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* Gartner, Market Guide for Digital Sovereignty Solutions (ID G00818332), Dennis Smith, Rene Buest, Alessandro Galimberti, 5 May 2025
** Gartner, Forecast Analysis: AI-Optimised IaaS (ID G00821602), Hardeep Singh, Colleen Graham, 17 December 2024
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