Cybersecurity

UK moves to give crypto full legal property status

The United Kingdom has introduced a landmark legal change by formally recognising cryptocurrencies and stablecoins as personal property. The Property Act, which secured royal assent this week, establishes a clear statutory framework for digital ownership after years of fragmented court rulings.

Industry bodies hailed the development as a decisive boost for legal certainty. Groups such as Bitcoin Policy UK and CryptoUK stated that the new rules enhance protection, facilitate token recovery, and clarify uncertainty over ownership and inheritance.

Lawmakers followed guidance from the Law Commission, which urged the creation of a dedicated category for digital assets that did not fit traditional definitions of personal property.

Regulators view the shift as part of a broader effort to reinforce Britain’s ambitions as a digital finance hub.

Ministers are reviewing a possible ban on cryptocurrency donations to political parties. They are also assessing reforms to the taxation of decentralised finance, which could prevent users from triggering capital gains when using lending protocols or liquidity pools.

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SIM-binding mandate forces changes to WhatsApp use in India

India plans to change how major messaging apps operate under new rules requiring SIM binding and frequent re-verification. The directive obliges platforms to confirm that the original SIM remains active, altering long-standing habits around device switching. Services have 90 days to comply with the order.

The Department of Telecom says continuous SIM checks will reduce misuse by linking each account to a live subscriber identity. Companion tools such as WhatsApp Web will automatically log out every 6 hours. Users will need to relink sessions with a QR code to stay connected.

The rules apply to apps that rely on phone numbers, including WhatsApp, Signal, Telegram, and local platforms. The approach mirrors SIM-bound verification used in banking apps in India. It adds a deeper security layer that goes beyond one-time codes and registration checks.

The change may inconvenience people who use Wi-Fi-only tablets or older devices without an active SIM card. It also affects anyone who relies on WhatsApp Web for work or on multi-device setups under a single number. Messaging apps may need new login systems to ease the shift.

Officials argue that tighter controls are needed to limit cyber fraud and protect consumers. Users may still access services, but with reduced flexibility and more frequent verification. India’s move signals a broader push for stronger digital safeguards across core communications tools.

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Dublin startup raises US$2.5 m to protect AI data with encryption

Mirror Security, founded at University College Dublin, has announced a US$2.5 million (approx. €2.15 million) pre-seed funding round to develop what it describes as the next generation of secure AI infrastructure.

The startup’s core product, VectaX, is a fully homomorphic encryption (FHE) engine designed for AI workloads. This technology allows AI systems to process, train or infer on data that remains encrypted, meaning sensitive or proprietary data never has to be exposed in plaintext, even during computation.

Backed by leading deep-tech investors such as Sure Valley Ventures (SVV) and Atlantic Bridge, Mirror Security plans to scale its engineering and AI-security teams across Ireland, the US and India, accelerate development of encrypted inferencing and secure fine-tuning, and target enterprise markets in the US.

As organisations increasingly adopt AI, often handling sensitive data, Mirror Security argues that conventional security measures (like policy-based controls) fall short. Its encryption native approach aims to provide cryptographic guarantees rather than trust-based assurances, positioning the company as a ‘trust layer’ for the emerging AI economy.

The Irish startup also announced a strategic partnership with Inception AI (a subsidiary of G42) to deploy its full AI security stack across enterprise and government systems. Mirror has also formed collaborations with major technology players including Intel, MongoDB, and others.

From a digital policy and global technology governance perspective, this funding milestone is significant. It underlines how the increasing deployment of AI, especially in enterprise and government contexts, is creating demand for robust, privacy-preserving infrastructure. Mirror Security’s model offers a potential blueprint for how to reconcile AI’s power with data confidentiality, compliance, and sovereignty.

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Apple support scam targets users with real tickets

Cybercriminals are increasingly exploiting Apple’s support system to trick users into surrendering their accounts. Fraudsters open real support tickets in a victim’s name, which triggers official Apple emails and creates a false sense of legitimacy. These messages appear professional, making it difficult for users to detect the scam.

