Critical infrastructure Archives | Page 41 of 150

Nokia to invest 4 billion in AI-ready US networks

Nokia has announced a $4 billion expansion of its US research, development, and manufacturing operations to accelerate AI-ready networking technologies. The move builds on Nokia’s earlier $2.3 billion US investment via Infinera and semiconductor manufacturing plans.

The expanded investment will support mobile, fixed access, IP, optical, data centre networking, and defence solutions. Approximately $3.5 billion will be allocated for R&D, with $500 million dedicated to manufacturing and capital expenditures in Texas, New Jersey, and Pennsylvania.

Nokia aims to advance AI-optimised networks with enhanced security, productivity, and energy efficiency. The company will also focus on automation, quantum-safe networks, semiconductor testing, and advanced material sciences to drive innovation.

Officials highlight the strategic impact of Nokia’s US investment. Secretary of Commerce Howard Lutnick praised the plan for boosting US tech capacity, while CEO Justin Hotard said it would secure the future of AI-driven networks.

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VPN credential theft emerges as top ransomware entry point

Cyber Express reports that compromised VPN credentials are now the most common method for ransomware attackers to gain entry. In Q3 2025, nearly half of all ransomware incidents began with valid, stolen VPN logins.

The analysis, based on data from Beazley Security (the insurance arm of Beazley), reveals that threat actors are increasingly exploiting remote access tools, rather than relying solely on software exploits or phishing.

Notably, VPN misuse accounted for more initial access than social engineering, supply chain attacks or remote desktop credential compromises.

One contributing factor is that many organisations do not enforce multi-factor authentication (MFA) or maintain strict access controls for VPN accounts. Cyber Express highlights that this situation underscores the ‘critical need’ for MFA and for firms to monitor for credential leaks on the dark web.

The report also mentions specific ransomware groups such as Akira, Qilin and INC, which are known to exploit compromised VPN credentials, often via brute-force attacks or credential stuffing.

From a digital-security policy standpoint, the trend has worrying implications. It shows how traditional perimeter security (like VPNs) is under pressure, and reinforces calls for zero-trust architectures, tighter access governance and proactive credentials-monitoring.

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Popular Python AI library compromised to deliver malware

Security researchers have confirmed that the Ultralytics YOLO library was hijacked in a supply-chain attack, where attackers injected malicious code into the PyPI-published versions 8.3.41 and 8.3.42. When installed, these versions deployed the XMRig cryptominer.

The compromise stemmed from Ultralytics’ continuous-integration workflow: by exploiting GitHub Actions, the attackers manipulated the automated build process, bypassing review and injecting cryptocurrency mining malware.

The maintainers quickly removed the malicious versions and released a clean build (8.3.43); however, newer reports suggest that further suspicious versions may have appeared.

This incident illustrates the growing risk in AI library supply chains. As open-source AI frameworks become more widely used, attackers increasingly target their build systems to deliver malware, particularly cryptominers.

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Bangladesh unveils national roadmap for ethical AI development

Bangladesh has launched its first national AI Readiness Assessment Report to guide ethical, inclusive and rights-centred development of AI across public services.

The report was unveiled in Dhaka with representatives from government, international organisations, academia, civil society and the private sector. Officials described the assessment as a pivotal step as the country prepares for an increasingly AI-driven era.

The report outlines Bangladesh’s current strengths, including solid progress in e-government and high public trust in digital services, while also identifying areas requiring urgent attention.

Connectivity gaps, digital divides, limited computing capacity and the need for stronger data protection and cybersecurity remain key challenges. Policymakers noted that evidence-based decisions are essential as Bangladesh completes its National AI Policy.

International partners highlighted that the direction of AI development will depend heavily on choices made today. Strengthening digital infrastructure, improving skills, and building rights-driven governance structures were cited as central to ensuring AI benefits all communities.

Stakeholders also stressed the importance of using AI to improve services across health, education, justice and social protection without deepening existing inequalities.

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Google launches AI skilling blueprint to close Africa’s skills gap

Google has launched an AI Skilling Blueprint for Africa, activating a $7.5 million commitment to support expert local organisations in training talent. An additional $2.25 million will be used to modernise public data infrastructure.

The initiative aims to address the continent’s widening AI skills gap, where over half of businesses report the biggest barrier to growth is a shortage of qualified professionals.

The framework identifies three core groups for development. AI Learners build foundational AI skills, AI Implementers upskill professionals across key sectors, and AI Innovators develop experts and entrepreneurs to create AI solutions suited to African contexts.

Partner organisations include FATE Foundation, the African Institute for Mathematical Sciences, JA Africa and the CyberSafe Foundation.

Complementing talent development, the initiative supports the creation of a Regional Data Commons through funding from Google.org and the Data Commons initiative, in partnership with UNECA, UN DESA and PARIS21.

High-quality, trustworthy data will enable African institutions to make informed decisions, drive innovation in public health, food security, economic planning, and ultimately strengthen a sustainable AI ecosystem across the continent.

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AI data centre boom drives global spike in memory chip prices

The rapid expansion of AI data centres is pushing up memory chip prices and straining an already tight supply chain. DRAM costs are rising as manufacturers prioritise high-bandwidth memory for AI systems, leaving fewer components available for consumer devices.

