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The move follows high-level talks involving the Financial Services Agency, the Bank of Japan, national cyber security officials, Mitsubishi UFJ Financial Group, Sumitomo Mitsui Financial Group, Mizuho Financial Group and Japan Exchange Group. The focus is Anthropic’s Mythos, a powerful AI model developed for defensive cyber security work but now regarded by regulators as a potential systemic risk if similar capabilities reach hostile actors.

Finance Minister Satsuki Katayama has framed the issue as an urgent challenge for core financial institutions, warning that Japan’s highly connected financial system could face cascading disruption if attackers used AI to identify and exploit weaknesses before institutions could repair them. No breach linked to Mythos has been reported, but officials are pressing banks to examine incident response plans, software exposure, vendor dependencies and market-continuity arrangements.

Japan tightens bank defences over Mythos as regulators confront a new cyber security problem: an AI tool built to strengthen software security may also demonstrate how fast the balance between defenders and attackers is shifting. Anthropic has said its Mythos Preview found thousands of high-severity vulnerabilities, including flaws affecting every major operating system and web browser. The company has placed the model under restricted access through Project Glasswing, an effort to use frontier AI for defensive discovery before equivalent capabilities spread more widely.

Security specialists see the financial sector as particularly exposed because banks rely on layered infrastructure that includes legacy systems, cloud services, trading platforms, third-party vendors and customer-facing applications. A vulnerability in one component may not remain isolated. Settlement systems, payment networks and securities markets depend on trust, synchronised data and rapid processing, leaving little tolerance for prolonged outages or uncertainty.

Japan’s top lenders have spent heavily on cyber resilience after a series of global incidents involving ransomware, software supply-chain attacks and attacks on critical infrastructure. Yet regulators remain concerned that AI-enabled vulnerability discovery could compress the time between flaw identification and exploitation. Traditional patch cycles often take days or weeks, while advanced models may help attackers generate working exploit paths far faster.

The task force is expected to coordinate technical assessments, information sharing and emergency procedures across the financial sector. Officials are also likely to examine how institutions verify third-party software, monitor anomalous activity and isolate critical operations during a cyber event. For exchanges and clearing systems, the priority will be maintaining orderly trading and settlement even if parts of the technology stack come under pressure.

The concern extends beyond Japan. Regulators in Asia, Europe and the United States have been urging banks to review their cyber controls as AI systems become more capable of code analysis, vulnerability chaining and automated exploitation. The issue has moved from a narrow technology debate into the domain of financial stability, because a successful attack on a major bank or exchange could quickly affect liquidity, confidence and cross-border transactions.

Anthropic has presented Mythos as a controlled defensive tool rather than a public product. The company says the model is intended to help responsible institutions find and fix vulnerabilities before they are misused. That defence has not removed policy concerns. The same capability that enables security teams to uncover hidden bugs can also lower the barrier for sophisticated offensive activity if access controls fail or comparable models emerge elsewhere.

Japan’s response reflects a broader shift in cyber regulation. Authorities are moving away from treating cyber security as a compliance checklist and towards stress-testing how institutions would cope with fast-moving, AI-assisted threats. Banks may face pressure to shorten patching timelines, improve software inventories and strengthen board-level oversight of technology risk.

For Japan, the issue also intersects with its ambition to modernise finance while promoting digital innovation. The country is expanding fintech services, digital payments and AI adoption across corporate operations, but regulators are signalling that innovation must be matched by stronger safeguards. Financial institutions are being asked to prepare for a threat environment in which attackers may use tools that can scan, reason and adapt at machine speed.

The immediate test for the task force will be whether it can turn concern into operational readiness. That means clear reporting channels, shared technical indicators, realistic crisis drills and faster coordination between banks, regulators, exchanges and cyber agencies. Japan’s financial authorities are seeking to prevent an AI-driven security breakthrough from becoming a market-disrupting event.

