Critical infrastructure

CERN unveils AI strategy to advance research and operations

CERN has approved a comprehensive AI strategy to guide its use across research, operations, and administration. The strategy unites initiatives under a coherent framework to promote responsible and impactful AI for science and operational excellence.

It focuses on four main goals: accelerating scientific discovery, improving productivity and reliability, attracting and developing talent, and enabling AI at scale through strategic partnerships with industry and member states.

Common tools and shared experiences across sectors will strengthen CERN’s community and ensure effective deployment.

Implementation will involve prioritised plans and collaboration with EU programmes, industry, and member states to build capacity, secure funding, and expand infrastructure. Applications of AI will support high-energy physics experiments, future accelerators, detectors, and data-driven decision-making.

AI is now central to CERN’s mission, transforming research methodologies and operations. From intelligent automation to scalable computational insight, the technology is no longer optional but a strategic imperative for the organisation.

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Agentic AI drives a new identity security crisis

New research from Rubrik Zero Labs warns that agentic AI is reshaping the identity landscape faster than organisations can secure it.

The study reveals a surge in non-human identities created through automation and API driven workflows, with numbers now exceeding human users by a striking margin.

Most firms have already introduced AI agents into their identity systems or plan to do so, yet many struggle to govern the growing volume of machine credentials.

Experts argue that identity has become the primary attack surface as remote work, cloud adoption and AI expansion remove traditional boundaries. Threat actors increasingly rely on valid credentials instead of technical exploits, which makes weaknesses in identity governance far more damaging.

Rubrik’s researchers and external analysts agree that a single compromised key or forgotten agent account can provide broad access to sensitive environments.

Industry specialists highlight that agentic AI disrupts established IAM practices by blurring distinctions between human and machine activity.

Organisations often cannot determine whether a human or an automated agent performed a critical action, which undermines incident investigations and weakens zero-trust strategies. Poor logging, weak lifecycle controls and abandoned machine identities further expand the attack surface.

Rubrik argues that identity resilience is becoming essential, since IAM tools alone cannot restore trust after a breach. Many firms have already switched IAM providers, reflecting widespread dissatisfaction with current safeguards.

Analysts recommend tighter control of agent creation, stronger credential governance and a clearer understanding of how AI-driven identities reshape operational and security risks.

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Microsoft expands AI model Aurora to improve global weather forecasts

Extreme weather displaced over 800,000 people worldwide in 2024, highlighting the importance of accurate forecasts for saving lives, protecting infrastructure, and supporting economies. Farmers, coastal communities, and energy operators rely on timely forecasts to prepare and respond effectively.

Microsoft is reaffirming its commitment to Aurora, an AI model designed to help scientists better understand Earth systems. Trained on vast datasets, Aurora can predict weather, track hurricanes, monitor air quality, and model ocean waves and energy flows.

The platform will remain open-source, enabling researchers worldwide to innovate, collaborate, and apply it to new climate and weather challenges.

Through partnerships with Professor Rich Turner at the University of Cambridge and initiatives like SPARROW, Microsoft is expanding access to high-quality environmental data.

Community-deployable weather stations are improving data coverage and forecast reliability in underrepresented regions. Aurora’s open-source releases, including model weights and training pipelines, will let scientists and developers adapt and build upon the platform.

The AI model has applications beyond research, with energy companies, commodity traders, and national meteorological services exploring its use.

By supporting forecasting systems tailored to local environments, Aurora aims to improve resilience against extreme weather, optimise renewable energy, and drive innovation across multiple industries, from humanitarian aid to financial services.

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Anthropic uncovers a major AI-led cyberattack

The US R&D firm, Anthropic, has revealed details of the first known cyber espionage operation largely executed by an autonomous AI system.

Suspicious activity detected in September 2025 led to an investigation that uncovered an attack framework, which used Claude Code as an automated agent to infiltrate about thirty high-value organisations across technology, finance, chemicals and government.

The attackers relied on recent advances in model intelligence, agency and tool access.

