The data protection authority of France has imposed a €5 million penalty on France Travail after a massive data breach exposed sensitive personal information collected over two decades.
A leak which included social security numbers, email addresses, phone numbers and home addresses of an estimated 36.8 million people who had used the public employment service. CNIL said adequate security measures would have made access far more difficult for the attackers.
The investigation found that cybercriminals exploited employees through social engineering instead of breaking in through technical vulnerabilities.
CNIL highlighted the failure to secure such data breach requirements under the General Data Protection Regulation. The watchdog also noted that the size of the fine reflects the fact that France Travail operates with public funding.
France Travail has taken corrective steps since the breach, yet CNIL has ordered additional security improvements.
The authority set a deadline for these measures and warned that non-compliance would trigger a daily €5,000 penalty until France Travail meets GDPR obligations. A case that underlines growing pressure on public institutions to reinforce cybersecurity amid rising threats.
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The Dutch data protection authority has urged the government to act swiftly to protect the country’s digital sovereignty, warning that dependence on overseas technology firms could expose vital public services to significant risk.
Concern has intensified after DigiD, the national digital identity system, appeared set for acquisition by a US company, raising questions about long-term control of key infrastructure.
The watchdog argues that the Netherlands relies heavily on a small group of non-European cloud and IT providers, and stresses that public bodies lack clear exit strategies if foreign ownership suddenly shifts.
Additionally, the watchdog criticises the government for treating digital autonomy as an academic exercise rather than recognising its immediate implications for communication between the state and citizens.
In a letter to the economy minister, the authority calls for a unified national approach rather than fragmented decisions by individual public bodies.
It proposes sovereignty criteria for all government contracts and suggests termination clauses that enable the state to withdraw immediately if a provider is sold abroad. It also notes the importance of designing public services to allow smooth provider changes when required.
The watchdog urges the government to strengthen European capacity by investing in scalable domestic alternatives, including a Dutch-controlled government cloud. The economy ministry has declined to comment.
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A Chrome browser extension posing as an AI assistant has stolen OpenAI credentials from more than 10,000 users. Cybersecurity platform Obsidian identified the malicious software, known as H-Chat Assistant, which secretly harvested API keys and transmitted user data to hacker-controlled servers.
The extension, initially called ChatGPT Extension, appeared to function normally after users provided their OpenAI API keys. Analysts discovered that the theft occurred when users deleted chats or logged out, triggering the transmission of credentials via hardcoded Telegram bot credentials.
At least 459 unique API keys were exfiltrated to a Telegram channel months before they were discovered in January 2025.
Researchers believe the malicious activity began in July 2024 and continued undetected for months. Following disclosure to OpenAI on 13 January, the company revoked compromised API keys, though the extension reportedly remained available in the Chrome Web Store.
Security analysts identified 16 related extensions sharing the identical developer fingerprints, suggesting a coordinated campaign by a single threat actor.
LayerX Security consultant Natalie Zargarov warned that whilst current download numbers remain relatively low, AI-focused browser extensions could rapidly surge in popularity.
The malicious extensions exploit vulnerabilities in web-based authentication processes, creating, as researchers describe, a ‘materially expanded browser attack surface’ through deep integration with authenticated web applications.
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NVIDIA, Microsoft, and Amazon are in talks to invest up to $60 billion in OpenAI, valuing the company at around $730 billion. The talks highlight intensifying competition among technology giants to secure strategic positions in the rapidly expanding AI sector.
NVIDIA is said to be considering the largest commitment, potentially investing as much as $30 billion, while Microsoft may add less than $10 billion despite its long-standing partnership with OpenAI.
Amazon could contribute more than $10 billion, strengthening its cloud and infrastructure ties with the company as demand for large-scale AI computing continues to rise.
OpenAI and NVIDIA are advancing plans to deploy large-scale data centre capacity, with a multi-year rollout starting in late 2026. The project aims to deliver large-scale high-performance computing, supporting OpenAI’s push towards artificial general intelligence and global expansion.
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Worldcoin jumped 40% after reports that OpenAI is developing a biometric social platform to verify users and eliminate bots. The proposed network would reportedly integrate AI tools while relying on biometric identification to ensure proof of personhood.
Sources cited by Forbes claim the project aims to create a humans-only platform, differentiating itself from existing social networks, including X. Development is said to be led by a small internal team, with work reportedly underway since early 2025.
Biometric verification could involve Apple’s Face ID or the World Orb scanner, a device linked to the World project co-founded by OpenAI chief executive Sam Altman.
