Bitcoin cryptography safe as quantum threat remains distant

Quantum computing concerns around Bitcoin have resurfaced, yet analysis from CoinShares indicates the threat remains long-term. The report argues that quantum risk is an engineering challenge that gives Bitcoin ample time to adapt.

Bitcoin’s security relies on elliptic-curve cryptography. A sufficiently advanced quantum machine could, in theory, derive private keys using Shor’s algorithm, which requires millions of stable, error-corrected qubits, and remains far beyond current capability.

Network exposure is also limited. Roughly 1.6 million BTC is held in legacy addresses with visible public keys, yet only about 10,200 BTC is realistically targetable. Modern address formats further reduce the feasibility of attacks.

Debate continues over post-quantum upgrades, with researchers warning that premature changes could introduce new vulnerabilities. Market impact, for now, is viewed as minimal.

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OpenClaw faces rising security pushback in South Korea

Major technology companies in South Korea are tightening restrictions on OpenClaw after rising concerns about security and data privacy.

Kakao, Naver and Karrot Market have moved to block the open-source agent within corporate networks, signalling a broader effort to prevent sensitive information from leaking into external systems.

Their decisions follow growing unease about how autonomous tools may interact with confidential material, rather than remaining contained within controlled platforms.

OpenClaw serves as a self-hosted agent that performs actions on behalf of a large language model, acting as the hands of a system that can browse the web, edit files and run commands.

Its ability to run directly on local machines has driven rapid adoption, but it has also raised concerns that confidential data could be exposed or manipulated.

Industry figures argue that companies are acting preemptively to reduce regulatory and operational risks by ensuring that internal materials never feed external training processes.

China has urged organisations to strengthen protections after identifying cases of OpenClaw running with inadequate safeguards.

Security analysts in South Korea warn that the agent’s open-source design and local execution model make it vulnerable to misuse, especially when compared to cloud-based chatbots that operate in more restricted environments.

Wiz researchers recently uncovered flaws in agents linked to OpenClaw that exposed personal information.

Despite the warnings, OpenClaw continues to gain traction among users who value its ability to automate complex tasks, rather than rely on manual workflows.

Some people purchase separate devices solely to run the agent, while an active South Korea community on X has drawn more than 1,800 members who exchange advice and share mitigation strategies.

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Smart policing project halted by Greek data protection authority

Greece’s data protection authority has warned against activating an innovative policing system planned by the Hellenic Police. The ruling said biometric identity checks carried out on the street would breach data protection law in Greece.

The system would allow police patrols in Greece to use portable devices to scan fingerprints and facial images during spot checks. Regulators said Greek law lacks a clear legal basis for such biometric processing.

The authority said existing rules cited by the Hellenic Police only apply to suspects or detainees and do not cover modern biometric technologies. Greece, therefore, faces unlawful processing risks if the system enters full operation.

The innovative policing project in Greece received the EU funding of around four million euros and received backlash in the past. Regulators said deployment must wait until new legislation explicitly authorises police to use biometrics.

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Yuan-pegged stablecoins face new restrictions under China policy

Chinese regulators have tightened controls on digital assets by banning the unauthorised issuance of yuan-pegged stablecoins overseas. The move extends existing restrictions to tokenised financial products linked to China’s currency and reinforces state control over monetary instruments.

In a joint notice, the People’s Bank of China and seven other agencies said no domestic or foreign entity may issue renminbi-linked stablecoins without approval. Authorities warned that such tokens replicate core monetary functions and could undermine currency sovereignty.

The rules also cover blockchain-based representations of real-world assets, including tokenised bonds and equities. Overseas providers are prohibited from offering these services to users in China without regulatory permission.

Beijing reaffirmed that cryptocurrencies such as Bitcoin and Ether have no legal tender status. Facilitating payments or related services using such assets remains illegal under China’s financial laws.

The measures align with China’s broader strategy of restricting private digital currencies while advancing the state-backed digital yuan. Officials have recently expanded the e-CNY’s role by allowing interest payments to encourage wider adoption.

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Sainsbury’s ejects shopper after facial recognition misidentification

A data professional, Warren Rajah, was escorted out of a Sainsbury’s supermarket in south London after staff incorrectly believed he matched an offender flagged by Facewatch facial recognition technology.

