Latest news with #PatLee
The Sun
13-06-2025
- Business
- The Sun
Trend Micro Enhances AI Safety and Security in NVIDIA Enterprise AI Factories
HONG KONG SAR - Media OutReach Newswire - 12 June 2025 - Trend Micro Incorporated (TYO: 4704; TSE: 4704), a global cybersecurity leader, today announced its adoption of the NVIDIA Agentic AI Safety blueprint, enhancing foundational security to help ensure customers' AI systems are protected across their full development and deployment lifecycle. To read more about how Trend Micro enhances security across NVIDIA Enterprise AI factory deployments, please visit: Kevin Simzer, COO at Trend Micro: '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. 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.' The 'Trend Secure AI Factory' is built around unified cybersecurity platforms Trend Vision OneTM and Trend Vision One – Sovereign Private Cloud. It's designed to help customers mitigate risk at every layer of the AI factory, encompassing data, models, microservices, infrastructure, networks, and users. Pat Lee, VP of Strategic Enterprise Partnerships at NVIDIA: 'Embedding real-time, autonomous threat detection into enterprise AI factories empowers organizations 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.' To achieve this goal, Trend is deepening its AI-driven capabilities through the integration of Trend Cybertron, its cybersecurity-specific large language model. Built to detect and respond to evolving threats in real-time, Trend Cybertron is now deployable via NVIDIA universal LLM NIM microservices, enabling scalable, secure inference across cloud, hybrid, and on-premise environments. This addition supports the alliance's shared goal of delivering intelligent, production-ready infrastructure for the AI era. Thanks to capabilities including data security, infrastructure posture management, API guardrails, and CI/CD validation, the Trend Secure AI Factory directly supports and reinforces NVIDIA Agentic AI Safety blueprint by: • Integrating with the NVIDIA NeMo model assessment, training, and customization framework to ensure model safety mechanisms scale reliably and securely across enterprise environments. • Safeguarding model integrity against poisoning and misuse during the training and evaluation phases • Securing the deployment environment, including microservices and infrastructure (e.g., NVIDIA NIM and AI agents), with Trend Container Security. This helps to prevent adversarial manipulation or resource-based attacks. • Protect sensitive datasets with Data Risk Posture Management (DSPM), leveraging NVIDIA AI Enterprise, which includes NVIDIA Morpheus, NVIDIA RAPIDS, and the NVIDIA AI Safety Recipe for evaluations and post-training, to adhere to 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 Justin Vaïsse, Director General at the Paris Peace Forum: '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.'
Zawya
12-06-2025
- Business
- Zawya
Trend Micro Enhances AI Safety and Security in NVIDIA Enterprise AI Factories
Trend Secure AI Factory supports NVIDIA NeMo continuous model safety evaluation and improvement lifecycle HONG KONG SAR - Media OutReach Newswire - 12 June 2025 - Trend Micro Incorporated (TYO: 4704; TSE: 4704), a global cybersecurity leader, today announced its adoption of the NVIDIA Agentic AI Safety blueprint, enhancing foundational security to help ensure customers' AI systems are protected across their full development and deployment lifecycle. To read more about how Trend Micro enhances security across NVIDIA Enterprise AI factory deployments, please visit: Kevin Simzer, COO at Trend Micro: "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. 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." The "Trend Secure AI Factory" is built around unified cybersecurity platforms Trend Vision One TM and Trend Vision One – Sovereign Private Cloud. It's designed to help customers mitigate risk at every layer of the AI factory, encompassing data, models, microservices, infrastructure, networks, and users. Pat Lee, VP of Strategic Enterprise Partnerships at NVIDIA: "Embedding real-time, autonomous threat detection into enterprise AI factories empowers organizations 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." To achieve this goal, Trend is deepening its AI-driven capabilities through the integration of Trend Cybertron, its cybersecurity-specific large language model. Built to detect and respond to evolving threats in real-time, Trend Cybertron is now deployable via NVIDIA u niversal LLM NIM m icroservice s, enabling scalable, secure inference across cloud, hybrid, and on-premise environments. This addition supports the alliance's shared goal of delivering intelligent, production-ready infrastructure for the AI era. Thanks to capabilities including data security, infrastructure posture management, API guardrails, and CI/CD validation, the Trend Secure AI Factory directly supports and reinforces NVIDIA Agentic AI Safety blueprint by: Integrating with the NVIDIA NeMo model assessment, training, and customization framework to ensure model safety mechanisms scale reliably and securely across enterprise environments. Safeguarding model integrity against poisoning and misuse during the training and evaluation phases Securing the deployment environment, including microservices and infrastructure (e.g., NVIDIA NIM and AI agents), with Trend Container Security. This helps to prevent adversarial manipulation or resource-based attacks. Protect sensitive datasets with Data Risk Posture Management (DSPM), leveraging