Victims often receive a flood of alerts, including two-factor authentication notifications, followed by phone calls from callers posing as Apple agents. The scammers guide users through steps that appear to secure their accounts, often directing them to convincing fake websites that request sensitive information.

Entering verification codes or following instructions on these fraudulent pages gives attackers access to the account. Even experienced users can fall prey because the emails come from official Apple domains, and the phone calls are carefully scripted to build trust.

Experts recommend checking support tickets directly within your Apple ID account, never sharing verification codes, and reviewing all devices linked to your account. Using antivirus software, activating two-factor authentication, and limiting personal information online further strengthen protection against such sophisticated phishing attacks.

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Safran and UAE institute join forces on AI geospatial intelligence

Safran.AI, the AI division of Safran Electronics & Defence, and the UAE’s Technology Innovation Institute have formed a strategic partnership to develop a next-generation agentic AI geospatial intelligence platform.

The collaboration aims to transform high-resolution satellite imagery into actionable intelligence for defence operations.

The platform will combine human oversight with advanced geospatial reasoning, enabling operators to interpret and respond to emerging situations faster and with greater precision.

Key initiatives include agentic reasoning systems powered by large language models, a mission-specific AI detector factory, and an autonomous multimodal fusion engine for persistent, all-weather monitoring.

Under the agreement, a joint team operating across France and the UAE will accelerate innovation within a unified operational structure.

Leaders from both organisations emphasise that the alliance strengthens sovereign geospatial intelligence capabilities and lays the foundations for decision intelligence in national security.

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Data centre power demand set to triple by 2035

Data centre electricity use is forecast to surge almost threefold by 2035. BloombergNEF reported that global facilities are expected to consume around 106 gigawatts by then.

Analysts linked the growth to larger sites and rising AI workloads, pushing utilisation rates higher. New projects are expanding rapidly, with many planned facilities exceeding 500 megawatts.

Major capacity is heading to states within the PJM grid, alongside significant additions in Texas. Regulators warned that grid operators must restrict connections when capacity risks emerge.

Industry monitors argued that soaring demand contributes to higher regional electricity prices. They urged clearer rules to ensure reliability as early stage project numbers continue accelerating.

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When AI use turns dangerous for diplomats

Diplomats are increasingly turning to tools like ChatGPT and DeepSeek to speed up drafting, translating, and summarising documents, a trend Jovan Kurbalija describes as the rise of ‘Shadow AI.’ These platforms, often used through personal accounts or consumer apps, offer speed and convenience that overstretched diplomatic services struggle to match.

But the same ease of use that makes Shadow AI attractive also creates a direct clash with diplomacy’s long-standing foundations of discretion and controlled ambiguity.

Kurbalija warns that this quiet reliance on commercial AI platforms exposes sensitive information in ways diplomats may not fully grasp. Every prompt, whether drafting talking points, translating notes, or asking for negotiation strategies, reveals assumptions, priorities, and internal positions.

Over time, this builds a detailed picture of a country’s concerns and behaviour, stored on servers outside diplomatic control and potentially accessible through foreign legal systems. The risk is not only data leakage but also the erosion of diplomatic craft, as AI-generated text encourages generic language, inflates documents, and blurs the national nuances essential to negotiation.

The problem, Kurbalija argues, is rooted in a ‘two-speed’ system. Technology evolves rapidly, while institutions adapt slowly.

Diplomatic services can take years to develop secure, in-house tools, while commercial AI is instantly available on any phone or laptop. Yet the paradox is that safe, locally controlled AI, based on open-source models, is technically feasible and financially accessible. What slows progress is not technology, but how ministries manage and value knowledge, their core institutional asset.

Rather than relying on awareness campaigns or bans, which rarely change behaviour, Kurbalija calls for a structural shift, where foreign ministries must build trustworthy, in-house AI ecosystems that keep all prompts, documents, and outputs within controlled government environments. That requires redesigning workflows, integrating AI into records management, and empowering the diplomats who have already experimented informally with these tools.

