EU calls on US tech firms to respect rules on handling staff data

Concerns over data protection have intensified as the European Commission calls on major technology companies to apply the EU standards when handling sensitive staff information linked to digital regulation.

Pressure follows requests from the US House Judiciary Committee seeking access to communications between US firms and the EU officials involved in enforcing laws such as the Digital Services Act and Digital Markets Act.

The EU officials emphasise that formal exchanges with companies take place through official channels, including documented correspondence, rather than informal messaging platforms. Internal communication practices may involve encrypted tools, reflecting growing concerns about data security and external scrutiny.

Debate surrounding the issue reflects wider tensions between the EU and the US over digital governance, privacy protections and regulatory authority. Questions over jurisdiction and access to sensitive communications are likely to remain central as transatlantic tech policy evolves.

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GDPR changes debated as EU seeks balance on data protection rules

Debate over potential updates to the GDPR is intensifying, as Marina Kaljurand advocates a focused ‘fitness check’ rather than sweeping legislative changes in an omnibus package.

Concerns raised in the European Parliament highlight risks associated with altering foundational elements of the regulation, particularly its definitions to personal data. Preserving these core principles is seen as essential to maintaining the integrity of the EU’s data protection framework.

Ongoing discussions reflect broader policy tensions within the EU, where efforts to reduce regulatory complexity must be balanced against the need to uphold strong privacy safeguards. Proposals for simplification are therefore facing scrutiny from lawmakers prioritising stability and legal clarity.

Future developments are likely to shape how the EU adapts its data protection rules to evolving digital markets, while ensuring that existing protections remain effective in a rapidly changing technological environment.

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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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AI makes strides in mathematical reasoning

AI systems are increasingly being tested on advanced mathematical problems as researchers assess their reasoning abilities. Competitions such as the Putnam exam have become benchmarks for evaluating performance.

Recent results suggest some AI models can achieve scores comparable to top human participants, whilst other tests face scrutiny. Experts caution that such tests may not reflect real-world mathematical research or practical problem-solving.

Researchers have also explored AI-generated proofs for longstanding mathematical questions. Verification tools are being used to confirm results and reduce errors often produced by AI systems.

Mathematicians say AI can support brainstorming and research, but still requires human oversight. Analysts describe performance as uneven, with strong results in some areas and clear limitations in others.

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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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AI reshapes India IT services outlook

India’s $300bn outsourcing industry is facing mounting pressure as AI tools threaten to disrupt traditional business models. A recent sell-off in technology stocks reflects investor concern over automation replacing labour-intensive services.

Fears intensified after new AI tools demonstrated the ability to automate legal, compliance and data processes. Analysts warn such advances could reduce demand for routine IT services and reshape client engagements.

Industry leaders in India argue AI will also create opportunities, particularly in consulting and system modernisation. Firms expect partnerships with AI developers to drive new areas of growth despite near-term disruption.

Revenue growth may slow, and hiring could remain subdued as the sector adapts. Analysts in India expect a gradual shift towards outcome-based services while companies invest in new AI capabilities.

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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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AI agents test limits of EU rules

AI agents are rapidly gaining traction, raising questions about whether existing EU rules can keep pace. Unlike chatbots, these systems can act autonomously and interact with digital tools on behalf of users.

Experts warn that AI agents require deeper access to personal data and online services to function effectively. Regulators in Europe are monitoring potential risks as the technology becomes more integrated into daily life.

Lawmakers are examining whether current legislation, such as the AI Act and GDPR, adequately covers agent-based systems. Legal experts highlight challenges around contracts, liability and accountability when AI acts independently.

Despite concerns, many governments remain reluctant to introduce new rules, citing regulatory fatigue. Policymakers may rely on existing frameworks unless major incidents force a reassessment of AI oversight.

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