NVIDIA AI Enterprise, which includes NVIDIA Morpheus, NVIDIA RAPIDS, and the NVIDIA AI Safety Recipe for evaluations and post-training, to adhere to 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 Justin Vaïsse, Director General at the Paris Peace Forum: "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." Hashtag: #trendmicro #trendvisionone #visionone #cybersecurity #trendcybertron #cybertron #nvidia The issuer is solely responsible for the content of this announcement. Trend Micro Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information. Fueled by decades of security expertise, global threat research, and continuous innovation, Trend Micro's cybersecurity platform protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints. As a leader in cloud and enterprise cybersecurity, the platform delivers a powerful range of advanced threat defense techniques optimized for environments like AWS, Microsoft, and Google, and central visibility for better, faster detection and response. With 7,000 employees across 65 countries, Trend Micro enables organizations to simplify and secure their connected world. Trend Micro
Techday NZ
20-05-2025
- Business
- Techday NZ
Elastic integrates Elasticsearch with NVIDIA AI Factory design
Elastic has confirmed that its Elasticsearch technology now integrates with the NVIDIA Enterprise AI Factory validated design to support organisations developing AI systems on their own infrastructure. The integration positions Elasticsearch as a recommended vector database for enterprises aiming to construct and implement on-premises AI factories, providing the foundation for real-time intelligence in AI agents and generative AI applications. Elastic is developing a plugin utilising NVIDIA cuVS, a technology designed to expedite the construction and querying of vector search indexes. This is expected to deliver faster and more precise results for both real-time and generative AI workloads. "We are obsessed with building the best vector database in the market," said Ken Exner, Chief Product Officer at Elastic. "NVIDIA Enterprise AI Factory validated designs enable Elastic customers to unlock faster, more relevant insights from their data." The importance of vector search and vector databases in supporting AI applications continues to grow within the industry. Elasticsearch is already widely used for such applications across the sector, supported by an active open source community. Elastic has invested in optimising the performance of its vector database. Previous efforts have included hardware-accelerated CPU SIMD instructions, innovations in vector data compression with Better Binary Quantization, and performance improvements in Filtered HNSW, all aimed at increasing the effectiveness of indexing and querying at scale. Pat Lee, Vice President, Strategic Enterprise Partnerships at NVIDIA, commented on the role of vector technology in AI. "Vector databases are transforming enterprise AI by making it easier for companies to find and use information quickly," he said. "With Elasticsearch and the NVIDIA Enterprise AI Factory reference design, enterprises can unlock deeper insights and deliver more relevant, real-time information to AI agents and generative AI applications." Elastic stated that further details regarding its ongoing collaboration with NVIDIA, and developments associated with vector search on GPU, are available via its official blog. Follow us on: Share on:
Yahoo
19-05-2025
- Business
- Yahoo
DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value
CHATSWORTH, Calif., May 19, 2025--(BUSINESS WIRE)--DDN®, the global leader in AI and data intelligence solutions, today announced it is redefining enterprise infrastructure by turning storage into an intelligent, AI-native platform that fuels real-time insight, faster decisions, and measurable impact with the NVIDIA AI Data Platform reference design. DDN solutions built with the design in collaboration with NVIDIA empower organizations to unlock the business potential of generative AI by simplifying how they store, access, and activate their most valuable asset: unstructured data. In the age of agentic AI platforms and scalable AI factories, enterprises must fundamentally reimagine their relationship with data. It's no longer just about storing information—it's about activating it. Data has become the fuel, the fabric, and the foundation of competitive advantage. "At DDN, we are not just keeping pace with this transformation—we're defining it," said Santosh Erram, Global Head of Partnerships—NVIDIA and Hyperscaler, at DDN. "If your data infrastructure isn't purpose-built for AI, then your AI strategy is already at risk. DDN is where data meets intelligence, and where the future of enterprise AI is being built." Turning Unstructured Data into Action With more than 90% of new data being unstructured—ranging from documents and videos to code and conversations—organizations are sitting on a goldmine of insights. But traditional systems weren't designed to support the speed, scale, and intelligence that AI now demands. The solution from DDN and NVIDIA solves this by combining DDN Infinia™, an AI-native data platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA Networking. This enables enterprises to deploy Retrieval-Augmented Generation (RAG) pipelines and intelligent AI applications grounded in their own proprietary data—securely, efficiently, and at scale. "Intelligent storage is key to transforming enterprise data into real-time intelligence for agentic AI reasoning," said Pat Lee, vice