Latest news with #MickMcCluney
Techday NZ
12-06-2025
- Business
- Techday NZ
Trend Micro unveils AI Factory to boost agentic AI security
Trend Micro has adopted the NVIDIA Agentic AI Safety blueprint, aiming to strengthen safety and security measures for agentic artificial intelligence systems throughout their lifecycle. The company outlined its approach with the introduction of the "Trend Secure AI Factory," which is built on Trend Vision One and Trend Vision One – Sovereign Private Cloud platforms. This framework is aligned with the NVIDIA Agentic AI Safety blueprint and seeks to provide enterprises with comprehensive security from the initial adoption of AI models through to their deployment and ongoing usage. Lifecycle focus According to Trend Micro, effective security within AI factories requires controls and monitoring at multiple levels, covering everything from data and models to the supporting infrastructure and user endpoints. The Secure AI Factory includes integration with NVIDIA NeMo—a model assessment and customisation framework—to enable scalable and reliable model safety evaluation across enterprise deployments. Mick McCluney, ANZ Field CTO at Trend Micro, commented on the current state of AI system adoption and the corresponding security imperatives. "Global organisations are racing to innovate with agentic AI systems, and there's a critical need to ensure the safety and security of these systems. 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." To support the aim of providing AI system safety, Trend Micro is integrating its own large language model, Trend Cybertron, via NVIDIA NIM universal microservices. This enables scalable and secure inference that can be deployed in cloud, hybrid, or on-premise settings, with a specific focus on detecting and responding to threats in real time. Technical integration Trend Micro highlighted several technical components of the Secure AI Factory. Firstly, it tightens model safety by integrating with NVIDIA NeMo for continuous evaluation and improvement. Secondly, it offers safeguards against data poisoning and misuse during AI training and evaluation phases. The firm's container security solution is used to secure deployment environments—such as NVIDIA NIM and other AI agents—against adversarial attacks or exploitation of resources. Additionally, sensitive data can be protected using Data Risk Posture Management (DSPM), which utilises components of NVIDIA AI Enterprise including NVIDIA Morpheus, NVIDIA RAPIDS, and the NVIDIA AI Safety Recipe to help manage privacy and compliance in both the training and post-training stages. Operational security for users and agent interactions employs Trend Zero Trust Secure Access (ZTSA) AI Service Access, aiming to provide guardrails and network protection for AI agents when interfacing with users. The Secure AI Factory also aims to fortify sovereign AI deployments with what it describes as trusted security controls through the Sovereign Private Cloud option. Industry perspective and collaboration Pat Lee, Vice President of Strategic Enterprise Partnerships at NVIDIA, commented on the value of integrating security measures into AI operational environments: "Embedding real-time, autonomous threat detection into enterprise AI factories empowers organisations to confidently scale innovation without compromising on protection. 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." The Secure AI Factory approach covers risk mitigation in all areas: model safety, infrastructure, workloads, data privacy, and user trust. The company's solution is designed for organisations looking to implement agentic AI systems at scale while maintaining compliance with various data protection and security requirements. Trend Micro's announcement also received commentary from Justin Vaïsse, Director General at the Paris Peace Forum, who emphasised the role of cross-sector initiatives in establishing AI trust: "As AI becomes increasingly embedded in critical systems, its safety and security must be treated as global priorities. We welcome the role of companies like Trend Micro in advancing responsible AI by contributing tangible, scalable solutions to multi-actor partnerships. This kind of cross-sector collaboration is essential to fostering trust and resilience in the technologies shaping our shared future."
Techday NZ
05-05-2025
- Business
- Techday NZ
Trend Micro launches AI threat detection for enterprise security
Trend Micro has introduced new AI-powered threat detection capabilities aimed at enterprises scaling up their AI operations. The new solution has been developed to protect AI-driven workloads and enterprise business processes, managing risks associated with the transition from generative AI to agentic AI, such as data theft, sabotage, and operational disruption. Trend Micro's latest offering brings together its security expertise with NVIDIA's accelerated computing and AI enterprise software, while deploying on AWS's secure, cloud-native infrastructure. The integration is intended to enable real-time, scalable threat detection and protection for organisations with expanding AI footprints. The AI Detection Model at the core of this development leverages the NVIDIA Morpheus AI framework, which is part of NVIDIA AI Enterprise. The detection model operates on the high-performance cloud environment provided by AWS, allowing rapid and precise analysis of vast enterprise data streams. According to Trend Micro, AWS was selected for its global reach, integrated security, and compliance-oriented architecture, while NVIDIA's technology contributes the computational capacity necessary for running advanced detection models with high efficiency. Chris Grusz, Managing Director, Technology Partnerships for AWS, said, "Built on AWS's cloud-native infrastructure, Trend's platform takes full advantage of NVIDIA AI software and accelerated computing capabilities to power scalable, low-latency threat detection. With AWS's global footprint and integrated services, Trend can securely process telemetry at scale, adapt detection models to evolving threats, and support customers worldwide—all while accelerating time to value." The wider Trend Vision One platform also integrates AWS AI services, including Amazon Bedrock, which supports Workbench Insights. These components are designed to improve investigation workflows and deliver additional context to security operations centre (SOC) teams during incident response situations. Mick McCluney, ANZ Field CTO at Trend, commented, "AI is reshaping the enterprise, and security has to evolve just as fast. We're bringing together best-in-class partners in both cloud and AI to deliver something truly differentiated. AWS's secure and resilient infrastructure gives us the scale, performance, and global availability needed to meet the always-on demands of today's enterprises. So our customers can detect and respond to threats faster, with confidence." The anomaly detection capability within the solution employs AI models based on NVIDIA Morpheus. This allows the system to identify novel patterns in large streams of telemetry data and logs. The implementation on AWS enables the platform to scale effectively, managing extensive datasets and rapidly building custom detection models for individual customers. This approach seeks to prioritise the most critical events and prompt faster security responses. Key features of the technology include NVIDIA Morpheus Digital Fingerprinting, which identifies subtle, previously unknown anomalies. There is also the use of NVIDIA RAPIDS to expedite large-scale data classification, enhancing real-time detection and prevention of sensitive information leaks. The platform's native operation on AWS allows it to leverage the elasticity, global reach, and inherent security of AWS services, supporting ongoing advancements in AI-enabled detection while meeting enterprise compliance and performance benchmarks. Robert Miller, VP of Corporate Security at Sierra-Cedar, highlighted the practical benefits of the solution: "We're dealing with an increasingly complex environment with more data. Trend stands out as it doesn't just provide threat intelligence, it helps make sense of it. Our team can access Trend's AI-powered platform directly via AWS Marketplace, streamlining procurement and deployment across global cloud environments. This powerful combination allows us to strengthen our security posture and identify threats much faster than we could manually." The introduction of these new AI-powered threat detection capabilities is positioned to address the rapidly evolving landscape of enterprise cybersecurity as organisations integrate artificial intelligence deeper into their operations.
