Cloud computing Archives | Digital Watch Observatory

EU competition regulators expand scrutiny across the entire AI ecosystem

Competition authorities in the EU are broadening their oversight of the AI sector, examining every layer of the technology’s value chain.

Speaking at a conference in Berlin, Teresa Ribera explained that regulators are analysing the full ‘AI stack’ instead of focusing solely on consumer applications.

According to the competition chief, scrutiny extends beyond visible AI tools to the systems that support them. Investigations are assessing underlying models, the data used to train those models, as well as cloud infrastructure and energy resources that power AI systems.

Regulatory attention has already reached the application layer.

The European Commission opened an investigation in 2025 involving Meta after concerns emerged that the company could restrict competing AI assistants on its messaging platform WhatsApp.

Following regulatory pressure, Meta proposed allowing rival AI chatbots on the platform in exchange for a fee. European regulators are now assessing the proposal to determine whether additional intervention is necessary to preserve fair competition in rapidly evolving digital markets.

Authorities have also examined concentration risks across other parts of the AI ecosystem, including the infrastructure layer dominated by companies such as Nvidia.

Regulators argue that effective competition oversight must address the entire technology stack as AI markets expand quickly.

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Wiz joins Google Cloud in the company’s largest acquisition

Google has completed the largest acquisition in its history, finalising the $32 billion purchase of cloud security firm Wiz. The company confirmed that Wiz will join Google Cloud while continuing to operate under its existing brand and maintaining support for multiple cloud platforms.

Wiz has built its reputation as a cloud and AI security platform designed to monitor risks across different cloud environments. The company’s technology connects code, cloud infrastructure, and runtime operations into a single security context, allowing development and security teams to detect vulnerabilities earlier and respond to threats affecting cloud workloads.

Google Cloud leaders say the acquisition strengthens the company’s broader security strategy. Wiz will complement existing services such as Google Threat Intelligence, Google Security Operations and Mandiant Consulting, contributing to a unified security platform designed to protect cloud-native applications and enterprise infrastructure.

Both companies emphasise that Wiz will remain committed to a multicloud approach. Its products will continue to operate across platforms, including Amazon Web Services, Microsoft Azure and Oracle Cloud, reflecting the company’s existing model of providing visibility and security across competing cloud ecosystems.

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BeatBanker malware targets Android users in Brazil

A new Android malware called BeatBanker is targeting users in Brazil through fake Starlink and government apps. The malware hijacks devices, steals banking credentials, tampers with cryptocurrency transactions, and secretly mines Monero.

Infection begins on phishing websites mimicking the Google Play Store or the ‘INSS Reembolso’ app. Users are tricked into installing trojanised APKs, which evade detection through memory-based decryption and by blocking analysis environments.

Fake update screens maintain persistence while silently downloading additional malicious payloads.

BeatBanker initially combined a banking trojan with a cryptocurrency miner. It uses accessibility permissions to monitor browsers and crypto apps, overlaying fake screens to redirect Tether and other crypto transfers.

A foreground service plays silent audio loops to prevent the device from shutting down, while Firebase Cloud Messaging enables remote control of infected devices.

The latest variant replaces the banking module with the BTMOB RAT, providing full control over devices. Capabilities include automatic permissions, background persistence, keylogging, GPS tracking, camera access, and screen-lock credential capture.

Kaspersky warns that BeatBanker demonstrates the growing sophistication of mobile threats and multi-layered malware campaigns.

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UK approves £7.5bn AI data centre campus at Elsham Tech Park

Plans for one of the UK’s largest AI data centre campuses have been approved in North Lincolnshire, denoting a significant investment in digital infrastructure.

The project, known as Elsham Tech Park, will be developed near Elsham Wolds Industrial Estate on the site of the former RAF Elsham Wolds airfield. The development is expected to deliver more than 1.5 million square metres of hyperscale data centre floorspace across 15 data halls, with an estimated construction cost of around £7.5 billion.

If fully developed, the campus could provide up to 1GW (1,000MW) of computing capacity, placing it among the largest proposed AI data centre facilities in the UK. The project is being led by Elsham Tech Park Ltd, a company created for the development and overseen by infrastructure developer Greystoke.

The proposed campus would cover approximately 176 hectares (435 acres) and include an on-site energy centre capable of generating up to 49.9MW of electricity. Plans also include battery storage facilities, substations, district heating infrastructure, and additional commercial space.

The masterplan incorporates a greenhouse complex that reuses excess heat from the data centre servers to support agricultural production. Developers say this approach could improve energy efficiency by enabling greenhouse cultivation using waste heat generated by computing infrastructure.

