Development

Google dismisses false breach rumours as Gmail security concerns grow

Reports that Gmail suffered a massive breach have been dismissed by Google, which said rumours of warnings to 2.5 billion users were false.

In a Monday blog post, Google rejected claims that it had issued global notifications about a serious Gmail security issue. It stressed that its protections remain effective against phishing and malware.

Confusion stems from a June incident involving a Salesforce server, during which attackers briefly accessed public business information, including names and contact details. Google said all affected parties were notified by early August.

The company acknowledged that phishing attempts are increasing, but clarified that Gmail’s defences block more than 99.9% of such attempts. A July blog post on phishing risks may have been misinterpreted as evidence of a breach.

Google urged users to remain vigilant, recommending password alternatives such as passkeys and regular account reviews. While the false alarm spurred unnecessary panic, security experts noted that updating credentials remains good practice.

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UK institutions embrace enterprise AI through global tech alliance

Microsoft, Accenture, and Avanade are deepening their 25-year partnership to bring AI into some of the UK’s most vital sectors, including healthcare and finance. NHS England is piloting AI-powered tools to streamline patient services and cut down on time-consuming administrative tasks, while Nationwide Building Society is deploying machine learning to improve customer services, speed up mortgage approvals, and enhance fraud detection.

The three companies have different responsibilities in tackling the challenges of enterprise AI. Microsoft provides the Azure cloud platform and pre-built AI models, Accenture contributes sector-specific expertise and governance frameworks, and Avanade integrates the technology into existing systems and workflows. That structure helps organisations move beyond experimental AI pilots and scale solutions reliably in highly regulated industries.

Unlike consumer applications, enterprise AI must meet strict compliance requirements, especially concerning sensitive patient data or financial transactions. The partnership emphasises embedding AI directly into day-to-day operations rather than treating it as an add-on, reducing disruption for staff and ensuring systems work seamlessly once live.

With regulators tightening oversight, the alliance highlights responsible AI as a key focus. By prioritising transparency, security, and ethical use, Microsoft, Accenture, and Avanade are positioning their collaboration as a blueprint for how AI can be adopted across critical institutions without compromising trust or reliability.

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AI boom drives massive surge in data centre power demand

According to Goldman Sachs, the surge in AI is set to transform global energy markets, with data centres expected to consume 165% more electricity by 2030 compared to 2023. The bank reports that US spending on data centre construction has tripled in just three years, while occupancy rates at existing facilities remain close to record highs.

The demand is driven by hyperscale operators like Amazon Web Services, Microsoft Azure, and Google Cloud, which are rapidly expanding their infrastructure to meet the power-hungry needs of AI systems.

Global data centres use about 55 gigawatts of electricity, more than half of which supports cloud computing. Traditional workloads like email and storage still account for a third, while AI represents just 14%.

However, Goldman Sachs projects that by 2027, overall consumption could rise to 84 gigawatts, with AI’s share growing to over a quarter. That shift is straining grids and pushing operators toward new solutions as AI servers can consume ten times more electricity than traditional racks.

Meeting this demand will require massive investment. Goldman Sachs estimates that global grid upgrades could cost as much as US$720 billion by 2030, with US utilities alone needing an additional US$50 billion in new generation capacity for data centres.

While renewables like wind and solar are increasingly cost-competitive, their intermittent output means operators lean on hybrid models with backup gas and battery storage. At the same time, technology companies are reviving interest in nuclear power, with contracts for over 10 gigawatts of new capacity signed in the US last year.

The expansion is most evident in Europe and North America, with Nordic countries, Spain, and France attracting investment due to their renewable energy resources. At the same time, hubs like Germany, Britain, and Ireland rely on incentives and established ecosystems. Yet, uncertainty remains.

Advances like DeepSeek, a Chinese AI model reportedly as capable as US systems but more efficient, could temper power demand growth. For now, however, the trajectory is clear, AI is reshaping the data centre industry and the global energy landscape.

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AI oversight and audits at core of Pakistan’s security plan

Pakistan plans to roll out AI-driven cybersecurity systems to monitor and respond to attacks on critical infrastructure and sensitive data in real time. Documents from the Ministry for Information Technology outline a framework to integrate AI into every stage of security operations.

The initiative will enforce protocols like secure data storage, sandbox testing, and collaborative intelligence sharing. Human oversight will remain mandatory, with public sector AI deployments registered and subject to transparency requirements.

Audits and impact assessments will ensure compliance with evolving standards, backed by legal penalties for breaches. A national policy on data security will define authentication, auditing, and layered defence strategies across network, host, and application levels.

New governance measures include identity management policies with multi-factor authentication, role-based controls, and secure frameworks for open-source AI. AI-powered simulations will help anticipate threats, while regulatory guidelines address risks from disinformation and generative AI.

Regulatory sandboxes will allow enterprises in Pakistan to test systems under controlled conditions, with at least 20 firms expected to benefit by 2027. Officials say the measures will balance innovation with security, safeguarding infrastructure and citizens.

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Beijing seeks to curb excess AI investment while sustaining growth

China has pledged to rein in excessive competition in AI, signalling Beijing’s desire to avoid wasteful investment while keeping the technology central to its economic strategy.

