Microsoft has limited certain Chinese companies’ access to its early warning system for cybersecurity vulnerabilities following suspicions about their involvement in recent SharePoint hacking attempts.
The decision restricts the sharing of proof-of-concept code, which mimics genuine malicious software. While valuable for cybersecurity professionals strengthening their systems, the code can also be misused by hackers.
The restrictions follow Microsoft’s observation of exploitation attempts targeting SharePoint servers in July. Concerns arose that a member of the Microsoft Active Protections Program may have repurposed early warnings for offensive activity.
Microsoft maintains that it regularly reviews participants and suspends those violating contracts, including prohibitions on participating in cyber attacks.
Beijing has denied involvement in the hacking, while Microsoft has refrained from disclosing which companies were affected or details of the ongoing investigation.
Analysts note that balancing collaboration with international security partners and preventing information misuse remains a key challenge for global cybersecurity programmes.
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Europol has warned that a reported $50,000 reward for information on two members of the Qilin ransomware group is fake. The message, circulating on Telegram, claimed the suspects, known as Haise and XORacle, coordinate affiliates and manage extortion operations.
Europol clarified that it does not operate a Telegram channel and that the message does not originate from its official accounts, which are active on Instagram, LinkedIn, X, Bluesky, YouTube, and Facebook.
Qilin, also known as Agenda, has been active since 2022 and, in 2025, listed over 400 victims on its leak website, including media and pharmaceutical companies.
Recent attacks, such as the one targeting Inotiv, demonstrate the group’s ongoing threat. Analysts note that cybercriminals often circulate false claims to undermine competitors, mislead affiliates, or sow distrust within rival gangs.
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Japan has pledged $5.5 billion in loans and announced an ambitious AI training programme to deepen economic ties with Africa.
At TICAD 9, Prime Minister Shigeru Ishiba proposed creating an Indian Ocean–Africa economic zone to link African nations with Asia and the Middle East.
Japan will also support training 30,000 AI experts over three years to drive digital transformation and job growth across the continent.
The initiative comes amid growing calls from leaders like António Guterres and João Lourenço to overhaul global finance systems and empower African representation.
Japan’s move signals renewed interest in African engagement, as the US scales back and China’s influence expands across the region.
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Indian firms are accelerating the adoption of AI, with many using AI agents to enhance workforce capabilities rather than relying solely on traditional methods.
According to Microsoft’s 2025 Work Trend Index, 93% of leaders in India plan to extend AI integration across their organisations within the next 12 to 18 months.
Frontier firms in India are leading the charge, redesigning operations around collaboration between humans and AI agents instead of following conventional hierarchies.
Over half of leaders already deploy AI to automate workflows and business processes across entire teams, enabling faster and more agile decision-making.
Microsoft notes that AI is becoming a true thought partner, fuelling creativity, accelerating decisions, and redefining teamwork instead of merely supporting routine tasks. Leaders report that embedding AI into daily operations drives measurable improvements in productivity, innovation, and business outcomes.
The findings are part of a global survey of 31,000 participants across 31 countries, highlighting India’s role at the forefront of AI-driven organisational transformation rather than merely following international trends.
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A new MIT study has found that 95% of corporate AI projects fail to deliver returns, mainly due to difficulties integrating them with existing workflows.
The report, ‘The GenAI Divide: State of AI in Business 2025’, examined 300 deployments and interviewed 350 employees. Only 5% of projects generated value, typically when focused on solving a single, clearly defined problem.
Executives often blamed model performance, but researchers pointed to a workforce ‘learning gap’ as the bigger barrier. Many projects faltered because staff were unprepared to adapt processes effectively.
More than half of GenAI budgets were allocated to sales and marketing, yet the most substantial returns came from automating back-office tasks, such as reducing agency costs and streamlining roles.
The study also found that tools purchased from specialised vendors were nearly twice as successful as in-house systems, with success rates of 67% compared to 33%.
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Google Cloud has unveiled a suite of security enhancements at its Security Summit 2025, focusing on protecting AI innovations and empowering cybersecurity teams with AI-driven defence tools.
VP and GM Jon Ramsey highlighted the growing need for specialised safeguards as enterprises deploy AI agents across complex environments.
Central to the announcements is the concept of an ‘agentic security operations centre,’ where AI agents coordinate actions to achieve shared security objectives. It represents a shift from reactive security approaches to proactive, agent-supported strategies.
