Following last week’s announcements on AI-driven cybersecurity, Google Cloud has unveiled further tools at its Security Summit 2025 aimed at protecting enterprise AI deployments and boosting efficiency for security teams.
The updates build on prior innovations instead of replacing them, reinforcing Google’s strategy of integrating AI directly into security operations.
Vice President and General Manager Jon Ramsey highlighted the growing importance of agentic approaches as AI agents operate across increasingly complex enterprise environments.
Building on the previous rollout, Google now introduces Model Armor protections, designed to shield AI agents from prompt injections, jailbreaking, and data leakage, enhancing safeguards without interrupting existing workflows.
Additional enhancements include the Alert Investigation agent, which automates event enrichment and analysis while offering actionable recommendations.
By combining Mandiant threat intelligence feeds with Google’s Gemini AI, organisations can now detect and respond to incidents across distributed agent networks more rapidly and efficiently than before.
SecOps Labs and updated SOAR dashboards provide early access to AI-powered threat detection experiments and comprehensive visualisations of security operations.
These tools allow teams to continue scaling agentic AI security, turning previous insights into proactive, enterprise-ready protections for real-world deployments.
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Poland has become the leading global target for politically and socially motivated cyberattacks, recording over 450 incidents in the second quarter of 2025, according to Spain’s Industrial Cybersecurity Center.
The report ranked Poland ahead of Ukraine, the UK, France, Germany, and other European states in hacktivist activity. Government institutions and the energy sector were among the most targeted, with organisations supporting Ukraine described as especially vulnerable.
ZIUR’s earlier first-quarter analysis had warned of a sharp rise in attacks against state bodies across Europe. Pro-Russian groups were identified as among the most active, increasingly turning to denial-of-service campaigns to disrupt critical operations.
Europe accounted for the largest share of global hacktivism in the second quarter, with more than 2,500 successful denial-of-service attacks recorded between April and June, underlining the region’s heightened exposure.
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The United Kingdom has unveiled a strategy to grow its digital economy to £1 trillion by harnessing AI, quantum computing, and cybersecurity. The plan emphasises public-private partnerships, training, and international collaboration to tackle skills shortages and infrastructure gaps.
The initiative builds on the UK tech sector’s £1.2 trillion valuation, with regional hubs in cities such as Bristol and Manchester fuelling expansion in emerging technologies. Experts, however, warn that outdated systems and talent deficits could stall progress unless workforce development accelerates.
AI is central to the plan, with applications spanning healthcare and finance. Quantum computing also features, with investments in research and cybersecurity aimed at strengthening resilience against supply disruptions and future threats.
The government highlights sustainability as a priority, promoting renewable energy and circular economies to ensure digital growth aligns with environmental goals. Regional investment in blockchain, agri-tech, and micro-factories is expected to create jobs and diversify innovation-driven growth.
By pursuing these initiatives, the UK aims to establish itself as a leading global tech player alongside the US and China. Ethical frameworks and adaptive strategies will be key to maintaining public trust and competitiveness.
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Cyberattacks are intensifying worldwide, with Australia now ranked fourth globally for threats against operational technology and industrial sectors. Rising AI-powered incursions have exposed serious vulnerabilities in the country’s national defence and critical infrastructure.
The 2023–2030 Cyber Security Strategy designed by the Government of Australia aims to strengthen resilience through six ‘cyber shields’, including legislation and intelligence sharing. But a skills shortage leaves organisations vulnerable as ransomware attacks on mining and manufacturing continue to rise.
One proposal gaining traction is the creation of a volunteer ‘cyber militia’. Inspired by the cyber defence unit in Estonia, this network would mobilise unconventional talent, retirees, hobbyist hackers, and students, to bolster monitoring, threat hunting, and incident response.
Supporters argue that such a force could fill gaps left by formal recruitment, particularly in smaller firms and rural networks. Critics, however, warn of vetting risks, insider threats, and the need for new legal frameworks to govern liability and training.
Pilot schemes in high-risk sectors, such as energy and finance, have been proposed, with public-private funding viewed as crucial. Advocates argue that a cyber militia could democratise security and foster collective responsibility, aligning with the country’s long-term cybersecurity strategy.
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Residents of Tokyo have been shown a stark warning of what could happen if Mount Fuji erupts.
The metropolitan government released a three-minute AI-generated video depicting the capital buried in volcanic ash to raise awareness and urge preparation.
The simulation shows thick clouds of ash descending on Shibuya and other districts about one to two hours after an eruption, with up to 10 centimetres expected to accumulate. Unlike snow, volcanic ash does not melt away but instead hardens, damages powerlines, and disrupts communications once wet.
The video also highlights major risks to transport. Ash on train tracks, runways, and roads would halt trains, ground planes, and make driving perilous.
Two-wheel vehicles could become unusable under even modest ashfall. Power outages and shortages of food and supplies are expected as shops run empty, echoing the disruption seen after the 2011 earthquake.
Officials advise people to prepare masks, goggles, and at least three days of emergency food. The narrator warns that because no one knows when Mount Fuji might erupt, daily preparedness in Japan is vital to protect health, infrastructure, and communities.