Construction is expected to begin in 2027, with the first phase of the campus scheduled to open in 2029. The development timeline covers roughly ten years.

During construction, the project could support between 2,600 and 3,600 full-time equivalent jobs annually across on-site and supply chain roles. Once operational, the facility is expected to create around 900 long-term skilled jobs.

North Lincolnshire Council said the project could attract up to £10 billion in investment and strengthen the region’s role in the country’s growing AI and cloud computing infrastructure sector.

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AI agents platform NemoClaw targets enterprise tools in Nvidia strategy

Nvidia is reportedly preparing to launch an open-source platform for AI agents, according to sources familiar with the company’s plans.

The platform, internally known as NemoClaw, is being pitched to enterprise software companies and would enable businesses to deploy AI agents to perform tasks for employees. Companies will be able to access the platform regardless of whether their products run on Nvidia hardware.

The initiative comes ahead of Nvidia’s annual developer conference in San Jose next week. The company has reportedly approached firms including Salesforce, Cisco, Google, Adobe, and CrowdStrike to explore potential partnerships for the platform. However, it remains unclear whether any formal agreements have been reached.

Sources say the open-source platform could offer early access to partners in exchange for contributions to the project, while also including built-in security and privacy tools designed for enterprise environments. Interest in the project reflects enthusiasm around open-source AI ‘claws,’ agents that run locally and autonomously handle multi-step tasks with less human oversight.

However, the use of autonomous agents in corporate environments remains controversial. Some technology companies have reportedly restricted their use on work devices due to concerns about unpredictability and security risks.

For Nvidia, NemoClaw may also represent a broader effort to expand its influence beyond hardware. By supporting open-source AI agents, the company could strengthen its position in enterprise AI infrastructure, even as several major AI developers are building their own chips.

NVIDIA has not publicly commented on the reported plans. Representatives from several companies linked to the project also declined to comment.

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Energy Infrastructure faces critical challenges in Africa’s digital future

Energy infrastructure is becoming a key foundation for Africa’s digital transformation. The rapid expansion of AI, cloud computing, and digital services is increasing electricity demand. Reliable and scalable power systems are therefore essential to support the growth of the continent’s digital economy.

Governments are integrating digital development into national policy strategies. Initiatives such as the New Deal Technologique Horizon 2034 in Senegal and Digital Ethiopia 2030 in Ethiopia prioritise digital infrastructure, data centres, and cloud services. However, these strategies require stronger alignment with energy planning.

Energy systems need modernisation to support data centres and AI infrastructure. Traditional power models are not designed for the high and rapidly growing energy demands of digital technologies. Expanding renewable energy, storage systems, and smart energy management can improve reliability and efficiency.

Data centres are increasingly viewed as strategic infrastructure. As central hubs of the digital economy, they require stable electricity supply, efficient cooling systems, and resilient energy management to support computing services and digital platforms.

Modular and energy-efficient infrastructure can accelerate digital deployment. Scalable power systems, modular data centres, and advanced energy storage can reduce deployment time and operational costs while supporting expanding digital services.

Collaboration across sectors is necessary to support sustainable digital growth. Governments, utilities, enterprises, and technology providers need to coordinate policies and investments to align digital transformation with energy transition efforts.

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Digital sovereignty in Asia moves beyond US versus non-US cloud debate

AI, cloud computing, and cross-border data flows have made questions about control and jurisdiction increasingly important for governments and businesses. In Asia, the debate around digital sovereignty often focuses on ‘US versus non-US cloud’ providers or data localisation.

Such simplifications miss the practical challenges organisations face when choosing hosting locations or training AI models while navigating diverse regulatory regimes.

At the same time, Asia’s digital economy is building its own regulatory foundations. In Vietnam and Indonesia, new rules such as Vietnam’s Decree 53 and Indonesia’s data protection framework show how governments are shaping data governance while still relying on global cloud and AI platforms. Most organisations across the region continue to operate using a mix of local, regional, and international providers.

Organisations must address key questions about data jurisdiction and workload mobility when risks change. They must also control who can access sensitive systems during incidents. Digital sovereignty is clearer when seen through three pillars: data sovereignty, technical sovereignty, and operational sovereignty.

Data sovereignty is about jurisdiction, not just data storage. As AI regulation expands, businesses need to know which authorities can access their data and how it may be used. Technical sovereignty is the ability to move or redesign systems as regulations or geopolitics shift. Multi-cloud and hybrid strategies help organisations remain adaptable.

Operational sovereignty focuses on governance and control. It addresses who can access systems, from where, and under what safeguards, thus linking sovereignty directly to cybersecurity and incident response.

