Cybersecurity

Education for Countries programme signals OpenAI push into public education policy

OpenAI has launched the Education for Countries programme, a new global initiative designed to support governments in modernising education systems and preparing workforces for an AI-driven economy.

The programme responds to a widening gap between rapid advances in AI capabilities and people’s ability to use them effectively in everyday learning and work.

Education systems are positioned at the centre of closing that gap, as research suggests a significant share of core workplace skills will change by the end of the decade.

By integrating AI tools, training and research into schools and universities, national education frameworks can evolve alongside technological change and better equip students for future labour markets.

The programme combines access to tools such as ChatGPT Edu and advanced language models with large-scale research on learning outcomes, tailored national training schemes and internationally recognised certifications.

A global network of governments, universities and education leaders will also share best practices and shape responsible approaches to AI use in classrooms.

Initial partners include Estonia, Greece, Italy, Jordan, Kazakhstan, Slovakia, Trinidad and Tobago and the United Arab Emirates. Early national rollouts, particularly in Estonia, already involve tens of thousands of students and educators, with further countries expected to join later in 2026.

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Burkina Faso pushes digital sovereignty through national infrastructure supervision

Burkina Faso has launched work on a Digital Infrastructure Supervision Centre as part of a broader effort to strengthen national oversight of digital public infrastructure and reduce exposure to external digital risks.

The project forms a core pillar of the government’s digital sovereignty strategy amid rising cybersecurity threats across public systems.

Led by the Ministry of Digital Transition, Posts and Electronic Communications, the facility is estimated to cost $5.4 million and is scheduled for completion by October.

Authorities state that the centre will centralise oversight of the national backbone network, secure cyberspace operations and supervise the functioning of domestic data centres instead of relying on external monitoring mechanisms.

Government officials argue that the supervision centre will enable resilient and sovereign management of critical digital systems while supporting a policy requiring sensitive national data to remain within domestic infrastructure.

The initiative also complements recent investments in biometric identity systems and regional digital identity frameworks.

Beyond infrastructure security, the project is positioned as groundwork for future AI adoption by strengthening sovereign data and connectivity systems.

The leadership of Burkina Faso continues to emphasise digital autonomy as a strategic priority across governance, identity management and emerging technologies.

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EU cyber rules target global tech dependence

The European Union has proposed new cybersecurity rules aimed at reducing reliance on high-risk technology suppliers, particularly from China. In the European Union, policymakers argue existing voluntary measures failed to curb dependence on vendors such as Huawei and ZTE.

The proposal would introduce binding obligations for telecom operators across the European Union to phase out Chinese equipment. At the same time, officials have warned that reliance on US cloud and satellite services also poses security risks for Europe.

Despite increased funding and expanded certification plans, divisions remain within the European Union. Countries including Germany and France support stricter sovereignty rules, while others favour continued partnerships with US technology firms.

Analysts say the lack of consensus in the European Union could weaken the impact of the reforms. Without clear enforcement and investment in European alternatives, Europe may struggle to reduce dependence on both China and the US.

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WEF paper warns of widening AI investment gap

Policy-makers are being urged to take a more targeted approach to ‘sovereign AI’ spending, as a new paper released alongside the World Economic Forum meeting in Davos argues that no country can realistically build every part of the AI stack alone. Instead, the authors recommend treating AI sovereignty as ‘strategic interdependence’, combining selective domestic investment with trusted partnerships and alliances.

The paper, co-authored by the World Economic Forum and Bain & Co, highlights how heavily the United States and China dominate the global AI landscape. It estimates that the two countries capture around 65% of worldwide investment across the AI value chain, reflecting a full-stack model, from chips and cloud infrastructure to applications, that most other economies cannot match at the same scale.

For smaller and mid-sized economies, that imbalance can translate into a competitive disadvantage, because AI infrastructure, such as data centres and computing capacity, is increasingly viewed as the backbone of national AI capability. Still, the report argues that faster-moving countries can carve out a niche by focusing on a few priority areas, pooling regional capacity, or securing access through partnerships rather than trying to replicate the US-China approach.