Recognized for Strategic Excellence in Delivering AI-Ready, Secure, and Integrated Digital Infrastructure

HONG KONG SAR – Media OutReach Newswire – 24 April 2026 – DYXnet, a wholly-owned subsidiary of VNET Group (Nasdaq: VNET) and a leading enterprise network and ICT service provider in Greater China, has been honored the BRONZE STEVIE^® Award for Innovation in Technology Management, Planning & Implementation at the 13th annual Asia-Pacific Stevie^® Awards.

Gaining this prestigious recognition not only affirms DYXnet’s dedication to delivering professional, high-quality ICT services but also underscores its ongoing commitment to advancing with the fast-evolving technological landscape—particularly in the AI era—empowering enterprises to achieve seamless digital transformation through innovative, integrated solutions.

The Asia-Pacific Stevie Awards are the only business awards program to recognize innovation in the workplace in all 29 markets of the Asia-Pacific region. The Stevie Awards are widely considered to be the world’s premier business awards, conferring recognition for achievement in programs such as The International Business Awards^® for 24 years.

This accolade celebrates DYXnet’s proven expertise in guiding enterprises through the complexities of the AI era. By combining thoughtful strategic planning with precise, end-to-end execution, DYXnet has created a powerful, unified infrastructure that seamlessly brings together high-performance AI computing, flexible cloud resources, reliable network connectivity, and comprehensive cybersecurity protections.

This integrated “AI+ Cloud-Network-Cybersecurity” approach empowers businesses to deploy and scale AI initiatives with confidence—whether through rapid private AI environments, intelligent operations automation (AIOps), or tailored enterprise AI applications that enhance decision-making, streamline processes, and boost overall efficiency. It effectively addresses critical demands such as surging computational requirements, secure hybrid environments, regulatory compliance, optimized resource use, and seamless multi-cloud connectivity, all while maintaining robust data protection.

These capabilities have already delivered tangible value across industries: improving production efficiency and security modernization in manufacturing, accelerating R&D cycles in emerging technology sectors, and strengthening operational resilience through compliant, high-performance infrastructure.

As a trusted enterprise network service provider in Hong Kong and Greater China, DYXnet places strong emphasis on the transformative power of AI. The company is committed to empowering enterprises with greater agility, resilience, and innovation through its one-stop “AI + Cloud + Network + Cybersecurity” solutions, and was amongst the first ICT service providers in the regions to obtain the prestigious ISO/IEC 42001 certification for AI management systems last year. The company continues to turn strategic vision into tangible outcomes, enabling enterprises to achieve secure, intelligent, and sustainable growth in the rapidly evolving digital landscape.

Hashtag: #DYXnet #第一線 #AI #雲網安

https://www.linkedin.com/company/90470

The issuer is solely responsible for the content of this announcement.

About DYXnet

DYXnet, established in 1999 in Hong Kong, became a wholly-owned subsidiary of VNET Group, Inc. (NASDAQ: VNET) in 2014. It is a leading ICT service provider in Hong Kong and the Asia Pacific region, delivering innovative technologies and solutions to enterprises of all sizes and helping them fully embrace digital transformation. DYXnet offers a comprehensive portfolio of services, including enterprise networks (MPLS and SD-WAN), cloud solutions, data center services, cybersecurity, and AI solutions, empowering businesses to realize their full potential.

Being a pioneer in the ICT sector, DYXnet operates over 200 PoPs worldwide, covering more than 700 cities and serving over 30,000 client sites. DYXnet was among the first ICT service providers in the region to obtain prestigious ISO certifications, including ISO/ IEC 42001, ISO/IEC 27001, ISO/IEC 20000, and ISO 9001. Additionally, DYXnet is one of the inaugural official members of the China Cross-border Data Telecommunications Industry Alliance and has played a crucial role as one of the initial drafting units for SD-WAN service standards.