The report sparked a sharp rally in Worldcoin, though part of the gains later reversed amid wider market weakness. Despite the brief surge, Worldcoin has remained sharply lower over the past year amid weak market sentiment and ongoing privacy concerns.
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Scientists are divided over when quantum computers will become powerful enough to break today’s digital encryption, a moment widely referred to as ‘Q–Day’.
While predictions range from just two years to several decades, experts agree that governments and companies must begin preparing urgently for a future where conventional security systems may fail.
Quantum computing uses subatomic behaviour to process data far faster than classical machines, enabling rapid decryption of information once considered secure.
Financial systems, healthcare data, government communications, and military networks could all become vulnerable as advanced quantum machines emerge.
Major technology firms have already made breakthroughs, accelerating concerns that encryption safeguards could be overwhelmed sooner than expected.
Several cybersecurity specialists warn that sensitive data is already being harvested and stored for future decryption, a strategy known as ‘harvest now, decrypt later’.
Regulators in the UK and the US have set timelines for shifting to post-quantum cryptography, aiming for full migration by 2030-2035. However, engineering challenges and unresolved technical barriers continue to cast uncertainty over the pace of progress.
Despite scepticism over timelines, experts agree that early preparation remains the safest approach. Experts stress that education, infrastructure upgrades, and global cooperation are vital to prevent disruption as quantum technology advances.
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The pace of the AI infrastructure boom continues to accelerate, with semiconductor supply chains signalling sustained long-term demand.
NVIDIA remains the most visible beneficiary as data centre investment drives record GPU purchases, yet supplier activity further upstream suggests confidence extends well beyond a single company.
ASML, the Dutch firm that exclusively supplies extreme ultraviolet lithography equipment, has emerged as a critical indicator of future chip production.
Its machines are essential for advanced semiconductor manufacturing, meaning strong performance reflects expectations of high chip volumes across the industry rather than short-term speculation. Quarterly earnings underline that momentum.
ASML reported €32.7 billion in net sales, while new bookings reached a record €13 billion, more than double the previous quarter.
New orders reflect how much capacity manufacturers expect to need, pointing to sustained expansion driven by anticipated AI workloads.
Company leadership attributed the surge directly to AI-related demand, with customers expressing growing confidence in the durability of data centre investment.
While order fulfilment will take years and some plans may change, industry signals suggest a slowdown in AI infrastructure spending is not imminent.
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In a commentary highlighted by a BBC article, Cisco’s chief executive, Chuck Robbins, reportedly compared the current AI boom to the early dot-com bubble, suggesting that while AI’s long-term impact could be transformative, the market may also face a period of significant turbulence and ‘wreckage’ before durable winners emerge.
Robbins warned that massive capital flows into AI companies, many of which lack clear revenue paths, resemble past speculative cycles and could lead to sharp contractions or failures among weaker players in the tech ecosystem.
He also noted that productivity gains from AI may be real but come with job reshaping, security risks and economic disruptions along the way.
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India’s data centre expansion, fuelled by investment in AI-ready infrastructure and cloud capacity, is creating strong demand for legal services, with law firms increasingly advising on land acquisition, regulatory approvals, financing and long-term compliance for large projects.
Major global and Indian investors, including Google, Amazon and Tata Consultancy Services, are driving multibillion-dollar data centre builds that require complex legal structuring to align global business models with India’s licensing and regulatory frameworks.
Law firms report that work on joint ventures, permits, power procurement and environmental clearances is now a key growth area as digital infrastructure projects become more capital-intensive and long-lived.
Firms such as Cyril Amarchand Mangaldas and Khaitan & Co have seen this become one of their fastest-growing practice areas, reflecting broader trends in India’s digital transformation and data economy.
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AI is expanding rapidly, driving rising electricity and water consumption, which has fuelled concerns about environmental damage. Growth in data centres and intensive computing workloads is increasing pressure on global energy systems.
At the same time, AI is being deployed to reduce resource use and emissions across multiple industries. In agriculture, data-driven irrigation systems help farmers apply water more precisely, cutting waste while lowering the energy needed for pumping and distribution.
Efficiency gains are also visible in data centres, where intelligent systems manage workloads and cooling more effectively. Despite a sharp rise in global internet traffic, improvements in energy management have helped slow the growth of electricity consumption.
Energy companies, building operators and airlines are adopting AI to cut emissions and improve efficiency. From detecting methane leaks to optimising heating systems and flight routes, wider use of these technologies could help balance AI’s environmental costs with measurable climate benefits.
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