The message was echoed in Davos by Nvidia chief executive Jensen Huang, who said every country should treat AI as essential infrastructure, comparable to electricity grids and transport networks. He argued that building AI data centres could drive demand for well-paid skilled trades, from electricians and plumbers to network engineers, framing the boom as a major job creator rather than a trigger for widespread job losses.

At the same time, the paper warns that physical constraints could slow expansion, including the availability of land, energy and water, as well as shortages of highly skilled workers. It also notes that local regulation can delay projects, although some industry groups argue that regulatory and cost pressures may push countries to innovate sooner in efficiency and greener data-centre design.

In the UK, industry body UKAI says high energy prices, limited grid capacity, complex planning rules and public scrutiny already create the same hurdles many other countries may soon face. It argues these constraints are helping drive improvements in efficiency, system design and coordination, seen as building blocks for more sustainable AI infrastructure.

Diplo is live reporting on all sessions from the World Economic Forum 2026 in Davos.

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OpenAI ads in ChatGPT signal a shift in conversational advertising

The AI firm, OpenAI, plans to introduce advertising within ChatGPT for logged-in adult users, marking a structural shift in how brands engage audiences through conversational interfaces.

Ads would be clearly labelled and positioned alongside responses, aiming to replace interruption-driven formats with context-aware brand suggestions delivered during moments of active user intent.

Industry executives describe conversational AI advertising as a shift from exposure to earned presence, in which brands must provide clarity or utility to justify inclusion.

Experts warn that trust remains fragile, as AI recommendations carry the weight of personal consultation, and undisclosed commercial influence could prompt rapid user disengagement instead of passive ad avoidance.

Regulators and marketers alike highlight risks linked to dark patterns, algorithmic framing and subtle manipulation within AI-mediated conversations.

As conversational systems begin to shape discovery and decision-making, media planning is expected to shift toward intent-led engagement, authority-building, and transparency, reshaping digital advertising economics beyond search rankings and impression-based buying.

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Rethinking the digital embassy concept

The term ‘digital embassy’ has been floating around for years, but it often adds more confusion than clarity. In his blog ‘What is a ‘digital embassy’? (Spoiler: It’s not an embassy)’, Jovan Kurbalija argues that the phrase is a misnomer in a field already crowded with overlapping labels like digital diplomacy, cyber diplomacy, and tech diplomacy.

The expression became popular after Estonia, in 2017, set up an offshore backup of national data on servers in Luxembourg under diplomatic protection. The idea was innovative, but Kurbalija stresses that a protected data vault is not an embassy in the traditional sense; it does not represent a country, negotiate on its behalf, or engage with the host society.

He points to the 1961 Vienna Convention on Diplomatic Relations, which defines an embassy as a state’s official presence on foreign territory, tasked with representation, negotiation, and the safeguarding of national interests. While states have experimented with online forms of presence, such as official websites or even ‘virtual embassies’ in platforms like Second Life, the core function remains political and relational, not simply technical.

Calling a remote server a ‘digital embassy,’ Kurbalija warns, can mislead the public and muddy policymaking. An embassy suggests diplomacy and interaction; a backup facility is about continuity, resilience, and the preservation of state records.

Estonia’s motivation, he notes, was shaped by history, specifically the fear of losing national archives and collective memory, echoing the 1940 seizure of records during Soviet control.

The push for more precise terminology may become even more important if these facilities evolve. A proposal raised during a World Economic Forum panel suggested adding AI-based processing capabilities to such offshore data sites, an idea that could shift them from passive storage toward something closer to strategic infrastructure linked to ‘AI sovereignty.’

Kurbalija suggests that instead of stretching the word ‘embassy,’ governments could borrow more precise historical concepts for protected foreign facilities, such as a ‘diplomatic enclave,’ ‘diplomatic funduq,’ or ‘diplomatic sanctuary.’ His broader point is that as countries invest in digital resilience and sovereignty, the language used to describe these arrangements should keep pace, because legitimacy and legal clarity often begin with accurate naming.

