Trend Micro Enhances AI Safety and Security in NVIDIA Enterprise AI Factories
To read more about how Trend Micro enhances security across NVIDIA Enterprise AI factory deployments, please visit: https://www.trendmicro.com/en_us/research/25/f/cybertron-nvidia-universal-llm-nim-microservices.html
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.'
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Malay Mail
14 hours ago
- Malay Mail
US government turmoil stalls thousands of export approvals, sources say
NEW YORK, Aug 2 — Thousands of license applications by US companies to export goods and technology around the globe, including to China, are in limbo because turmoil at the agency in charge of approving them has left it nearly paralysed, two sources said. While US Commerce Secretary Howard Lutnick has become a familiar face touting President Donald Trump's tariff and trade deals, sources said the export bureau under Lutnick's command has failed to issue expected new rules, stifled communications with industry representatives, pushed out experts, and lost staff through buyouts and resignations. Shipments of artificial intelligence chips from Nvidia to China are the most high-profile example of licenses not being swiftly approved. The company said July 14 the government assured it licenses would be granted for its H20 chip, and it hoped to start deliveries soon. Lutnick and other officials confirmed sales would be allowed. But sources said this week no licenses have yet been issued, and billions of dollars of AI chip orders are at stake. One US official said the backlog of license applications is the lengthiest in more than three decades. A spokesperson for Nvidia declined to comment. The Commerce Department defended its licensing practices, saying its Bureau of Industry and Security 'will no longer rubber-stamp license applications that raise grave questions of national security,' a spokesperson said. 'BIS is driving forward President Trump's agenda through strong rules and aggressive enforcement,' the person added. The turmoil and resulting inaction at an agency tasked with promoting overseas trade and safeguarding American technology are alarming both those seeking tougher restrictions on exports to China and companies trying to sell their wares abroad. 'Licensing is how the US does business and competes globally,' said Meghan Harris, who served on the National Security Council in the first Trump administration and has worked at Commerce. 'Delays and unpredictability put us at an unnecessary disadvantage.' BIS averaged 38 days per export license application in fiscal year 2023, the most recent data available, denying 2 per cent of 37,943 applications. The license process enforces US export restrictions in an effort to make sure sensitive goods and technology do not reach countries or entities whose use of the items could harm US national security. Some staff have criticised Jeffrey Kessler, who became BIS undersecretary in March, saying he has micromanaged the bureau and failed to communicate adequately. At a staff meeting soon after he took office, Kessler urged BIS staff to limit communications with company representatives and industry officials, according to two additional sources, who said he later asked for all meetings to be entered on a spreadsheet. Getting approval from Kessler's office to attend meetings with other government agencies has also been tricky, those sources said, speaking anonymously because they were not authorised to speak publicly. The BIS spokesperson said Kessler 'is restoring integrity' to the bureau and enjoys Lutnick's 'full confidence.' Frustration among exporters Frustration is growing within US industry. 'We're seeing whole sectors where there is no movement or indication if or when licenses will be issued,' including license applications for semiconductor manufacturing equipment worth billions of dollars, said Sean Stein, president of the US-China Business Council. While the clock is ticking on license applications, 'Chinese companies are exploring and doing deals with suppliers in China and other countries,' he said. 'The longer we have the delay, the more market share we're going to lose.' Jim Anzalone, president of Compliance Assurance, a Florida-based trade consultancy, said he has seen delays in license approvals for sensors, radars, and sonar to Latin America and other parts of the world. 'There's nothing official about what the policy is and when the backlog would be cleared,' he said. He has received denials sporadically after submitting some two dozen applications months ago to export semiconductor manufacturing equipment to China, including four denials on Wednesday, he added. Sources stressed that some licenses are getting approved, especially exports to allied countries, and they noted that some communication with companies continues, especially around license applications. Commerce is also delaying regulatory changes. The agency said in May it would rescind and replace a Biden administration rule before it went into effect that month restricting where AI chips can be exported, but the agency has not done so yet. Other rules, which sources said have been drafted for months, have not been published, including one to expand export restrictions to subsidiaries of companies already banned from receiving controlled US exports. Meanwhile, important staff vacancies such as China-based export control officers have not been filled, and high-level career employees have resigned. A retirement party was held this week for Dan Clutch, acting director of the BIS Office of Export Enforcement, the latest experienced staff member to leave. — Reuters
The Sun
17 hours ago
- The Sun
Defining moment for Malaysia's AI, data centre ambitions
PETALING JAYA: As US-led semiconductor chip restrictions tighten and regional energy costs rise, Malaysia faces a defining moment in its artificial intelligence (AI) and data centre ambitions. Industry leaders say these global disruptions could either stall the nation's progress or become the very trigger that accelerates its push for AI self-reliance and digital sovereignty. National Tech Association of Malaysia research committee chairman Woon Tai Hai said the recent US export curbs on high-end AI chips, such as Nvidia's H100 and A100, are already impacting AI-focused startups, research institutions and data centre operators in Malaysia. 'These chips are crucial for training large AI models and powering generative AI applications. Without them, we're seeing delays in deployment and increased costs for local developers,' he told SunBiz. While some companies are pivoting to older graphic processing unit (GPU) models or exploring Chinese-made alternatives, such as Huawei's Ascend chips, the transition is not seamless. Compatibility issues, software support gaps and geopolitical uncertainty make it a complex adjustment. Meanwhile, electricity and cooling costs have surged, especially with Malaysia's high ambient temperatures pushing the limits of energy efficiency in data centres. Coupled with US tariffs on Malaysian exports and the weakening ringgit, Woon said, the environment is increasingly hostile for small players. 