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The European Union and South Korea will bring together top policymakers, industry experts, and academics for a high-level seminar on the role of AI in transforming energy systems. The event, titled ‘AI & Energy: Delivering EU and Korea’s Digital and Green Ambitions’, will take place on 27 August 2025 during the World Climate Industry Expo in Busan.
It comes at a time when AI is revolutionising global industries and driving up energy demand, with data centres alone expected to double their electricity use by 2030. Around 150 participants will explore how AI can optimise grids, boost efficiency, and make energy systems more flexible, while ensuring sustainability.
Senior European officials, including Ditte Juul Jørgensen of the European Commission and climate leaders from Finland and the Netherlands, will join Korean representatives to discuss opportunities for cooperation. The seminar builds on the momentum of international clean energy talks held a day earlier.
The discussions also align with the EU’s Affordable Energy Action Plan, which launched a consultation earlier this month to shape its 2026 Strategic Roadmap on digitalisation and AI in energy. That initiative aims to scale up innovative technologies to accelerate decarbonisation.
Meanwhile, under President Lee Jae-Myung, South Korea is pursuing its own AI-driven growth strategy, investing in ‘AI highways’ and a national coordination body to support the energy transition.
The seminar underscores the EU–Korea Green Partnership’s vision: building a clean, competitive, and digitally empowered energy future by bringing together policymakers, researchers, and industry innovators.
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Google is urging its workforce to adopt AI in everyday tasks instead of relying solely on traditional methods.
CEO Sundar Pichai has warned that falling behind in AI could risk the company’s competitive edge, especially as rivals like Microsoft, Amazon and Meta push their staff to embrace similar tools.
Early trials inside Google suggest a significant boost in efficiency, with engineers reporting a 10% increase in weekly productivity after adopting AI.
The company has launched a training initiative called AI Savvy Google to accelerate the shift. The programme provides courses, toolkits and hands-on sessions to help employees integrate AI into their workflows.
One of the standout tools is Cider, an AI-powered coding assistant already used by half of the engineers with access to it.
Executives believe AI will soon become an essential part of software engineering. Brian Saluzzo, a senior leader at Google, told staff that internal AI tools will continue to improve and become deeply embedded in coding work.
The company stresses the importance of using AI to support rather than replace workers, with the training programme designed to upskill employees instead of pushing them aside.
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American technology company Nvidia has unveiled Spectrum-XGS Ethernet, a new networking technology designed to connect multiple data centres into unified giga-scale AI factories.
With AI demand skyrocketing, single facilities are hitting limits in power and capacity, creating the need for infrastructure that can operate across cities, nations and continents.
Spectrum-XGS extends Nvidia’s Spectrum-X Ethernet platform, introducing what the company calls a ‘scale-across’ approach, alongside scale-up and scale-out models.
Integrating advanced congestion control, latency management, and telemetry nearly doubles the performance of the Nvidia Collective Communications Library, allowing geographically distributed data centres to function as one large AI cluster.
Early adopters like CoreWeave are preparing to link their facilities using the new system. According to Nvidia, the technology offers 1.6 times greater bandwidth density than traditional Ethernet and features Spectrum-X switches and ConnectX-8 SuperNICs, optimised for hyperscale AI operations.
The company argues that the approach will define the next phase of AI infrastructure, enabling super-factories to manage millions of GPUs while improving efficiency and lowering operational costs.
Nvidia CEO Jensen Huang described the development as part of the AI industrial revolution, highlighting that Spectrum-XGS can unify data centres into global networks that act as vast, giga-scale AI super-factories.
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Google has released its Password Manager as a standalone app for Android, separating the service from Chrome for easier access. The new app allows users to quickly view and manage saved passwords, passkeys and login details directly from their phone.
The app itself does not introduce new features. It functions mainly as a shortcut to the existing Password Manager already built into Android and Chrome.
For users, there is little practical difference between the app and the integrated option, although some may prefer the clarity of having a dedicated tool instead of navigating through browser settings.
For Google, however, the move brings advantages. By listing Password Manager in the Play Store, the company can compete more visibly with rivals like LastPass and 1Password.
Previously, many users were unaware of the built-in feature since it was hidden within Chrome. The Play Store presence also gives Google a direct way to push updates and raise awareness of the service.
The app arrives with Google’s Material 3 design refresh, giving it a cleaner look that aligns with the rest of Android. Functionality remains unchanged for now, but the shift suggests Google may expand the app in the future.
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Google has published new estimates on the environmental footprint of Gemini, claiming a single text prompt uses about five drops of water and 0.24 watt-hours of electricity. The company says this equates to 0.03 grams of carbon dioxide emissions.
According to Google, efficiencies have reduced Gemini’s energy consumption and carbon footprint per text prompt by factors of 33 and 44 over the past year. Chief technologist Ben Gomes said the model now delivers higher-quality responses with a significantly lower footprint.
The company argued that these figures are significantly lower than those suggested in earlier research. However, Shaolei Ren, the author of one of the cited papers, said Google’s comparisons were misleading and incomplete.
Ren noted that Google compared its latest onsite-only water figures against his study’s highest total figures, creating the impression that Gemini was far more efficient. He also said Google omitted indirect water use, such as electricity-related consumption, from its estimates.
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