The AI Compute Continuum: from intelligent endpoints to advanced AI workloads

SINGAPORE – Media OutReach Newswire – 22 April 2026 – Dell Technologies (NYSE: DELL) today outlined how enterprise AI adoption across Asia Pacific (APAC) is moving from experimentation to implementation, with 48% of organisations with more than 500 employees in the region already deploying AI PCs and 95% expecting workstations to play a critical or important role in AI initiatives over the next two years. Together, these trends point to a more distributed AI environment – one that brings intelligence closer to users while supporting increasingly complex and compute-intensive workloads.

Two IDC InfoBriefs, commissioned by Dell Technologies and Intel reinforce this shift – Future-Ready Workforce: The Strategic Case for AI PC Adoption and Powering Future-Ready Computing with Workstations: Built for AI. Built for You. The research highlights growing enterprise momentum behind both intelligent endpoints and higher-performance systems as organisations shape the next phase of AI adoption.

For Dell, this shift reflects a broader industry trend toward aligning the right compute resources with specific workload requirements, as organisations balance intelligent endpoints for everyday productivity with high-performance systems designed for advanced AI and professional use cases. Enterprise AI deployments are increasingly spanning client devices, edge environments and the data centre, reflecting a more distributed approach across the IT environment.

AI PCs: Bringing intelligence closer to everyday work

AI PCs are becoming a core component of the modern workplace, enabling AI workloads to run directly on the device to deliver faster, more responsive user experiences while reducing reliance on continuous cloud connectivity. This approach also supports enhanced data privacy and security, provides IT teams with greater control over deployment and management across device fleets, and enables more consistent scaling of AI capabilities across the workforce.

The IDC research commissioned by Dell Technologies and Intel underscores this momentum. As AI becomes embedded in day-to-day work, device strategy is shifting accordingly. 89% of APAC organisations now consider AI capabilities a very important factor in future PC purchasing decisions.

In Singapore, 54% of organisations have already deployed AI PCs – 12% higher than the regional average – highlighting strong early adoption momentum. Southeast Asia’s AI PC adoption is outpacing the regional average by 6%, driven by the ability to adopt new technologies without legacy constraints, strong infrastructure in markets like Singapore, favourable market conditions and supportive government initiatives.

APAC Organisations with over 50% AI PCs in their fleet report saving 2.17 hours per employee per day, a 30% productivity increase compared to using AI on traditional PCs. AI PCs are enabling a new class of enterprise use cases – from real-time collaboration and report generation to natural language search and content creation – delivering tangible productivity gains.

In practical terms, this can translate into faster proposal turnaround for sales teams, quicker analysis cycles for finance and operations, streamlined drafting for HR, faster document review for engineering teams, and more responsive support for customer-facing employees. As organisations prepare for more autonomous and agentic AI in hybrid work environments, AI PCs are increasingly becoming the governed way to scale intelligent experiences across the workforce – safely, consistently, and with clearer business impact.

Four out of five APAC organisations expect AI PCs to drive adoption of agentic AI, with the same proportion agreeing they enhance control and security for these applications. The broader momentum is clear: within APAC, 84% of organisations expect AI PCs to increase employee productivity, while 78% cite security benefits and 77% highlight cost advantages of running AI locally.

This shift is leading to a tangible investment. Across APAC, 65% of organisations are willing to pay a premium of 10% or more for AI PCs, reflecting their role as core infrastructure for enterprise AI.

Workstations: Powering advanced AI and specialised workloads

While AI PCs distribute intelligence across the workforce, workstations continue to serve as the performance backbone for more demanding workloads – particularly as organisations shift more AI development on-premise. Developers, engineers, designers, and data teams rely on workstation-class systems for AI model development, simulation, rendering, data preparation, and other compute-intensive activities that require reliability, low latency, and sustained performance.

The IDC research on workstations reflects this reality. 95% of organisations across APAC expect workstations to play a critical or important role in AI initiatives over the next two years, while 50% would choose a workstation as their preferred device for AI development, and 97% of organisations agree workstations are high-performance devices that fuel innovation for the organisation by empowering teams to explore cutting-edge technology like AI and Machine Learning models.

