Global leaders gather to tackle fraud

A major international effort to tackle fraud is set to take place in Vienna, as global leaders gather for the Global Fraud Summit 2026 on 16–17 March. The event will highlight emerging challenges in cross-border and digital fraud, bringing global attention to the need for stronger cooperation.

The meeting is organised by the UNODC in partnership with INTERPOL, bringing together government officials, law enforcement authorities, private sector representatives, civil society and academics to discuss emerging fraud trends.

Fraud is increasingly seen as a cross-border and digitally driven threat, making coordination between countries more important than ever. Discussions among leaders and other representatives are expected to focus on how fraud operates across jurisdictions, examine current and emerging fraud trends, why detection remains difficult, and what practical steps can improve both prevention and enforcement.

Particular attention will be given to how institutions and their leaders can enhance information sharing and cooperation. Stronger partnerships between public and private actors are seen as key to responding more effectively, especially as fraud schemes grow more sophisticated.

Beyond immediate enforcement, the summit aims to strengthen long-term capacity and build more resilient systems. Greater alignment between states and organisations could play a decisive role in addressing fraud globally.

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EU moves to strengthen digital resilience with subsea cable funding

Efforts to improve the security of Europe’s digital infrastructure have advanced as the European Commission opens a €180 million funding call to support backup systems for subsea internet cables.

Investment by the EU will focus on developing alternative routes and redundancy mechanisms, ensuring continuity of connectivity in the event of disruptions affecting critical undersea networks that carry global data traffic.

Growing concerns around infrastructure vulnerability have increased attention on subsea cables, which play a central role in international communications. Strengthening resilience is therefore becoming a priority within broader European strategies on technological sovereignty and security.

Planned projects are expected to enhance reliability across the region, reducing risks associated with outages or potential external threats to essential telecommunications infrastructure.

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US senators question Meta facial recognition in smart glasses

Three Democratic senators have raised concerns about Meta’s reported exploration of facial recognition in its smart glasses, warning that it could normalise public surveillance. In a letter to CEO Mark Zuckerberg, Senators Edward Markey, Ron Wyden, and Jeff Merkley asked about consent, biometric data, and the risks of misuse.

The lawmakers said the proposed feature ‘risks normalising mass surveillance at a moment when the federal government is using similar tools to intimidate protesters and chill speech. Although facial recognition may offer real benefits for blind and visually impaired users, Meta’s history of failing to protect user privacy raises serious questions about its plan to deploy this technology in its smart glasses.’

‘Americans do not consent to biometric data collection simply by walking down a public street, entering a café, or standing in a crowd,’ the senators added. ‘Yet, the deployment of this technology would appear to do exactly that – subjecting countless individuals to covert identification without notice, without consent, and without any meaningful opportunity to opt out.’ They warned that such practices would erode longstanding expectations of privacy in public spaces, effectively eliminating public anonymity.’

Concerns grew after reports of US Border Patrol and ICE agents using Meta smart glasses. While there is no evidence of facial recognition use, senators argue that adding identification tools to eyewear could expand undetectable surveillance. The letter questions if Meta might link facial data with information from its platforms, enabling real-time identification tied to profiles. Lawmakers warn that this could increase the risks of harassment and targeting.

Meta had previously discontinued facial recognition on Facebook in 2021, citing societal concerns. The senators argue that reintroducing similar technology in wearable devices suggests a shift rather than a retreat. ‘Five years later, Meta appears less worried about those societal concerns and is reportedly planning to deploy facial recognition technology in one of the most dangerous possible settings,’ they wrote.

‘Moreover,’ they continued, ‘Meta is apparently aware of the risks with this technology,’ noting that ‘an internal memo recommended launching the product ‘during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns.’

‘In other words,’ the senators added, ‘Meta appears to recognise the serious privacy and civil liberties risks of facial recognition but thinks it can avoid attention by slipping the once-abandoned, ethically fraught product back onto the market while the world is distracted by the Trump administration’s daily chaos.’

The senators have asked Meta to clarify how it would obtain consent from both users and bystanders, how long it would retain biometric data, whether it would use it to train AI models, and whether it could share it with law enforcement, including the Department of Homeland Security. The company has been given until 6 April to respond.

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NSA warns of AI supply chain risks in new cybersecurity guidance

The National Security Agency has released new guidance on managing risks across the AI supply chain, highlighting growing cybersecurity concerns tied to AI and machine learning systems. The joint information sheet outlines how organisations can better assess vulnerabilities when deploying or sourcing AI technologies.