By breaking tasks into small prompts and presenting Claude as a defensive security assistant instead of an offensive tool, they bypassed safeguards and pushed the model to analyse systems, identify weaknesses, write exploit code and harvest credentials.

The AI completed most of the work with only a few moments of human direction, operating at a scale and speed that human hackers would struggle to match.

Anthropic responded by banning accounts, informing affected entities and working with authorities as evidence was gathered. The company argues that the case shows how easily sophisticated operations can now be carried out by less-resourced actors who use agentic AI instead of traditional human teams.

Errors such as hallucinated credentials remain a limitation, yet the attack marks a clear escalation in capability and ambition.

The firm maintains that the same model abilities exploited by the attackers are needed for cyber defence. Greater automation in threat detection, vulnerability analysis and incident response is seen as vital.

Safeguards, stronger monitoring and wider information sharing are presented as essential steps for an environment where adversaries are increasingly empowered by autonomous AI.

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Digital ID arrives for Apple users

Apple has introduced Digital ID, a new feature that lets users create an identification card in Apple Wallet using information from a US passport.

The feature launches in beta at Transportation Security Administration checkpoints across more than two hundred and fifty airports for domestic travel, instead of relying solely on physical documentation.

It offers an alternative for users who lack a Real ID-compliant card while not replacing a physical passport for international journeys.

Users set up a Digital ID by scanning the passport’s photo page, reading the chip on the back of the document, and completing facial movements for verification.

Once added, the ID can be presented with an iPhone or Apple Watch by holding the device near an identity reader and confirming the request with Face ID or Touch ID. New verification options for in-person checks at selected businesses, apps and online platforms are planned.

The company highlights privacy protection by storing passport data only on the user’s device, instead of Apple’s servers. Digital ID information is encrypted and cannot be viewed by Apple, and biometric authentication ensures that only the owner can present the identity.

Only the required information is shared during each transaction, and the user must approve it before it is released.

The launch expands Apple Wallet’s existing support for driver’s licences and state IDs, which are already available in twelve states and Puerto Rico. Recent months have added Montana, North Dakota and West Virginia, and Japan adopted the feature with the My Number Card.

Apple expects Digital ID to broaden secure personal identification across more services over time.

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Baidu launches new AI chips amid China’s self-sufficiency push

In a strategic move aligned with national technology ambitions, Baidu announced two newly developed AI chips, the M100 and the M300, at its annual developer and client event.

The M100, designed by Baidu’s chip subsidiary Kunlunxin Technology, targets inference efficiency for large models using mixture-of-experts techniques, while the M300 is engineered for training very large multimodal models comprising trillions of parameters.

The M100 is slated for release in early 2026 and the M300 in 2027, according to Baidu, which claims they will deliver ‘powerful, low-cost and controllable AI computing power’ to support China’s drive for technological self-sufficiency.

Baidu also revealed plans for clustered architectures such as the Tianchi256 stack in the first half of 2026 and the Tianchi512 in the second half of 2026, intended to boost inference capacity through large-scale interconnects of chips.

This announcement illustrates how China’s tech ecosystem is accelerating efforts to reduce dependence on foreign silicon, particularly amid export controls and geopolitical tensions. Domestically-designed AI processors from Baidu and other firms such as Huawei Technologies, Cambricon Technologies and Biren Technology are increasingly positioned to substitute for western hardware platforms.

From a policy and digital diplomacy perspective, the development raises questions about the global semiconductor supply chain, standards of compute sovereignty and how AI-hardware competition may reshape power dynamics.

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Romania pilots EU Digital Identity Wallet for payments

In a milestone for the European digital identity ecosystem, Banca Transilvania and payments-tech firm BPC have completed the first pilot in Romania using the EU Digital Identity Wallet (EUDIW) for a real-money transaction.

The initiative lets a cardholder authenticate a purchase using the wallet rather than a conventional one-time password or card reader.

The pilot forms part of a large-scale testbed led by the European Commission under the eIDAS 2 Regulation, which requires all EU banks to accept the wallet for strong customer authentication and KYC (know-your-customer) purposes by 2027.

