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Google responds to UK digital market rules and CMA proposals

Debate over proposed UK digital market rules is intensifying, with Google outlining its position and emphasising the need to balance competition with user experience and platform integrity. The company said it supports the objectives of the Competition and Markets Authority but warned that some proposals could introduce risks for users.

Google argued that maintaining fair and relevant search results remains a priority, stating that its ranking systems are designed to prioritise quality rather than favour its own services. It cautioned that certain third-party proposals could expose its systems to manipulation, potentially weakening protections against spam and reducing the pace of product improvements.

The company also addressed user choice on Android devices, noting that existing options already allow users to select preferred services. It suggested that adding frequent mandatory choice screens could disrupt user experience, proposing instead a permanent settings-based option to change defaults without repeated prompts.

Regarding publisher relations, Google highlighted efforts to increase control over how content is used, particularly with generative AI features such as AI Overviews. It said new tools are being developed to allow publishers to opt out of specific AI functionalities while maintaining visibility in search results.

Google said it would continue engaging with UK regulators to shape rules that support users, publishers, and businesses, while ensuring that innovation and service quality are not compromised.

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Gemini and Search gain deeper personalisation tools

Google has expanded Personal Intelligence across AI Mode in Search, the Gemini app, and Gemini in Chrome for US users. Rollout follows early adoption, where users responded positively to more tailored and context-aware assistance.

Personal Intelligence connects data across services such as Gmail and Google Photos to deliver highly personalised responses. Queries no longer need full context, as the system uses past purchases, travel history, and preferences to deliver relevant suggestions.

Use cases range from customised shopping recommendations and technical troubleshooting to travel planning and itinerary creation. Suggestions adapt to user habits, including preferred brands, past bookings, and time constraints, delivering more precise results.

Privacy remains central to the rollout, with users retaining control over which apps are connected. Data from personal services is not directly used to train AI models, while limited interaction data helps improve performance over time.

Access is currently limited to personal Google accounts, excluding enterprise and education users.

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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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Google Earth AI supports disease forecasting and public health planning

Researchers are increasingly combining geospatial data with predictive modelling to anticipate health risks.

In that context, Google has introduced new capabilities within Google Earth AI designed to help public health experts forecast outbreaks and identify vulnerable communities.

The system integrates environmental information such as weather patterns, flooding and air quality with population mobility data and health records.

These insights allow researchers to analyse how environmental conditions influence the spread of diseases, including Dengue Fever and Cholera.

Several research initiatives are already testing the models. In collaboration with the World Health Organisation Regional Office for Africa, forecasting tools combining Google’s time-series models with geospatial data improved cholera prediction accuracy by more than 35 percent.

Academic researchers are also applying the technology to other diseases. Scientists at the University of Oxford have used Earth AI datasets to improve six-month dengue forecasts in Brazil, helping local authorities prepare preventative responses.

The technology is also being tested for chronic disease analysis. In Australia, partnerships with health organisations are exploring how geospatial models can identify regional health needs and support preventative care strategies.

Combining environmental intelligence with health data could enable public health systems to shift from reactive crisis management to earlier detection and prevention of disease outbreaks.

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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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AI is helping close the heart health gap in remote Australian communities

Google has launched a new AI-powered initiative aimed at reducing heart disease risk in rural Australia, where people living in remote communities are 60% more likely to die from heart disease than those in metropolitan areas.

The programme, a first for the Asia-Pacific region, is backed by a $1 million AUD investment from Google Australia’s Digital Future Initiative and brings together Wesfarmers Health, SISU Health, the Victor Chang Cardiac Research Institute, and Latrobe Health Services.

At the centre of the initiative is Google for Health’s Population Health AI (PHAI), an advanced analytics tool that analyses aggregated and de-identified datasets, including clinical records, air quality, pollen levels, and geographic data, to identify hidden health risks at a community level.

The aim is to help health organisations move away from reactive treatment towards proactively managing chronic condition risks tailored to specific towns or postcodes.

SISU Health will use PHAI insights to guide the delivery of over 50,000 new health screenings across remote areas, combining geographic AI analysis with on-the-ground community care. Google described the goal as ensuring every Australian has access to personalised care regardless of where they live.

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Google outlines roadmap for safer generative AI for young users

Google has presented a strategy for developing generative AI systems designed to protect younger users better better while supporting learning and creativity.

The approach emphasises building conversational AI experiences that balance innovation with safeguards tailored to children and teenagers.