The shift is squeezing supply across sectors that depend on standard DRAM, from PCs and smartphones to cars and medical equipment. Analysts say the imbalance is driving up component prices quickly, with Samsung reportedly raising some memory prices by as much as 60%.

Rising demand for HBM reflects the needs of AI clusters, which rely on vast memory pools alongside GPUs, CPUs and storage. But with only a handful of major suppliers, including Samsung, SK Hynix, and Micron, the surge is pushing prices across the market higher.

Industry researchers warn that rising memory costs will likely be passed on to consumers, especially in lower-priced laptops and embedded systems. Makers may switch to cheaper parts or push suppliers for concessions, but the overall price trend remains upward.

While memory is known for cyclical booms and busts, analysts say the global race to build AI data centres makes it difficult to predict when supply will stabilise. Until then, higher memory prices look set to remain a feature of the market.

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NVIDIA AI transforms smart cities

Cities worldwide face increasing operational challenges as populations grow and infrastructure becomes strained. Traffic congestion, emergency response coordination, and fragmented data pipelines make it difficult for local authorities to obtain real-time insights for effective decision-making.

NVIDIA’s Blueprint for smart city AI, combined with OpenUSD digital twins, allows cities to simulate complex scenarios and generate accurate sensor data.

These digital twins enable authorities to test urban systems, train vision AI models, and deploy real-time AI agents for tasks such as video analytics, emergency response, and traffic monitoring.

Severa l cities and organisations have adopted these technologies with measurable results. Kaohsiung City reduced incident response times by 80%, Raleigh achieved 95% vehicle detection accuracy, and French rail networks cut energy use by 20%.

Applications range from optimising rail operations to automating street inspections and video review.

By integrating AI-driven insights into city management, authorities can shift from reactive measures to proactive operations. Simulation, monitoring, and analysis tools improve infrastructure planning, enhance efficiency, and allow urban systems to respond dynamically to emerging situations.

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Rising data demand powers India’s 5G surge

India is forecast to surpass one billion 5G subscriptions by the end of 2031. Ericsson’s latest Mobility Report highlights the rapid uptake in a market that is already leading global data consumption.

The study estimates that there will be approximately 394 million Indian 5G subscriptions by the end of 2025, roughly one-third of all connections. The average monthly mobile data usage per smartphone is expected to increase from 36GB today to 65GB by 2031.

Ericsson expects global 5G subscriptions to reach 6.4 billion by 2031, accounting for around two-thirds of all mobile lines. Affordable 5G phones, expanding networks and fixed wireless access services are credited with driving worldwide adoption.

Industry leaders say 5G already underpins key digital services, from streaming platforms to industrial automation and remote education. Analysts predict rising data use will spur further investment in Indian telecom infrastructure and cloud-based services.

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UK unveils major push to drive national AI growth

A significant wave of public and private investment is set to place AI at the centre of the UK’s growth strategy. AI Growth Zones backed by substantial investment will drive job creation, high-tech infrastructure and local industry development across regions such as South Wales, London and Bristol.

Government officials stated that the measures aim to provide British firms with the tools necessary to scale and compete globally.

South Wales will host a significant £10 billion development expected to create over 5,000 jobs in the next decade. The zone will focus on data centres, advanced computing and AI research, supported by government funding for skills development and business adoption.

International tech companies expanding in the UK include Microsoft, Vantage Data Centres, Groq and Perplexity AI, each committing to new sites and enlarged workforces.

Further support will expand access to computing for researchers and start-ups nationwide. A government-backed advance market commitment worth up to £100 million will help hardware-focused AI firms secure their first key customers.

Officials confirmed nearly £500 million for the Sovereign AI Unit, which will scale domestic capabilities and back high-potential firms. Up to £137 million will also support the UK’s new AI-for-science strategy, which focuses on accelerating drug discovery and other breakthroughs.

Government representatives and industry leaders described the announcements as a turning point for the UK’s innovation capacity. Supporters say the measures will strengthen Britain’s tech leadership while creating jobs, boosting regional economies and advancing scientific progress.

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KT launches secure public cloud with Microsoft for South Korean enterprises

The telco firm, KT Corp, has introduced a Secure Public Cloud service in partnership with Microsoft, designed to meet South Korea’s stringent data sovereignty demands instead of relying solely on global cloud platforms.

Built on Microsoft Azure, the platform targets sectors such as finance and manufacturing, offering high-performance computing while ensuring all data remains stored and processed domestically.

A service that is based on three pillars: end-to-end data protection, enhanced enterprise control over cloud resources, and strict compliance with the residency requirements of South Korea.

Confidential computing encrypts data even during in-memory execution, while a managed hardware security module allows customers to fully own and manage encryption keys, enabling true end-to-end protection.

KT said the platform is particularly suitable for AI training, transaction-heavy applications, and operational workloads where data exposure could pose major risks.

By combining domestic governance with the flexibility and scalability of Azure, the company aims to give enterprises a reliable cloud solution without compromising performance or compliance.

The launch also strengthens KT’s broader cloud ecosystem, which includes KT Cloud and managed global cloud services like AWS.

KT plans to expand the Secure Public Cloud gradually across industries, responding to rising demand from organizations that need robust domestic data controls instead of facing the risks of cross-border data exposure.

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