Only by moving AI from the shadows into a secure, well-governed framework, he argues, can diplomacy preserve its confidentiality, nuance, and institutional memory in the age of AI.

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Singapore and the EU advance their digital partnership

The European Union met Singapore in Brussels for the second Digital Partnership Council, reinforcing a joint ambition to strengthen cooperation across a broad set of digital priorities.

Both sides expressed a shared interest in improving competitiveness, expanding innovation and shaping common approaches to digital rules instead of relying on fragmented national frameworks.

Discussions covered AI, cybersecurity, online safety, data flows, digital identities, semiconductors and quantum technologies.

Officials highlighted the importance of administrative arrangements in AI safety. They explored potential future cooperation on language models, including the EU’s work on the Alliance for Language Technologies and Singapore’s Sea-Lion initiative.

Efforts to protect consumers and support minors online were highlighted, alongside the potential role of age verification tools.

Further exchanges focused on trust services and the interoperability of digital identity systems, as well as collaborative research on semiconductors and quantum technologies.

Both sides emphasised the importance of robust cyber resilience and ongoing evaluation of cybersecurity risks, rather than relying on reactive measures. The recently signed Digital Trade Agreement was welcomed for improving legal certainty, building consumer trust and reducing barriers to digital commerce.

The meeting between the EU and Singapore confirmed the importance of the partnership in supporting economic security, strengthening research capacity and increasing resilience in critical technologies.

It also reflected the wider priorities outlined in the European Commission’s International Digital Strategy, which placed particular emphasis on cooperation with Asian partners across emerging technologies and digital governance.

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Italy secures new EU support for growth and reform

The European Commission has endorsed Italy’s latest request for funding under the Recovery and Resilience Facility, marking an important step in the country’s economic modernisation.

An approval that covers 12.8 billion euros, combining grants and loans, and supports efforts to strengthen competitiveness and long-term growth across key sectors of national life.

Italy completed 32 milestones and targets connected to the eighth instalment, enabling progress in public administration, procurement, employment, education, research, tourism, renewable energy and the circular economy.

Thousands of schools have gained new resources to improve multilingual learning and build stronger skills in science, technology, engineering, arts and mathematics.

Many primary and secondary schools have also secured modern digital tools to enhance teaching quality instead of relying on outdated systems.

Health research forms another major part of the package. Projects focused on rare diseases, cancer and other high-impact conditions have gained fresh funding to support scientific work and improve treatment pathways.

These measures contribute to a broader transformation programme financed through 194.4 billion euros, representing one of the largest recovery plans in the EU.

A four-week review by the Economic and Financial Committee will follow before the payment can be released. Once completed, Italy’s total receipts will exceed 153 billion euros, covering more than 70 percent of its full Recovery and Resilience Facility allocation.

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Poetic prompts reveal gaps in AI safety, according to study

Researchers in Italy have found that poetic language can weaken the safety barriers used by many leading AI chatbots.

A work by Icaro Lab, part of DexAI, that examined whether poems containing harmful requests could provoke unsafe answers from widely deployed models across the industry. The team wrote twenty poems in English and Italian, each ending with explicit instructions that AI systems are trained to block.

The researchers tested the poems on twenty-five models developed by nine major companies. Poetic prompts produced unsafe responses in more than half of the tests.

Some models appeared more resilient than others. OpenAI’s GPT-5 Nano avoided unsafe replies in every case, while Google’s Gemini 2.5 Pro generated harmful content in all tests. Two Meta systems produced unsafe responses to twenty percent of the poems.

Researchers also argue that poetic structure disrupts the predictive patterns large language models rely on to filter harmful material. The unconventional rhythm and metaphor common in poetry make the underlying safety mechanisms less reliable.

Additionally, the team warned that adversarial poetry can be used by anyone, which raises concerns about how easily safety systems may be manipulated in everyday use.

Before releasing the study, the researchers contacted all companies involved and shared the full dataset with them.

Anthropic confirmed receipt and stated that it was reviewing the findings. The work has prompted debate over how AI systems can be strengthened as creative language becomes an increasingly common method for attempting to bypass safety controls.

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