'This triple hit of chip shortages, energy inflation and trade pressure could force some AI projects to downscale or pause altogether.' However, Woon believes this challenge presents a rare opportunity for Malaysia to reposition itself. 'We are still an attractive alternative to Singapore for hyperscalers, especially with land and energy constraints over there,' he said, pointing to recent investments such as Google's RM9.4 billion data centre in Selangor. He added that Malaysia could leverage this disruption to double down on home-grown capabilities, forge new global partnerships beyond the US-China binary and evolve from being just a digital consumer to a true AI contributor. 'This is not just a supply chain issue; it's a wake-up call. If we want to lead in AI, we can't import our way to success,' Woon stressed. Universiti Malaysia Kelantan Institute for Artificial Intelligence and Big Data director Dr Muhammad Akmal Remli warned that Malaysia's long-standing dependency on foreign hardware, cloud platforms and proprietary models has become a strategic liability. 'The AI ecosystem doesn't just rely on talent and data. It runs on compute power and right now, Malaysia doesn't own its compute destiny,' he said. Akmal called for a comprehensive localisation strategy, beginning with substantial investment in foundational AI research and development through universities, public research agencies and long-term national programmes. 'We can't just be training people to use ChatGPT. We need to train them to build the next generation of language models,' he explained. Beyond research and development, Akmal proposed the creation of strategic hardware stockpiles and investment in alternative chip architectures, such as RISC-V, Graphcore and Tenstorrent, to diversify away from US-made GPUs. 'Waiting for supply to return to normal is naive. This is structural, not cyclical,' he warned. Akmal also urged the government to champion a sovereign compute initiative, a state-supported push to establish Malaysia's own high-performance computing infrastructure. 'This is no longer a luxury. We need our own compute backbone to support AI research, secure data hosting and digital services that cannot be outsourced,' he said. While some pilot efforts exist, Akmal noted that they remain fragmented and underfunded. What's missing, he said, is a unified national AI policy that aligns research, compute infrastructure, industry application and talent development under one coordinated strategy. 'Right now, we have isolated efforts by Mimos, Mosti, universities and agencies like MRANTI, but they aren't talking to each other. We need a central AI authority or framework to synchronise this,' he said. Akmal also cautioned that Malaysia's delay in building domestic capacity will ultimately result in higher costs. 'We are not just competing for tech, we're competing for independence. The AI race is about who owns the tools of the future, and right now we're still borrowing them,' he said. Akmal believes that Malaysia still has the talent, infrastructure and investor interest to build a competitive, ethical and independent AI ecosystem, but only if it takes bold steps now. 'AI is not just about innovation anymore. It's about sovereignty, resilience and relevance in a fractured world.'
The Star
a day ago
- The Star
Exclusive-Alphabet's CapitalG, Nvidia in talks to fund Vast Data at up to $30 billion valuation, sources say
FILE PHOTO: An Nvidia logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S. July 31, 2017. REUTERS/Mike Blake/File Photo NEW YORK/SAN FRANCISCO (Reuters) -Alphabet's growth-stage venture arm CapitalGand Nvidia are in talks to invest in artificial intelligence infrastructure provider Vast Data in a new funding round that could value the startup as high as $30 billion, two sources said. The startup is raising severalbillion dollars from tech giants, private equity and venture capital investors, which could make it one of the most valuable AI startups, the two sources with knowledge of the matter said, as companies building the backbone for the AI boom come into sharper focus. CapitalG and existing backer Nvidia are in discussions to participate in the round, which could close in the next few weeks, according to the sources, who requested anonymity to speak on private matters. New York-headquartered Vast Data develops storage technology specifically designed for large AI data centers, enabling efficient data movement between graphics processors (GPUs) made by the likes of Nvidia. Its clients include companies such as Elon Musk's xAI and CoreWeave, and its value in the AI supply chain makes it an attractive acquisition target, bankers and analysts said. Nvidia declined to comment, while Vast Data and CapitalG did not respond to requests for comment. TechCrunch earlier reported Vast Data's fundraising efforts, but the valuation of up to $30 billion and the expected involvement of CapitalG and Nvidia have not been reported previously. Vast Data CEO Renen Halak has said the company is free cash flow positive. The company earned $200 million in annual recurring revenue (ARR) by January 2025, with a strong backlog of orders and projections to grow ARR to $600 million next year, according to a separate source familiar with its financials. The company has raised roughly $380 million to date, and its last funding round in 2023 valued it at $9.1 billion. Vast Data has said it would consider an initial public offering at the right time. While no listing is imminent, according to another source familiar with the matter, investors and bankers view the data infrastructure firm as a likely IPO candidate. Vast Data last year hired Amy Shapero, its first chief financial officer, who was previously in the same role at publicly listed e-commerce giant Shopify, in a move that could signal preparations for an IPO. Mergers and acquisitions activity has also been heating up in the sector, and Nvidia has been acquiring companies that add complementary software and hardware products beyond its flagship GPUs. In 2020, it bought networking chip and cable maker Mellanox, which has helped Nvidia build integrated systems featuring its latest Blackwell chips. Ithas also acquired software companies such as Run:ai, which helps engineers optimize data center AI hardware. Vast Data's storage architecture is based on a system of flash storage devices and other off-the-shelf hardware, combined with its specialized software for data access and movement. The company says adopting its technology can reduce the cost of building and running large AI models. Several early-stage companies, such as Weka and DDN, are pursuing similar efforts, but analysts and industry executives say Vast Data's technology is more mature than that of its rivals. (Reporting by Max A. Cherney in San Francisco and Krystal Hu and Milana Vinn in New York; Additional reporting by Kenrick Cai in San Francisco and Echo Wang in New York; Editing by Sayantani Ghosh and Jamie Freed)
