Trend Micro integrates with NVIDIA for enhanced AI data security
Trend Micro has announced a new integration with NVIDIA BlueField, embedding cybersecurity capabilities at the data centre layer to help organisations secure large-scale, high-speed AI factories while maintaining innovation and compliance standards.
The new integration enables companies to deploy AI workloads more quickly and with reduced risk, supporting multi-tenant AI environments and regulated industries where compliance is paramount. According to Trend Micro, its agentless Endpoint Detection and Response (EDR), deployed with NVIDIA BlueField data processing units (DPUs), collects and monitors host and network data, correlating this with threat intelligence to detect suspicious behaviour at the infrastructure level.
Trend Micro is also among the first security providers to validate its solution on NVIDIA RTX PRO Servers, extending protection to a broader range of enterprise-class AI factories, including sensitive government and high-assurance sectors. As part of the NVIDIA AI Factory for Government reference design, the company offers guidance for deploying AI workloads while meeting the stringent requirements of regulated environments.
Industry perspectives
Mick McCluney, ANZ Field CTO at Trend Micro, said: "Agentic AI promises to unleash a new era of productivity, efficiency, and business agility, but only if we build it on secure foundations. That's why Trend is committed to advancing AI safety through innovation in zero-trust enforcement and AI-native threat detection. Our combined offering with NVIDIA will establish a new market standard for peak performance deployments."
Ofir Arkin, Senior Distinguished Architect for Cybersecurity at NVIDIA, commented on the collaboration:
"As enterprises deploy AI factories, they need to secure large-scale, high-speed infrastructures without slowing innovation. By integrating with NVIDIA BlueField, Trend Vision One establishes a new class of endpoint detection and response for AI factories, combining hardware-enforced isolation with real-time threat insights to safeguard critical AI assets at the data centre layer."
A recent Gartner report stated, "AI infrastructure security includes the built-in security features of the underlying technology stack, such as vector and graph databases, and third-party security controls that could be easily expanded by incumbent vendors to cover AI security use cases."
Extending protection to applications
Trend Micro is building on its infrastructure protections by extending security to the application layer of Agentic AI. Trend Vision One AI Application Security, referred to as AI Guard, integrates natively with NVIDIA NeMo Guardrails as part of the NeMo framework. This framework is designed to ensure the security, safety, accuracy, and topical relevance of large language model (LLM) interactions, providing rail orchestration for multimodal applications through microservices and simple APIs.
The integration allows security teams to align and enforce guardrails according to enterprise policies, mapping them to risks such as prompt injection, data leakage, tool or agent abuse, jailbreaks, and hallucinations from development through to runtime. Through telemetry ingestion, the platform provides observability, risk scoring, and incident response, as well as automating policy-as-code updates and remediation across the AI and cloud stack.
AI safety focus
Trend Micro highlights three primary areas of strengthened Agentic AI safety within its platform:
Content Moderation: The platform filters toxic or biased AI outputs without slowing inference speed.
Security: Through NVIDIA BlueField-accelerated, hardware-enforced isolation, the integration mitigates prompt injection and jailbreak attempts.
Privacy: Features such as built-in encryption, compliance with GDPR, HIPAA, and CCPA, as well as zero-trust segmentation, are integrated into the solution.
The combination of agentless EDR and native guardrails underscores Trend Micro's move towards securing every layer of AI factories, from underlying infrastructure to application logic, in alignment with emerging industry requirements and best practices.
