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Frontier AI cybersecurity risks highlighted by the World Economic Forum

A shift is emerging in cybersecurity as frontier AI systems become more capable and harder to control.

Anthropic’s decision to restrict access to the Claude Mythos Preview reflects growing concern about how such models can be used in real-world cybersecurity operations, as highlighted in an article published by the World Economic Forum.

Reported capabilities include identifying unknown vulnerabilities and generating working exploits. Tasks that once required specialised teams over long periods can now be accelerated significantly.

Defensive benefits exist, particularly in faster vulnerability detection, but the same capabilities can also lower barriers for attackers.

The main challenge is no longer finding weaknesses but managing them. AI can generate large volumes of vulnerabilities in a short time, while many organisations still rely on slower response cycles.

That gap increases exposure, especially for critical systems and infrastructure.

Cybersecurity is therefore moving away from static protection toward continuous monitoring and rapid response. At the same time, the lack of clear global rules on access to advanced AI systems raises broader concerns about governance and long-term stability.

Such an evolving imbalance between capability and control is likely to define the next phase of cyber risk.

The World Economic Forum report also stresses that AI-driven cyber risk is becoming a strategic issue, requiring board-level attention, stronger public–private coordination, and faster response timelines, as vulnerability discovery and exploitation compress from weeks to hours.

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UK NCSC calls for stronger cyber readiness

The UK National Cyber Security Centre has warned that organisations must urgently prepare for severe cyber threats, describing them as a growing risk to operations and national resilience. The guidance calls for immediate action from leadership.

Cyber attacks are becoming more capable and disruptive, with new technologies such as AI increasing their speed and scale. These threats can lead to major operational, financial and security impacts.

The agency emphasises that resilience, rather than prevention alone, is critical. Organisations must be able to continue operating and recover during cyber attacks, with preparation and planning carried out in advance.

The Centre states that responsibility lies with organisational leaders, urging investment, coordination and early planning to ensure essential services can continue under pressure in the UK.

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IWF and Utropolis partnership strengthens AI-driven child online safety

The Internet Watch Foundation (IWF) has announced a new partnership with Utropolis, marking a step forward in efforts to strengthen online child protection. The collaboration brings together established detection tools and emerging AI-driven safeguarding technologies.

Utropolis specialises in cloud-based filtering systems designed to identify risks in real time, particularly in school environments.

By integrating IWF datasets, including verified lists of harmful content, the platform aims to improve prevention and detection capabilities while helping educators maintain safer digital spaces.

The initiative reflects a broader trend towards combining AI with established regulatory and safeguarding frameworks. As harmful material continues to spread online, organisations are increasingly focusing on scalable, automated solutions that can adapt to evolving threats.

The partnership also aligns with UK online safety standards in education, reinforcing compliance requirements and strengthening institutional responses.

As digital environments continue to expand, collaborations of this kind highlight the growing role of AI in supporting child protection strategies.

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UK invests £500 million in Sovereign AI fund to boost startups

The UK government has launched a £500 million Sovereign AI initiative to support domestic startups, aiming to strengthen national capabilities and reduce reliance on foreign technology providers.

The programme is designed to help companies start, scale and compete globally while remaining rooted in Britain.

An initiative that combines direct investment with broader support, including fast-track visas, access to high-performance computing and assistance in navigating regulation and procurement.

Early backers target firms working on advanced AI infrastructure, life sciences and next-generation computing, reflecting a strategic focus on sectors with long-term economic and security implications.

A central feature is access to national supercomputing resources, addressing one of the most significant barriers to AI development.

By providing large-scale compute capacity and linking it to potential future investment, the programme aims to accelerate research, testing and deployment within the UK ecosystem.

Essentially, the policy signals a shift toward a more interventionist approach, positioning the state as an active investor rather than a passive regulator.

The objective is to anchor innovation domestically, ensuring that intellectual property, talent and economic value remain within the UK as global competition in AI intensifies.

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New India partnership targets AI innovation and digital transformation

Broadcast Engineering Consultants India Limited (BECIL) and the Centre for Development of Advanced Computing (C-DAC) have signed a Memorandum of Understanding to collaborate on advanced technologies and digital transformation. The agreement focuses on joint projects, consultancy, and technical support across sectors.

The partnership covers AI, machine learning, Internet of Things, cybersecurity, 5G, and cloud computing. It also includes the development of turnkey solutions, technology transfer, and the commercialisation of innovative products.

Capacity development is a key component of the collaboration. Both organisations will support workforce upskilling and skill development to strengthen technical capabilities.

Officials stated that the partnership aims to leverage complementary strengths to deliver technology solutions. It is also expected to support innovation and contribute to India’s broader digital development objectives.

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Paraguay introduces AI rules for courts with UNESCO support and human oversight focus

UNESCO has supported Paraguay in developing a regulatory framework governing the use of AI within its judicial system.

The policy, adopted by the Supreme Court of Justice of Paraguay, establishes clear limits on AI use, ensuring that such systems function strictly as support tools rather than replacing human decision-making.

A regulation that outlines principles for the application of AI in data processing, information management and assisted decision-making. It emphasises transparency, accountability and respect for fundamental rights, requiring disclosure when AI tools influence judicial processes.

The framework aligns with UNESCO’s global guidelines on AI in courts, which promote human oversight, auditability and the protection of rights throughout the lifecycle of AI systems.

