SHARE
Facebook X Pinterest WhatsApp

Trend Micro Boosts AI Security With NVIDIA

Trend Micro adopts NVIDIA AI Safety Blueprint to secure AI lifecycles with Trend Secure AI Factory, boosting protection for data, models, and deployment.

Written By: Jordan Smith
Jun 18, 2025
Channel Insider content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More

Cybersecurity provider Trend Micro is adopting the NVIDIA Agentic AI Safety Blueprint to enhance customer security, ensuring AI systems are protected across their entire development and deployment lifecycle.

Trend Secure AI Factory promises to mitigate risk at every layer

The Trend Secure AI Factory will be built around unified cybersecurity platforms Trend Vision One and Trend Vision One – Sovereign Private Cloud to help customers mitigate risk at every layer of the AI factory, encompassing data, models, microservices, infrastructure, networks, and users.

The AI Factory will include capabilities such as data security, infrastructure posture management, API guardrails, and continuous integration/continuous delivery (CI/CD) validation.

“Global organizations are racing to innovate with agentic AI systems, and there’s a critical need to ensure the safety and security of these systems,” said Mick McCluney, ANZ Field CTO at Trend Micro. “The NVIDIA Agentic AI Safety blueprint provides an important enabling technology that works in conjunction with Trend’s threat intelligence to support safety across all phases of the AI lifecycle– from model adoption, deployment, and runtime protection– allowing customers to innovate with AI faster.”

Trend Micro is also deepening its AI-driven capabilities with the integration of Trend Cybertron, its cybersecurity-specific large language model, which is now deployable with NVIDIA universal LLM NIM microservices. This new deployment availability will enable scalable, secure inference across cloud, hybrid, and on-premise environments.

The Trend Secure AI Factory will support and reinforce the NVIDIA Agentic AI Safety blueprint through:

  • Integration with the NVIDIA NeMo model assessment, training, and customization framework ensures model safety mechanisms scale reliably and securely across enterprise environments.
  • Safeguarding of model integrity against data poisoning and misuse during training and evaluation phases.
  • Securing the deployment environment, such as microservices and infrastructure, with Trend Container Security to prevent adversarial manipulation or resource-based attacks.
  • Protection of sensitive datasets with Data Risk Posture Management (DSPM) and the NVIDIA Safety Recipe to meet privacy and compliance standards.
  • Providing guardrails, network protection, and secure AI agent interactions with application users, via Trend Zero Trust Secure Access (ZTSA) AI Service Access.
  • Strengthening sovereign AI with trusted security controls via Trend Vision One – Sovereign Private Cloud.

“Embedding real-time, autonomous threat detection into enterprise AI factories empowers organizations to confidently scale innovation without compromising on protection,” Pat Lee, VP of strategic enterprise partnerships at NVIDIA, said. “By integrating advanced cybersecurity directly into AI factories with Trend Micro and NVIDIA Agentic AI blueprints, enterprise data, models, and workloads can remain resilient and trusted– unlocking the full potential of AI in a secure, accelerated environment.”

Trend Cybertron and the universal LLM NIM microservice integration

Trend Cybertron LLMs are tailored for cybersecurity capabilities, and the universal LLM NIM microservice enables Trend to run custom models directly on NVIDIA Enterprise AI factories in cloud, hybrid, or on-premises environments.

This enables a quicker time-to-value, flexible backend support, and security. The integration will help entities build scalable, sovereign AI factories, and agents.

Trend Micro can also build AI-driven cybersecurity capabilities using the Cybertron LLM by leveraging NVIDIA NIM microservices.

Protecting LLMs across the AI lifecycle is critical during today’s evolving AI landscape. Cybersecurity provider CrowdStrike is partnering with NVIDIA on lifecycle protection for large language models (LLMs) to support enterprise AI factories.

thumbnail Jordan Smith

Jordan Smith is a news writer who has seven years of experience as a journalist, copywriter, podcaster, and copyeditor. He has worked with both written and audio media formats, contributing to IT publications such as MeriTalk, HCLTech, and Channel Insider, and participating in podcasts and panel moderation for IT events.

Recommended for you...

Infosys’ $153M Versent Deal to Drive AI in Australia

Infosys to acquire 75% of Telstra’s Versent for $153M, boosting AI-first cloud transformation in Australia and New Zealand.

Allison Francis
Aug 18, 2025
MinIO Debuts Academy With AI Partner Enablement

MinIO launches MinIO Academy to train IT pros and partners on AIStor, delivering expert-led courses for AI-driven object storage mastery.

Jordan Smith
Aug 18, 2025
Concentric AI Adds Integrations to Data Governance Platform

Concentric AI adds Wiz, Salesforce, and GitHub integrations to boost Semantic Intelligence platform’s AI-driven data governance and security capabilities.

Jordan Smith
Aug 15, 2025
Brivo Launching New Solution to Boost Security Suite

Brivo and Envoy partner to unify access control & visitor management, delivering scalable, compliant, and secure workplace experiences.

Jordan Smith
Aug 13, 2025
Channel Insider Logo

Channel Insider combines news and technology recommendations to keep channel partners, value-added resellers, IT solution providers, MSPs, and SaaS providers informed on the changing IT landscape. These resources provide product comparisons, in-depth analysis of vendors, and interviews with subject matter experts to provide vendors with critical information for their operations.

Property of TechnologyAdvice. © 2025 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.