Google’s platform integrates automated discovery, threat detection, and response mechanisms to streamline security operations and cover gaps in existing infrastructures.
Key innovations include extended protections for AI agents through Model Armour, covering Agentspace prompts and responses to mitigate prompt injection attacks, jailbreaking, and data leakage.
The Alert Investigation agent, available in preview, automates enrichment and analysis of security events while offering actionable recommendations, reducing manual effort and accelerating response times.
Integrating Mandiant threat intelligence feeds and Gemini AI strengthens detection and incident response across agent environments.
Additional tools, such as SecOps Labs and native SOAR dashboards, provide organisations with early access to AI-powered threat detection experiments and comprehensive security visualisation capabilities.
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Google has announced that Gemini will soon power its smart home platform, replacing Google Assistant on existing Nest speakers and displays from October. The feature will launch initially as an early preview.
Gemini for Home promises more natural conversations and can manage complex household tasks, including controlling smart devices, creating calendars, and handling lists or timers through natural language commands. It will also support Gemini Live for ongoing dialogue.
Google says the upgrade is designed to serve all household members and visitors, offering hands-free help and integration with streaming platforms. The move signals a renewed focus on Google Home, a product line that has been largely overlooked in recent years.
The announcement hints at potential new hardware, given that Google’s last Nest Hub was released in 2021 and the Nest Audio speaker dates back to 2020.
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Databricks has secured a fresh funding round that pushes its valuation beyond $100bn, cementing its place among the world’s most valuable private tech firms. The Series K deal marks a sharp rise from the company’s $62bn figure in late 2024 and underscores investor confidence in its long-term AI strategy.
The new capital will accelerate Databricks’ global expansion, fuel acquisitions in the AI space, and support product innovation. Upcoming launches include Agent Bricks, a platform for enterprise-grade AI agents, and Lakebase, a new operational database that extends the company’s ecosystem.
Chief executive Ali Ghodsi said the round was oversubscribed, reflecting strong investor demand. He emphasised that businesses can leverage enterprise data to create secure AI apps and agents, noting that this momentum supports Databricks’ growth across 15,000 customers.
The company has also expanded its role in the broader AI ecosystem through partnerships with Microsoft, Google Cloud, Anthropic, SAP, and Palantir. Last year, it opened a European headquarters in London to cement the UK as a key market and strengthen ties with global enterprises.
Databricks has avoided confirming an IPO timeline, though Ghodsi told CNBC that investor appetite surged after fintech Figma’s listing. With Klarna now eyeing a return to New York, Databricks’ soaring valuation highlights how leading AI firms continue to attract capital even as market conditions shift.
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OpenAI chief Sam Altman has warned that the US may be underestimating China’s rapid advancement in AI.
Speaking to CNBC, Altman explained that China’s use of open-source models and its manufacturing capacity may allow it to move faster in some areas of development.
He questioned the effectiveness of export controls, noting that chip restrictions may not be enough to curb long-term innovation. Chinese firms like DeepSeek and MoonshotAI are gaining traction with open-weight models that rival US offerings in cost and capability.
Altman’s comments echo concerns voiced earlier by Nvidia’s CEO, who said firms like Huawei continue to grow despite restrictions.
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Google’s upcoming Pixel 10 smartphones are tipped to place AI at the centre of the user experience, with three new features expected to redefine how people use their devices.
While hardware upgrades are anticipated at the Made by Google event, much of the excitement revolves around the AI tools that may debut.
One feature, called Help Me Edit, is designed for Google Photos. Instead of spending time on manual edits, users could describe the change they want, such as altering the colour of a car, and the AI would adjust instantly.
Expanding on the Pixel 9’s generative tools, it promises far greater control and speed.
Another addition, Camera Coach, could offer real-time guidance on photography. Using Google’s Gemini AI, the phone may provide step-by-step advice on framing, lighting, and composition, acting as a digital photography tutor.
Finally, Pixel Sense is rumoured to be a proactive personal assistant that anticipates user needs. Learning patterns from apps such as Gmail and Calendar, it could deliver predictive suggestions and take actions across third-party services, bringing the smartphone closer to a truly adaptive companion.
These features suggest that Google is betting heavily on AI to give the Pixel 10 a competitive edge.
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