The document defines the AI and machine learning supply chain as a combination of key components, including training data, models, software, infrastructure, hardware, and third-party services. Each element can introduce risks affecting confidentiality, integrity, or availability, particularly as advanced tools such as large language models and AI agents become more widely adopted.

Security risks associated with data include bias, poisoning attacks, and exposure via techniques such as model inversion and data extraction. For models, the guidance warns of hidden backdoors, malware, evasion attacks, and model manipulation. Organisations are advised to use trusted sources, perform integrity checks, and maintain verified model registries to mitigate such threats.

The paper also highlights software and infrastructure vulnerabilities, noting that AI systems often rely on complex dependencies that expand the attack surface. Recommended measures include malware scanning, testing, patching, and maintaining software bills of materials. Additional risks arise from third-party services, which may introduce weaknesses through their own supply chains or shared environments.

To manage these risks, organisations are urged to improve visibility across their AI ecosystems, identify suppliers and subcontractors, and require documentation such as AI and software bills of materials. The guidance aligns with frameworks from the National Institute of Standards and Technology and MITRE, reinforcing the need for coordinated approaches to AI supply chain security.

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Exchange Online outage affecting Outlook access resolved by Microsoft

Microsoft has addressed an Exchange Online outage that disrupted access to email and calendar services for users worldwide. The issue affected multiple connection methods, including Outlook on the web, Outlook desktop, and Exchange ActiveSync.

The company first acknowledged the problem early in the day, saying it was investigating reports of users being unable to access their mailboxes. According to a Microsoft 365 admin centre update, several Exchange Online connection protocols were impacted during the outage.

Although Microsoft later reported that telemetry indicated the issue was no longer occurring for most users, some customers continued to experience access problems. At one point, the Office.com portal also displayed an error message, preventing users from logging in.

Microsoft linked the disruption to an issue within its supporting network infrastructure, which affected how traffic was processed. Engineers implemented configuration changes to restore normal service and continue monitoring the platform to ensure stability.

In a later update, Microsoft confirmed that the Exchange Online outage had been mitigated and that services had been restored. The company said it is still investigating the root cause and will provide further details in a post-incident report, while a separate issue affecting Microsoft 365 Copilot web access remains under review.

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Vera CPU by NVIDIA accelerates large-scale AI workloads

NVIDIA has unveiled the Vera CPU, designed specifically for agentic AI and reinforcement learning. It delivers 50% faster performance and double the energy efficiency, already adopted by Alibaba, Meta, ByteDance, Oracle Cloud, CoreWeave, and Lambda.

Vera features 88 Olympus cores, high-bandwidth memory, and advanced multithreading, supporting large-scale AI deployments. Liquid-cooled racks can host over 22,500 concurrent CPU environments, allowing enterprises and research labs to scale agentic AI efficiently.

The CPU integrates with NVIDIA GPUs via NVLink-C2C and includes ConnectX SuperNIC and BlueField-4 DPUs to enhance networking, storage, and security. Early users like Cursor and Redpanda report major gains in AI agent throughput and real-time data processing.

High performance, energy efficiency, and GPU integration make Vera a new standard for faster, scalable, and responsive AI systems. The platform supports coding assistants, reinforcement learning, and large-scale data, making it suitable for enterprise and scientific use.

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EU delays tech sovereignty package with AI and Chips Act 2

The European Commission has delayed a flagship tech sovereignty package for the second time, according to its latest College agenda. The measures are now scheduled for adoption on 27 May, after previously being postponed from March to April.

The tech sovereignty package includes several major initiatives aimed at strengthening EU tech sovereignty, such as the Cloud and AI Development Act, the Chips Act 2, an open-source strategy, and a roadmap for digitalisation and AI in energy. European Commission officials have not provided a reason for the latest delay.

The Cloud and AI Development Act is expected to define what constitutes a ‘sovereign’ cloud and simplify rules for building data centres. The proposal is designed to accelerate infrastructure development as Europe seeks to compete in the global AI race.

Chips Act 2 will follow up on the EU’s earlier semiconductor strategy, which struggled to boost domestic chip production significantly. The new proposal is expected to refine industrial policy efforts to reduce reliance on foreign suppliers.

Meanwhile, the planned open source strategy aims to support European software ecosystems and reduce dependence on large US technology firms. By encouraging commercially viable open source projects, the EU hopes to strengthen its long-term digital autonomy.