Implementation has been supported through technical cooperation, including training programmes to strengthen institutional capacity.

Such an approach in Paraguay reflects a broader trend towards embedding ethical safeguards in AI governance within public institutions. It highlights the role of international cooperation in shaping regulatory models that balance innovation with legal certainty and public trust.

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Canada’s cyber resilience plan targets AI-driven threats to critical infrastructure

A new initiative to strengthen national resilience has been launched by the Canadian Centre for Cyber Security against escalating cyber threats targeting critical infrastructure.

The programme, titled CIREN (Critical Infrastructure Resilience and Escalated Threat Navigation), aims to prepare organisations for severe disruptions by improving readiness, response capacity, and long-term recovery planning.

An initiative that reflects growing concern within Communications Security Establishment Canada over increasingly sophisticated cyber risks, including those amplified by AI.

Authorities highlight that both state-sponsored and criminal actors are exploiting automation and AI to accelerate attacks, raising the stakes for sectors such as energy, telecommunications, transport, and water systems.

CIREN outlines a structured approach centred on operational continuity during extreme scenarios.

Organisations are encouraged to prepare for prolonged isolation of critical systems, develop independent operating capabilities, and establish recovery frameworks capable of rebuilding infrastructure after major incidents. The focus remains on maintaining essential services under worst-case conditions.

The programme forms part of a broader national strategy in Canada to enhance cyber readiness through collaboration, threat intelligence, and practical guidance.

Officials stress that proactive planning and simplified defensive measures can significantly reduce real-world impact, particularly as cyber incidents grow in frequency, scale, and complexity.

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ILO warns against treating AI exposure indicators as job-loss forecasts

A new brief from the International Labour Organisation argues that AI exposure indicators should not be treated as forecasts of job losses, even as they become a more common tool for assessing how artificial intelligence could reshape work.

According to the ILO, these indicators can help identify where jobs may be affected by AI. Still, they do not show whether workers will actually be displaced or how labour markets will adjust in practice.

The brief examines how different exposure measures are constructed and why they often produce different results. Earlier approaches to automation focused mainly on routine and lower-skilled work, while newer AI-related models point to greater exposure in higher-skilled cognitive occupations, including roles in finance, computing, business, and education. That shift reflects the growing capacity of AI systems to perform tasks once seen as less vulnerable to automation.

The ILO stresses that exposure does not necessarily lead to job loss. Most indicators rely on static task descriptions and estimate what may be technically feasible, rather than what employers will actually adopt or what makes economic sense. They do not capture whether automation is profitable, whether it improves productivity, or how firms, workers, and institutions may respond over time.

The brief also argues that AI-related disruption is unlikely to stay confined to a narrow set of occupations. Jobs are linked through shared skills, career mobility, and workplace structures, meaning that changes in one part of the labour market can influence broader employment patterns elsewhere. That makes simple occupation-by-occupation risk scores less useful on their own than they may appear.

For that reason, the ILO says exposure indicators should be used as early warning signals rather than stand-alone labour market forecasts. It recommends combining them with evidence on employment, wages, job transitions, and broader economic and institutional conditions to build a more realistic picture of how AI is affecting work.

The broader significance of the brief is that it pushes back against the simplest narratives about AI and employment. Rather than asking how many jobs AI will eliminate, the ILO is urging policymakers to focus on where work may change, how quickly adoption may happen, and what kinds of institutions, skills, and labour protections will shape the outcome.

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Study suggests AI reliance may weaken short-term problem-solving

A recent study by researchers from Carnegie Mellon University, the University of Oxford, MIT, and UCLA suggests that reliance on AI for basic tasks may temporarily weaken cognitive performance.

Participants who used AI tools to complete simple maths and reading exercises initially performed better than those working without assistance. However, once the technology was removed, their accuracy declined, and they were less likely to persist with the tasks.

The findings suggest that even brief exposure to AI support can reduce a person’s willingness to engage in sustained problem-solving, which remains essential to learning and skill development.

Researchers found that participants became more likely to abandon tasks and less able to complete them independently after relying on AI assistance.

The results add to wider concerns about how AI may be reshaping learning habits and intellectual development. Related research from MIT has described a phenomenon called ‘cognitive debt’, in which heavy reliance on AI tools may weaken retention, understanding, and independent reasoning over time.

Taken together, the studies point to a growing tension in AI design. While such tools can improve speed and convenience, they may also reduce the mental effort needed to build lasting cognitive skills. That suggests AI systems may need to be designed to support learning without replacing independent thought altogether.

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Software sector faces AI disruption

An analysis from Goodbody Stockbrokers UC suggests that generative AI is reshaping the technology sector, raising questions about the long-term outlook for software as a service models. The report highlights shifting investor sentiment towards software companies.

According to Goodbody Stockbrokers UC, increased AI investment by major technology firms is driving demand for infrastructure and data processing, while also changing how software is developed and used. This shift is influencing spending patterns across the sector.

The report notes that software services have recently underperformed, particularly in the UK and Europe, due to weaker demand, pricing pressure and longer sales cycles. These trends reflect broader uncertainty as AI adoption accelerates.

Goodbody Stockbrokers UC indicates that AI is creating both disruption and opportunity, with the sector adapting to new technology layers and investment priorities as the industry evolves globally.

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