Across Southeast Asia, 92% of organisations surveyed reported higher productivity among workstation users, while 52% expect the share of workstations in their fleet to grow over the next five years. Organisations in this part of the region also reported workstation use for data preparation (66%), model fine-tuning (62%), and foundational model training (55%), underscoring the role of high-performance systems in advanced AI and professional workloads.

Use cases vary by sector – from engineering and architecture workflows in manufacturing, to content rendering in media, software development in technology, and risk modelling in financial services. AI has become the top technical computing use case for workstations, supporting the full lifecycle from data preparation (62%) and model training (60%) to fine-tuning (59%), deployment (44%) and inference (29%).

This also shifts the conversation from upfront device price to total cost of ownership – including lifecycle longevity, scalability, performance consistency, and risk reduction. As AI initiatives move closer to production, workstations are increasingly seen as long-term platforms that can scale with evolving workloads, rather than short-term tools for experimentation.

Toward an AI compute continuum that supports the next phase of enterprise AI

Together, AI PCs and workstations form an AI compute continuum, supporting everything from everyday productivity to advanced AI development and professional workloads across the enterprise.

For organisations across Asia Pacific, the next phase of AI will not be defined by a single environment or device category, but by the ability to place the right workload on the right compute. AI PCs are extending AI into everyday workflows, while workstations are helping organisations industrialise more advanced, compute-intensive, and specialised AI use cases. Combined, they give leaders a more practical foundation for scaling AI with greater speed, control, and long-term value.

Perspectives:

“AI is changing where work happens and where intelligence needs to live,” said Jacinta Quah, vice president, client solutions group, Asia Pacific, Japan and Greater China (APJC), Dell Technologies. “AI PCs and workstations are not simply device categories in a refresh cycle – they are foundational platforms built for the next phase of enterprise AI era. AI PCs bring intelligence to everyday workflows, at the fingertips of employees where data is generated. Meanwhile, workstations provide the performance and control needed for more specialised, compute-intensive workloads. Together, they enable organisations to scale AI more effectively, strengthen security and privacy, and drive meaningful business outcomes.”

“AI is placing new demands on compute, requiring both local intelligence and high-performance processing to work seamlessly together,” said Jack Huang, regional sales director, PC client commercial and channel, Asia Pacific and Japan, Intel. “As AI workloads become more diverse, organisations need silicon innovations and platforms that can support both efficient on-device experiences and more demanding workstation use cases. Together with Dell, we are helping to enable the next phase of enterprise AI with technologies built for responsiveness, efficiency and scale.”

“The speed at which AI models are being compressed to run on-device has been remarkably fast,” said Bryan Ma, vice president, client devices, IDC. “In the next year or two, very robust models will run on PCs that far exceed today’s capabilities. At the same time, organisations continue to depend on high-performance workstations for advanced AI development and specialised workloads, reinforcing a more distributed AI environment across the enterprise.”

Research Methodology:
The findings are based on two IDC InfoBriefs:

• IDC InfoBrief, sponsored by Dell Technologies and Intel, Future-ready Workforce: The Strategic Case for AI PC Adoption, Doc. #AP242547IB, January 2026
• IDC InfoBrief, sponsored by Dell Technologies and Intel, Powering Future-Ready Computing with Workstations: Built for AI. Built for You, Doc. #AP242550IB, February 2026

Future-ready Workforce: The Strategic Case for AI PC Adoption is based on a survey of 720 IT and business decision-makers across Asia Pacific organisations with more than 500 employees. Powering Future-Ready Computing with Workstations: Built for AI. Built for You surveyed 960 IT and business decision-makers in the region to assess workstation adoption, usage, and their role in enterprise AI strategies.
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The issuer is solely responsible for the content of this announcement.

About Dell Technologies

Dell Technologies (NYSE: DELL) helps organisations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the AI era.