president, Enterprise Strategic Partnerships at NVIDIA. "Together, DDN and NVIDIA are building storage systems with accelerated computing, networking, and software to drive AI applications that can automate operations and amplify people's productivity." Business Outcomes That Matter Across industries—from finance and healthcare to telecom and manufacturing—organizations using DDN and NVIDIA solutions are realizing transformative results: Accelerated decision-making through conversational access to internal knowledge Enhanced customer engagement with domain-specific chatbots and digital assistants Lower total cost of ownership by reducing infrastructure sprawl and maximizing AI throughput Stronger data governance through on-prem, hybrid, or sovereign deployment models Infrastructure for the AI Factory Era Leading AI adopters are no longer just running pilots—they are building AI factories: repeatable, scalable pipelines that turn data into decisions. This next phase of enterprise AI requires a new foundation—one where storage is intelligent, high-performance, and seamlessly connected to AI pipelines. "AI has changed the rules—and DDN is redefining what enterprise data infrastructure must look like," said Sven Oehme, CTO and President at DDN. "Our work with NVIDIA accelerates time-to-value and allows enterprises to move faster and smarter in the AI economy." Learn More: Explore NVIDIA's AI Data Platform at or learn more about the DDN and NVIDIA partnership at About DDN DDN is the world's leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN's proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns. Follow DDN: LinkedIn, X, and YouTube. View source version on Contacts DDN Media Contact:Amanda LeeVP, Marketing – Analyst and Media Relationsamlee@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
19-05-2025
- Business
- Business Wire
DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value
CHATSWORTH, Calif.--(BUSINESS WIRE)-- DDN ®, the global leader in AI and data intelligence solutions, today announced it is redefining enterprise infrastructure by turning storage into an intelligent, AI-native platform that fuels real-time insight, faster decisions, and measurable impact with the NVIDIA AI Data Platform reference design. DDN solutions built with the design in collaboration with NVIDIA empower organizations to unlock the business potential of generative AI by simplifying how they store, access, and activate their most valuable asset: unstructured data. In the age of agentic AI platforms and scalable AI factories, enterprises must fundamentally reimagine their relationship with data. It's no longer just about storing information—it's about activating it. Data has become the fuel, the fabric, and the foundation of competitive advantage. 'At DDN, we are not just keeping pace with this transformation—we're defining it,' said Santosh Erram, Global Head of Partnerships—NVIDIA and Hyperscaler, at DDN. 'If your data infrastructure isn't purpose-built for AI, then your AI strategy is already at risk. DDN is where data meets intelligence, and where the future of enterprise AI is being built.' Turning Unstructured Data into Action With more than 90% of new data being unstructured—ranging from documents and videos to code and conversations—organizations are sitting on a goldmine of insights. But traditional systems weren't designed to support the speed, scale, and intelligence that AI now demands. The solution from DDN and NVIDIA solves this by combining DDN Infinia ™, an AI-native data platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA Networking. This enables enterprises to deploy Retrieval-Augmented Generation (RAG) pipelines and intelligent AI applications grounded in their own proprietary data—securely, efficiently, and at scale. 'Intelligent storage is key to transforming enterprise data into real-time intelligence for agentic AI reasoning,' said Pat Lee, vice president, Enterprise Strategic Partnerships at NVIDIA. 'Together, DDN and NVIDIA are building storage systems with accelerated computing, networking, and software to drive AI applications that can automate operations and amplify people's productivity.' Business Outcomes That Matter Across industries—from finance and healthcare to telecom and manufacturing—organizations using DDN and NVIDIA solutions are realizing transformative results: Accelerated decision-making through conversational access to internal knowledge Enhanced customer engagement with domain-specific chatbots and digital assistants Lower total cost of ownership by reducing infrastructure sprawl and maximizing AI throughput Stronger data governance through on-prem, hybrid, or sovereign deployment models Infrastructure for the AI Factory Era Leading AI adopters are no longer just running pilots—they are building AI factories: repeatable, scalable pipelines that turn data into decisions. This next phase of enterprise AI requires a new foundation—one where storage is intelligent, high-performance, and seamlessly connected to AI pipelines. 'AI has changed the rules—and DDN is redefining what enterprise data infrastructure must look like,' said Sven Oehme, CTO and President at DDN. 'Our work with NVIDIA accelerates time-to-value and allows enterprises to move faster and smarter in the AI economy.' Explore NVIDIA's AI Data Platform at or learn more about the DDN and NVIDIA partnership at DDN is the world's leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN's proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns. Follow DDN: LinkedIn, X, and YouTube.