The National Development and Reform Commission stated that provinces should develop AI in a coordinated manner, leveraging local strengths to prevent duplication and overlap. Officials in China emphasised the importance of orderly flows of talent, capital, and resources.

The move follows President Xi Jinping’s warnings about unchecked local investment. Authorities aim to prevent overcapacity problems, such as those seen in electric vehicles, which have fueled deflationary pressures in other industries.

While global investment in data centres has surged, Beijing is adopting a calibrated approach. The state also vowed stronger national planning and support for private firms, aiming to nurture new domestic leaders in AI.

At the same time, policymakers are pushing to attract private capital into traditional sectors, while considering more central spending on social projects to ease local government debt burdens and stimulate long-term consumption.

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Meta faces turmoil as AI hiring spree backfires

Mark Zuckerberg’s ambitious plan to assemble a dream team of AI researchers at Meta has instead created internal instability.

High-profile recruits poached from rival firms have begun leaving within weeks of joining, citing cultural clashes and frustration with the company’s working style. Their departures have disrupted projects and unsettled long-time executives.

Meta had hoped its aggressive hiring spree would help the company rival OpenAI, Google, and Anthropic in developing advanced AI systems.

Instead of strengthening the company’s position, the strategy has led to delays in projects and uncertainty about whether Meta can deliver on its promises of achieving superintelligence.

The new arrivals were given extensive autonomy, fuelling tensions with existing teams and creating leadership friction. Some staff viewed the hires as destabilising, while others expressed concern about the direction of the AI division.

The resulting turnover has left Meta struggling to maintain momentum in its most critical area of research.

As Meta faces mounting pressure to demonstrate progress in AI, the setbacks highlight the difficulty of retaining elite talent in a fiercely competitive field.

Zuckerberg’s recruitment drive, rather than propelling Meta ahead, risks slowing down the company’s ability to compete at the highest level of AI development.

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Stethoscope with AI identifies heart issues in seconds

A new stethoscope powered by AI could enable doctors to identify three serious heart conditions in just seconds, according to UK researchers.

The device replaces the traditional chest piece with a small sensor that records both electrical signals from the heart and the sound of blood flow, which are then analysed in the cloud by AI trained on large datasets.

The AI tool has shown strong results in trials across more than 200 GP practices, with patients tested using the stethoscope being more than twice as likely to be diagnosed with heart failure within 12 months compared with those assessed through usual care.

It was also 3.45 times more likely to detect atrial fibrillation and almost twice as likely to identify heart valve disease.

Researchers from Imperial College London and Imperial College Healthcare NHS Trust said the technology could help doctors provide treatment at an earlier stage instead of waiting until patients present in hospital with advanced symptoms.

The findings, known as Tricorder, will be presented at the European Society of Cardiology Congress in Madrid.

The project, supported by the National Institute for Health and Care Research, is now preparing for further rollouts in Wales, south London and Sussex. Experts described the innovation as a significant step in updating a medical tool that has remained largely unchanged for over 200 years.

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How local LLMs are changing AI access

As AI adoption rises, more users explore running large language models (LLMs) locally instead of relying on cloud providers.

Local deployment gives individuals control over data, reduces costs, and avoids limits imposed by AI-as-a-service companies. Users can now experiment with AI on their own hardware thanks to software and hardware capabilities.

Concerns over privacy and data sovereignty are driving interest. Many cloud AI services retain user data for years, even when privacy assurances are offered.

By running models locally, companies and hobbyists can ensure compliance with GDPR and maintain control over sensitive information while leveraging high-performance AI tools.

Hardware considerations like GPU memory and processing power are central to local LLM performance. Quantisation techniques allow models to run efficiently with reduced precision, enabling use on consumer-grade machines or enterprise hardware.

Software frameworks like llama.cpp, Jan, and LM Studio simplify deployment, making local AI accessible to non-engineers and professionals across industries.

Local models are suitable for personalised tasks, learning, coding assistance, and experimentation, although cloud models remain stronger for large-scale enterprise applications.

As tools and model quality improve, running AI on personal devices may become a standard alternative, giving users more control over cost, privacy, and performance.

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Salt Typhoon hack reveals fragility of global communications networks

The FBI has warned that Chinese hackers are exploiting structural weaknesses in global telecom infrastructure, following the Salt Typhoon incident that penetrated US networks on an unprecedented scale. Officials say the Beijing-linked group has compromised data from millions of Americans since 2019.

Unlike previous cyber campaigns focused narrowly on government targets, Salt Typhoon’s intrusions exposed how ordinary mobile users can be swept up in espionage. Call records, internet traffic, and even geolocation data were siphoned from carriers, with the operation spreading to more than 80 countries.

Investigators linked the campaign to three Chinese tech firms supplying products to intelligence agencies and China’s People’s Liberation Army. Experts warn that the attacks demonstrate the fragility of cross-border telecom systems, where a single compromised provider can expose entire networks.

US and allied agencies have urged providers to harden defences with encryption and stricter monitoring. Analysts caution that global telecoms will continue to be fertile ground for state-backed groups without structural reforms.

The revelations have intensified geopolitical tensions, with the FBI describing Salt Typhoon as one of the most reckless and far-reaching espionage operations ever detected.

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