The company’s framework rests on three pillars: protecting young people online, respecting the role of families in digital environments and enabling youth to explore AI technologies responsibly.

According to Google, safety policies prohibit harmful content, including material linked to child exploitation, violent extremism and self-harm, while additional restrictions target age-inappropriate topics.

Safeguards are integrated throughout the AI development lifecycle, from user input to model responses. Systems use specialised classifiers to detect potentially harmful queries and prevent inappropriate outputs.

These protections are also applied to models such as Gemini, which incorporates defences against prompt manipulation and cyber misuse.

Beyond preventing harm, Google aims to support responsible AI adoption through educational initiatives.

Resources designed for families encourage discussions about responsible technology use, while tools such as Guided Learning in Gemini seek to help students explore complex topics through structured explanations and interactive learning support.

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AI-driven adaptive malware highlights new cyber threat landscape

Google’s cybersecurity division, Mandiant, has warned about the growing threat of AI-driven adaptive malware, highlighting how AI is reshaping the cyber threat landscape.

According to a recent report, adaptive malware can modify its behaviour and code in response to the environment it encounters, thereby evading traditional security tools. By analysing the security systems protecting a target, the malware can rewrite parts of its code to bypass detection.

Unlike traditional malware, which typically follows fixed instructions, adaptive malware can adjust its behaviour during an attack. This capability makes it more difficult for conventional cybersecurity tools to detect and block malicious activity.

Mandiant noted that such malware is increasingly associated with advanced persistent threat (APT) groups that conduct long-term, targeted cyber operations. These groups often pursue espionage objectives or financial gain while maintaining prolonged access to compromised systems.

AI is also being used to automate elements of cyberattacks. Machine learning algorithms allow malicious software to anticipate defensive measures and adjust its behaviour in real time. In some cases, attackers are integrating AI into broader automated attack chains. AI-driven malware can gather information, adapt its strategy, and continue operating with minimal human intervention.

Security researchers say autonomous AI agents may be capable of managing multiple stages of an attack, including reconnaissance, exploitation, and persistence, while remaining undetected.

To address these evolving threats, Mandiant recommends that organisations strengthen their cybersecurity strategies by deploying advanced detection and response tools, including AI-based systems that can identify anomalous behaviour. As AI capabilities continue to develop, cybersecurity experts say understanding adaptive malware and automated attack techniques will be essential for organisations seeking to protect their systems and data.

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Google adds option to disable AI search in Google Photos

Users of Google Photos will now have greater control over how they search their images, after Google introduced a visible toggle that returns to the traditional search experience.

The update follows complaints about the AI-powered Ask Photos feature.

Ask Photos was designed to allow users to search for images using natural language queries rather than simple keywords. The tool aimed to make photo searches more flexible, enabling complex queries such as descriptions of people, events or locations captured in images.

However, some users reported that the AI system produced slower results and occasionally failed to locate images that the classic search had previously found more reliably.

Although an option to turn off the AI feature already existed, it was hidden within settings and often overlooked.

The new update introduces a visible switch directly on the search interface. Users can now easily alternate between the AI-powered search and the traditional search system depending on their preferences.

Google said improvements have also been made to the quality of common searches following user feedback. The company emphasised that search remains one of the most frequently used functions within Google Photos and that ongoing updates will continue to refine the experience.

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Malaysia expands AI learning across universities with Google tools

AI tools from Google are now available across all public universities in Malaysia after the nationwide deployment of Gemini for Education.

An initiative that integrates AI capabilities into university systems, providing digital research and learning support to nearly 600,000 students and 75,000 faculty members.

The rollout is coordinated with the Ministry of Higher Education Malaysia as part of the country’s broader strategy to become an AI-driven economy by 2030. Universities already using Google Workspace for

Education can now access advanced tools, including NotebookLM and the reasoning model Gemini 3.1 Pro, which are designed to support research, writing and personalised learning.

Several universities are already experimenting with AI-assisted teaching. At Universiti Malaysia Perlis, lecturers have created customised AI assistants to guide students through specialised engineering courses.

Meanwhile, researchers and students at Universiti Putra Malaysia are using AI tools to improve literature reviews and academic research workflows.

Other institutions are focusing on digital literacy and AI skills.

At Universiti Malaysia Sarawak, hundreds of lecturers and students are receiving AI certifications, while training programmes are expanding across campuses.

Officials believe the combination of AI tools, training and research support will strengthen the education system of Malaysia and prepare graduates for an increasingly AI-driven economy.

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