Diplo is live reporting on all sessions from the World Economic Forum 2026 in Davos.

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Ransomware attack on Under Armour leads to massive customer data exposure

Under Armour is facing growing scrutiny following the publication of customer data linked to a ransomware attack disclosed in late 2025.

According to breach verification platform Have I Been Pwned, a dataset associated with the incident appeared on a hacking forum in January, exposing information tied to tens of millions of customers.

The leaked material reportedly includes 72 million email addresses alongside names, dates of birth, location details and purchase histories. Security analysts warn that such datasets pose risks that extend far beyond immediate exposure, particularly when personal identifiers and behavioural data are combined.

Experts note that verified customer information linked to a recognised brand can enable compelling phishing and fraud campaigns powered by AI tools.

Messages referencing real transactions or purchase behaviour can blur the boundary between legitimate communication and malicious activity, increasing the likelihood of delayed victimisation.

The incident has also led to legal action against Under Armour, with plaintiffs alleging failures in safeguarding sensitive customer information. The case highlights how modern data breaches increasingly generate long-term consequences rather than immediate technical disruption.

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New AI method boosts reasoning without extra training

Researchers at the University of California, Riverside, have introduced a technique that improves AI reasoning without requiring additional training data. Called Test-Time Matching, the approach enhances AI performance by enabling dynamic model adaptation.

The method addresses a persistent weakness in multimodal AI systems, which often struggle to interpret unfamiliar combinations of images and text. Traditional evaluation metrics rely on isolated comparisons that can obscure deeper reasoning capabilities.

By replacing these with a group-based matching approach, the researchers uncovered hidden model potential and achieved markedly stronger results.

Test-Time Matching lets AI systems refine predictions through repeated self-correction. Tests on SigLIP-B16 showed substantial gains, with performance surpassing larger models, including GPT-4.1, on key reasoning benchmarks.

The findings suggest that smarter evaluation and adaptation strategies may unlock powerful reasoning abilities even in smaller models. Researchers say the approach could speed AI deployment across robotics, healthcare, and autonomous systems.

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Generative AI fuels surge in online fraud risks in 2026

Online scams are expected to surge in 2026, overtaking ransomware as the top cyber-risk, the World Economic Forum warned, driven by the growing use of generative AI.

Executives are increasingly concerned about AI-driven scams that are easier to launch and harder to detect than traditional cybercrime. WEF managing director Jeremy Jurgens said leaders now face the challenge of acting collectively to protect trust and stability in an AI-driven digital environment.

Consumers are also feeling the impact. An Experian report found 68% of people now see identity theft as their main concern, while US Federal Trade Commission data shows consumer fraud losses reached $12.5 billion in 2024, up 25% year on year.

Generative AI is enabling more convincing phishing, voice cloning, and impersonation attempts. The WEF reported that 62% of executives experienced phishing attacks, 37% encountered invoice fraud, and 32% reported identity theft, with vulnerable groups increasingly targeted through synthetic content abuse.

Experts warn that many organisations still lack the skills and resources to defend against evolving threats. Consumer groups advise slowing down, questioning urgent messages, avoiding unsolicited requests for information, and verifying contacts independently to reduce the risk of generative AI-powered scams.

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Advanced Linux malware framework VoidLink likely built with AI

Security researchers from Check Point have uncovered VoidLink. This advanced and modular Linux malware framework has been developed predominantly with AI assistance, likely by a single individual rather than a well-resourced threat group.

VoidLink’s development process, exposed due to the developer’s operational security (OPSEC) failures, indicates that AI models were used not just for parts of the code but to orchestrate the entire project plan, documentation and implementation.

According to analysts, the malware framework reached a functional state in under a week with more than 88,000 lines of code, compressing what would traditionally take weeks or months into days.

While no confirmed in-the-wild attacks have yet been reported, researchers caution that the advent of AI-assisted malware represents a significant cybersecurity shift, lowering the barrier to creating sophisticated threats and potentially enabling widespread future misuse.

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