Generative AI offers major productivity and growth opportunities, but also brings new risks as organisations move from experiments to full deployment. MIT research highlights key risk areas, including training data, foundation models, user prompts, and system prompts.
Researchers identify two types of risk.
Embedded risks come from the technology itself, shaped by model behaviour, data quality, and vendor updates, and are mostly outside an organisation’s control.
Enacted risks arise from choices in deploying AI, from prompt design to agent permissions, and require strong governance.
Advanced uses such as retrieval-augmented generation (RAG) and autonomous AI agents increase exposure. RAG uses internal data to improve outputs, but may reveal sensitive information or control gaps. AI agents acting across multiple tools can lead to ‘autonomy creep,’ performing tasks without proper oversight.
To manage AI risk, organisations should map tools, assign ownership, track outputs, and use separate strategies for embedded and enacted risks. Vendor engagement, governance frameworks, and technical controls are essential for safe AI use.
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A service disruption has affected users of Microsoft Exchange Online, and Microsoft has confirmed ongoing investigations into mailbox access issues affecting enterprise customers worldwide.
Reports indicate that Microsoft users encountered difficulties connecting via multiple access points, including the Microsoft Outlook desktop and mobile applications and browser-based email services. The issue affects specific connection methods rather than the entire platform.
Organisations relying on cloud-based communication tools experienced interruptions in email workflows, calendar scheduling, and shared mailbox functionality. Such disruptions can significantly disrupt operational continuity, particularly for businesses that depend on real-time communication systems.
Updates through Microsoft’s service health channels suggest that engineering teams are working to identify the root cause, though no definitive explanation has yet been provided.
Such incidents highlight broader concerns around resilience in cloud infrastructure, as enterprises increasingly depend on centralised platforms for critical communication services.
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Unlike its predecessors, 6G is being designed from the ground up with AI as a core feature rather than a performance add-on.
From user devices and base stations through to the network core, AI and machine learning will enable 6G networks to self-optimise, manage interference, predict user mobility, and make real-time decisions with minimal human intervention.
One of 6G’s most distinctive capabilities will be Integrated Sensing and Communication (ISAC), which allows radio signals to simultaneously carry data and sense the surrounding environment, effectively turning the network into a vast, distributed sensor capable of detecting motion, tracking objects, and supporting applications such as predictive maintenance and autonomous vehicles.
AI plays a central role in interpreting this sensing data in real time, enabling split-second responses to real-world conditions.
Standardisation efforts are already underway, with 3GPP’s Release 20 exploring how AI and machine learning can optimise the air interface and improve tasks such as channel state information compression.
Commercial 6G deployment is expected in the early 2030s, by which point AI is projected to act as the brain and nervous system of key parts of the network, constantly learning, adapting, and optimising with little human oversight.
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The European Union imposed sanctions on two China-based companies and one Iranian company in connection with cyber operations targeting the EU member states. The Council’s official press release does not specify the underlying operations. The designated entities are Integrity Technology Group and Anxun Information Technology, both based in China, and Emennet Pasargad, based in Iran.
According to an EU statement, Integrity Technology is assessed to have facilitated the compromise of over 65,000 devices across six member states. Anxun is assessed to have provided offensive cyber capabilities targeting critical infrastructure, and two of the company’s co-founders have been individually designated for their roles in these operations.
Emennet is assessed to have a compromised digital advertising infrastructure to disseminate disinformation during the 2024 Paris Olympics.
The sanctions entail an asset freeze and a travel ban for the listed individuals. The EU citizens and entities are additionally prohibited from making funds available to the designated companies.
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South Korea’s three major telecommunications operators plan to deploy advanced network technologies during the BTS comeback concert scheduled for 21 March at Gwanghwamun Square in central Seoul. The initiative aims to bolster network management, prevent congestion, and ensure stable connectivity as large crowds gather in a confined space.
SK Telecom said it will introduce its proprietary AI-powered network management system, A-One, at the event. The technology can recommend optimal equipment placement, predict traffic demand, and monitor real-time network performance to maintain service stability.
To manage heavy data usage during the concert, the company will operate multiple network systems across the venue’s different zones. The setup is designed to allow attendees inside the square to upload photos and videos quickly while enabling viewers outside the venue to stream the concert without interruptions. Additional equipment will also be installed in areas expected to attract international visitors.
KT will deploy its AI-based autonomous traffic management system, W-SDN, which monitors network usage in real time and automatically adjusts traffic flows if congestion is detected. The company will activate an emergency network control mode during the event and deploy about 80 engineers and portable base stations on site.