For Asia-Pacific organisations, digital sovereignty should not be a simple procurement checklist. Instead, it should guide cloud and AI strategies from the start, ensuring legal clarity, technical flexibility, and operational trust as the digital landscape evolves.

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Tycoon 2FA phishing service disrupted in global cybercrime crackdown

Authorities have disrupted the Tycoon 2FA phishing-as-a-service (PhaaS) platform, which sent millions of phishing emails to organisations worldwide.

The operation, led by Microsoft, Europol, and several industry partners, targeted the infrastructure behind Tycoon 2FA, which enabled large-scale phishing campaigns against more than 500,000 organisations each month.

By mid-2025, Tycoon 2FA accounted for 62% of the phishing attempts blocked by Microsoft, with over 30 million malicious emails blocked in a single month. Experts link the platform to around 96,000 global victims since 2023, including 55,000 Microsoft customers.

Researchers from Resecurity found cybercriminals widely used the platform to impersonate legitimate users and gain unauthorised access to accounts such as Microsoft 365, Outlook and Gmail. The service relied on techniques such as URL rotation using open redirect vulnerabilities and the misuse of Cloudflare Workers to hide malicious infrastructure.

‘The author of Tycoon 2FA is actively updating the tool with regular kit updates,’ reads the report published by Resecurity. ‘What makes Tycoon 2FA so special is that the kit effectively combines multiple methods to deliver phishing at scale—from PDF attachments to QR codes.’

Authorities say taking the infrastructure offline disrupts a key pathway for account takeover attacks and prevents additional threats, such as data theft, ransomware, business email compromise, and financial fraud.

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Qualcomm and NEURA Robotics partner to accelerate physical AI and cognitive robotics

NEURA Robotics and Qualcomm have formed a long-term strategic collaboration to advance physical AI and next-generation robotics platforms.

A partnership that aims to bring intelligent robots into real-world environments more rapidly by combining advanced AI processors with full-stack robotic systems.

The cooperation focuses on developing ‘Brain + Nervous System’ reference architectures that integrate high-level cognition, such as perception, reasoning and planning, with ultra-low-latency control systems.

Qualcomm’s robotics processors, including the Dragonwing IQ10 Series, will provide AI compute and connectivity, while NEURA contributes robotic hardware platforms and embodied AI software.

Both companies intend to support deployment across multiple robotic forms, including robotic arms, mobile robots, service machines and humanoid platforms.

NEURA’s cloud environment, Neuraverse, will serve as a shared platform for simulation, training and lifecycle management of robotic intelligence, allowing innovations developed by one robot to spread across entire fleets.

The collaboration also aims to establish a global developer ecosystem for robotics applications. Standardised runtime environments and deployment interfaces are expected to simplify how AI workloads move from development into production while maintaining reliability and safety.

Executives from both companies emphasised that robotics represents one of the most demanding AI environments, as decisions must be made instantly and locally.

By combining edge AI processing with cognitive robotic systems, the partnership aims to accelerate commercial deployment of humanoid and general-purpose robots capable of operating safely alongside humans across industries.

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Microsoft launches Copilot Cowork to automate tasks across Microsoft 365

AI is moving from assistance to execution as Microsoft introduces Copilot Cowork, a system designed to perform tasks across the Microsoft 365 environment.

Instead of simply generating text or suggestions, the feature allows users to delegate real work by describing a desired outcome.

Copilot Cowork converts requests into structured plans that run in the background. The system analyses signals from workplace tools such as Microsoft Outlook, Microsoft Teams and Microsoft Excel to understand schedules, documents and ongoing projects.

Users can approve or modify each step while the AI coordinates actions across meetings, files and messages.

Several enterprise scenarios illustrate the system’s capabilities. Cowork can reorganise calendars by analysing meetings and automatically proposing schedule changes.

It can also prepare complete briefing materials for customer meetings by collecting relevant emails, files and data before generating presentations and research summaries.

The technology also supports deeper analysis tasks. Users can request company research and receive structured outputs that include summaries, financial data and supporting documents.

In product launch planning, Cowork can compile competitive intelligence, build presentations and outline project milestones, creating a coordinated workflow for teams.

Microsoft emphasises that the system operates within enterprise security boundaries. Identity, compliance policies and data permissions remain enforced while tasks execute in a protected cloud environment.

The platform also reflects a multi-model strategy, combining Microsoft AI capabilities with Anthropic technology through the integration of the model behind Claude.

Copilot Cowork is currently available to a limited group of customers through a research preview.

Wider availability is expected later in 2026 through Microsoft’s Frontier programme as the company expands AI-driven workplace automation.

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