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UN calls for global action against online scam networks

Online scam networks operating across Southeast Asia are defrauding victims worldwide, using AI, impersonation techniques, and complex cyber tools to steal billions of dollars.

At the Global Fraud Summit in Vienna, the UN Office on Drugs and Crime (UNODC) and INTERPOL brought together governments, law enforcement, and private-sector actors to strengthen international cooperation against these crimes.

Victims include individuals from diverse backgrounds, often highly educated and financially experienced. One Australian couple, Kim and Allan Sawyer, lost more than $2.5 million after engaging with what appeared to be a legitimate investment opportunity. ‘The scammer was extraordinarily believable,’ Kim Sawyer said. ‘He had a British accent, used all the right financial market terms and knew how to induce us by appearing credible every time.’

UNODC officials warn that these operations extend beyond fraud, forming part of a broader criminal ecosystem driven by organised scam networks, involving human trafficking, corruption, and money laundering.

‘We need to be looking into prosecuting high-level criminals, following the money through financial investigations and identifying the giant networks that operate behind these operations,’ said Delphine Schantz, UNODC’s regional representative for Southeast Asia and the Pacific.

Authorities say the scale and complexity of these crimes require a coordinated global response to dismantle scam networks effectively. ‘The complexity of these crimes requires an equally complex, whole-of-government approach and enhanced coordination among governments, financial intelligence units and digital banks,’ Schantz added.

Investigations in countries such as the Philippines and Cambodia have revealed how scam networks operate on the ground. In Manila, a former scam compound uncovered facilities used to control trafficked workers and evidence of corruption linked to local officials. ‘How do you prove a cybercrime in 36 hours? It is not possible,’ said the Philippines’ Presidential Anti-Organised Crime Commission (PAOCC) operations director, recalling the challenges investigators faced during early raids.

In Cambodia, international prosecutors and investigators have focused on improving cooperation mechanisms, including extradition, asset recovery, and the handling of digital evidence. These efforts are seen as critical in addressing the cross-border nature of scam networks.

Despite increased enforcement efforts, these networks continue to adapt and relocate, maintaining a global reach. At recent international meetings, including a summit in Bangkok involving nearly 60 countries and major technology firms, officials agreed on the need for shared intelligence, joint investigations and coordinated prosecutions.

Victims continue to call for stronger responses. ‘The scammer works twice: they take your money, and they take your soul. They really do. They take your self-worth. And then, you feel like you’re being scammed again, by the authorities’ lack of response,’ Sawyer said.

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Google launches AI skills initiative to support Europe’s workforce transition

At the Future of Work Forum, Google introduced ‘AI Works for Europe’, a programme aimed at strengthening digital skills and supporting workforce adaptation to AI across the region.

Funding of $30 million will be directed through Google.org to expand training opportunities, alongside broader access to AI certification programmes designed to help individuals and businesses adopt new technologies in practical contexts.

A central focus involves preparing workers and students for labour market changes.

Partnerships with organisations such as INCO are supporting the development of targeted training programmes, particularly in sectors where demand for AI-related skills is increasing, including finance, logistics and marketing.

New educational pathways are also being introduced, including an expanded AI Professional Certificate available in multiple European languages. These initiatives aim to improve AI literacy and provide hands-on experience aligned with employer expectations.

Collaboration with local organisations and institutions remains a key element, reflecting a broader strategy to ensure access to training across different regions and communities.

Efforts to expand AI capabilities across Europe highlight the growing importance of skills development as AI becomes more integrated into economic activity.

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MIT research highlights embedded and enacted risks in AI

Generative AI offers major productivity and growth opportunities, but also brings new risks as organisations move from experiments to full deployment. MIT research highlights key risk areas, including training data, foundation models, user prompts, and system prompts.

Researchers identify two types of risk.

Embedded risks come from the technology itself, shaped by model behaviour, data quality, and vendor updates, and are mostly outside an organisation’s control.

Enacted risks arise from choices in deploying AI, from prompt design to agent permissions, and require strong governance.

Advanced uses such as retrieval-augmented generation (RAG) and autonomous AI agents increase exposure. RAG uses internal data to improve outputs, but may reveal sensitive information or control gaps. AI agents acting across multiple tools can lead to ‘autonomy creep,’ performing tasks without proper oversight.

To manage AI risk, organisations should map tools, assign ownership, track outputs, and use separate strategies for embedded and enacted risks. Vendor engagement, governance frameworks, and technical controls are essential for safe AI use.

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