LG Uplus will also apply its autonomous network management technology, which predicts traffic changes and distributes network loads across nearby base stations. The South Korea-based operator said the system will help ensure uninterrupted connectivity for concertgoers throughout the event.
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In the EU, France is calling for planned European AI ‘gigafactories’ to focus on testing and scaling European technologies rather than primarily increasing demand for hardware from companies such as Nvidia.
The large computing facilities are intended to provide the infrastructure needed to train advanced AI systems. However, officials in France argue that the projects should strengthen Europe’s technological capabilities rather than reinforce reliance on foreign suppliers.
Several EU countries, including Poland, Austria and Lithuania, support using the infrastructure to improve Europe’s digital resilience.
The initiative forms part of the European Commission’s wider plans to expand computing capacity and support the development of a stronger European AI ecosystem.
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Major technology and consumer-facing companies, including Google, Amazon, and OpenAI, have signed the ‘Industry Accord Against Online Scams and Fraud’ to share threat intelligence and strengthen defences against online fraud.
The voluntary pact brings together 11 signatories: Amazon, Adobe, Google, Levi Strauss & Co., LinkedIn, Match Group, Microsoft, Meta, OpenAI, Pinterest, and Target. It aims to improve coordination among companies and strengthen cooperation with governments, law enforcement, and NGOs.
The accord commits to sharing intelligence on criminal networks, using AI to detect fraud, and strengthening verification for financial transactions. Participating companies will also provide clearer reporting channels for users and encourage governments to prioritise scam prevention.
Executives emphasised that tackling scams requires collective effort. Meta’s Nathaniel Gleicher said the accord enables companies to share insights beyond individual cases, while Microsoft’s Steven Masada highlighted the need for faster collaboration to disrupt scams and track perpetrators globally.
The move comes as online scams grow in scale and sophistication, aided by AI-generated content and cross-platform operations. Consumers lost over $16 billion to online scams in 2024, prompting firms to boost safety features and push for stronger regulations and law enforcement.
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The European Council has proposed AI Act amendments, banning nudification tools and tightening rules for processing sensitive personal data. The move represents a key step in streamlining the continent’s digital legislation and improving safeguards for citizens.
Council officials highlighted the prohibition of AI systems that generate non-consensual sexual content or child sexual abuse material. The measure matches a European Parliament ban, showing strong support for tighter AI controls amid misuse concerns.
The proposal follows incidents such as the Grok chatbot producing millions of non-consensual intimate images, which sparked a global backlash and prompted an EU probe into the social media platform X and its AI features.
Other amendments reinstate strict rules for processing sensitive data to detect bias and require providers to register high-risk AI systems, even if claiming exemptions. Negotiations between the Council and Parliament will finalise the AI Act’s updated measures.
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Australia’s financial regulator has warned young investors to be cautious with social media influencers and AI chatbots. A survey by the Australian Securities and Investments Commission found one in four Gen Z Australians invest in crypto, often guided by online content.
The survey of 1,127 participants aged 18 to 28 showed 63% use social media for financial information, 18% rely on AI platforms, and 30% consult YouTube. AI was the most trusted source at 64%, but over half still trust influencers and social media despite possible misinformation.
ASIC previously issued warnings to 18 influencers suspected of promoting high-risk products without a licence. Commissioner Alan Kirkland said some social media marketing promotes crypto scams or risky super switches that threaten young people’s key assets.
The regulator is also watching AI financial guidance. Personalised advice from unlicensed sources is illegal, and young investors should carefully check sources, especially as crypto exchanges increasingly use AI bots for trading guidance.
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Chrome is bringing its advanced AI features to users in India, New Zealand and Canada, aiming to simplify daily browsing tasks and provide instant support. The updates include the integration of Gemini in Chrome and support for over 50 languages.
Users can now interact with a personalised browsing assistant without switching tabs, receiving instant answers, summaries or creative suggestions. Gemini in Chrome allows multitasking and remembers previously visited pages for easier navigation.
Integrations with Google apps such as Gmail, Maps and YouTube enhance productivity directly from the browser. Users can draft emails, schedule meetings, or extract key points from videos without leaving their current page.
Chrome’s AI can also consolidate information from multiple open tabs, streamlining tasks like research or shopping. Nano Banana 2 allows users to transform images on the web in real time, without uploading files or switching windows.
Security remains a priority, with Chrome designed to detect threats and require confirmations for sensitive actions. Gemini in Chrome benefits from automated testing and updates to maintain robust protection as users explore new AI features.
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