Banca Transilvania’s Deputy CEO Retail Banking, Oana Ilaş, described the project as a historic step toward a unified European digital identities framework that enhances interoperability, inclusivity and banking access.

From a digital governance and payments policy perspective, this pilot is significant. It shows how national banking systems are beginning to integrate digital-ID wallets into card and account-based flows, potentially reducing reliance on legacy authentication mechanisms (such as SMS OTP or hardware tokens) that are vulnerable to fraud.

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UAE executes first government payment using Digital Dirham

The United Arab Emirates has completed its first government financial transaction using the Digital Dirham, marking a significant milestone in its transition towards a fully digital economy.

The Ministry of Finance and Dubai Finance carried out the transaction in collaboration with the Central Bank of the UAE, confirming the country’s leadership in advancing next-generation financial technologies.

Part of the Central Bank’s Financial Infrastructure Transformation Programme, the pilot phase of the Digital Dirham aims to accelerate digital payment adoption and strengthen the UAE’s position as a global financial hub.

Senior officials, including Sheikh Mansour bin Zayed Al Nahyan and Sheikh Maktoum bin Mohammed bin Rashid Al Maktoum, described the initiative as a strategic step toward improving transparency, efficiency, and integration across government financial systems.

The first pilot transaction was executed through the government payments platform mBridge, which facilitates instant settlements using central bank digital currencies.

A transaction was completed in under two minutes, demonstrating the system’s technical efficiency and reliability. The mBridge platform, fully integrated with the Digital Dirham initiative, enables secure, intermediary-free settlements, reducing costs while improving accuracy and transparency.

Officials emphasised that the Digital Dirham will serve as a cornerstone for a sustainable digital economy, reinforcing national financial stability and global competitiveness.

The initiative reflects the UAE’s commitment to adopting cutting-edge technologies that promote integration and innovation across the public and private sectors.

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Αnthropic pledges $50 billion to expand the US AI infrastructure

The US AI safety and research company, Anthropic, has announced a $50 billion investment to expand AI computing infrastructure inside the country, partnering with Fluidstack to build data centres in Texas and New York, with additional sites planned.

These facilities are designed to optimise efficiency for Anthropic’s workloads, supporting frontier research and development in AI.

The project is expected to generate approximately 800 permanent jobs and 2,400 construction positions as sites come online throughout 2026.

An investment that aligns with the Trump administration’s AI Action Plan, aiming to maintain the US leadership in AI while strengthening domestic technology infrastructure and competitiveness.

Dario Amodei, CEO and co-founder of Anthropic, highlighted the importance of such an infrastructure in developing AI systems capable of accelerating scientific discovery and solving complex problems.

The company serves over 300,000 business customers, with a sevenfold growth in large accounts over the past year, demonstrating strong market demand for its Claude AI platform.

Fluidstack was selected as Anthropic’s partner for its agility in rapidly deploying high-capacity infrastructure. The collaboration aims to provide cost-effective and capital-efficient solutions to meet the growing demand, ensuring that research and development can continue to be at the forefront of AI innovation.

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Meta expands AI infrastructure with $1 billion sustainable facility

The US tech giant, Meta, has announced the construction of its 30th data centre in Beaver Dam, Wisconsin, a $1 billion investment that will power the company’s growing AI infrastructure while benefiting the local community and environment.

A facility, designed to support Meta’s most demanding AI workloads, that will run entirely on clean energy and create more than 100 permanent jobs alongside 1,000 construction roles.

The company will invest nearly $200 million in energy infrastructure and donate $15 million to Alliant Energy’s Hometown Care Energy Fund to assist families with home energy costs.

Meta will also launch community grants to fund schools and local organisations, strengthening technology education and digital skills while helping small businesses use AI tools more effectively.

Environmental responsibility remains central to the project. The data centre will use dry cooling, eliminating water demands during operation, and restore 100% of consumed water to local watersheds.

In partnership with Ducks Unlimited, Meta will revitalise 570 acres of wetlands and prairie, transforming degraded habitats into thriving ecosystems. The facility is expected to achieve LEED Gold Certification, reflecting Meta’s ongoing commitment to sustainability and community-focused innovation.

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