Facewatch later confirmed that there were no alerts or records associated with him, and Sainsbury’s attributed the incident to human error rather than a software fault.

Rajah described the experience as humiliating and ‘Orwellian’, criticising the lack of explanation, absence of a transparent appeals process, and the requirement to submit personal identification to a third party to prove he was not flagged.

He expressed particular concern about the impact such incidents could have on vulnerable customers.

The case highlights broader debates around the deployment of facial recognition in retail, where companies cite reductions in theft and abuse. At the same time, civil liberties groups warn of misidentification, insufficient staff training and the normalisation of privatised biometric surveillance.

UK regulators have reiterated that retailers must assess misidentification risks and ensure robust safeguards when processing biometric data.

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Robots edge closer to human-like movement

Engineers are working to make robots move with greater balance and fluidity, bringing machines closer to human-like motion. Progress depends heavily on actuators, the components that convert energy into precise physical movement.

Traditional electric motors have enabled many robotic breakthroughs, yet limitations in efficiency, safety and responsiveness remain clear. Machines often consume too much power, overheat at small sizes and lack the flexibility needed for smooth interaction.

Major manufacturers including Schaeffler and Hyundai Mobis are now designing advanced actuators that provide better control, real-time feedback and improved energy efficiency. Such innovations could allow humanoid robots to operate safely alongside workers and perform practical industrial tasks.

Researchers are also experimenting with softer materials and air-powered systems that behave more like muscles than rigid machinery. Continued advances could eventually produce robots capable of natural, graceful movement, opening new possibilities for everyday use.

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New Cyber Startup Programme unveiled as Infosecurity Europe boosts early innovation

Infosecurity Europe has launched a new Cyber Startup Programme to support early-stage cybersecurity innovation and strengthen ecosystem resilience. The initiative will debut at Infosecurity Europe 2026, offering founders and investors a dedicated experience focused on emerging technologies and growth.

The programme centres on a new Cyber Startups Zone, an exhibition area showcasing young companies and novel security solutions. Founders will gain industry visibility, along with tailored ticket access and curated networking.

Delivery will take place in partnership with UK Cyber Flywheel, featuring a dedicated founder- and investor-focused day on Tuesday 2 June. Sessions will cover scaling strategies, go-to-market planning, funding, and live pitching opportunities.

Infosecurity Europe will also introduce the Cyber Startup Award 2026, recognising early-stage firms with live products and growth potential. Finalists will pitch on stage, with winners receiving exhibition space, PR support, and a future-brand workshop.

Alongside the programme, the Cyber Innovation Zone, delivered with the UK Department for Science, Innovation and Technology, will spotlight innovative UK cybersecurity businesses and emerging technologies.

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European tech strategy advances with Germany’s new AI factory

Germany has launched one of Europe’s largest AI factories to boost EU-wide sovereign AI capacity. Deutsche Telekom unveiled the new ‘Industrial AI Cloud’ in Munich, in partnership with NVIDIA and Polarise.

Designed to deliver high-performance AI computing for industry, research, and public institutions, the platform keeps data operations under European jurisdiction. Company executives described the project as proof that Europe can build large-scale AI infrastructure aligned with its regulatory and sovereignty goals.

The AI factory runs on nearly 10,000 NVIDIA Blackwell GPUs, providing up to 0.5 exaFLOPS of computing power. Telekom said the capacity would be sufficient to support hundreds of millions of users accessing AI services simultaneously across the EU.

Officials in Germany framed the AI factory initiative as a strategic investment in technological leadership and digital independence. The infrastructure operates under German and EU data protection rules, positioning compliance and security as core competitive advantages.

Industrial applications are central to the project, with companies such as Siemens integrating simulation tools into the platform. The AI factory also runs on renewable energy, uses river water cooling, and plans to reuse waste heat within Munich’s urban network.

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Agentic AI transforms finance systems

Organisations undergoing finance transformations are discovering that traditional system cutovers rarely go as planned. Hidden manual workarounds and undocumented processes often surface late, creating operational risks and delays during ERP migrations.

Agentic AI is emerging as a solution by deploying autonomous software agents that discover real workflows directly from system data. Scout agents analyse transaction logs to uncover hidden dependencies, allowing companies to build more accurate future systems based on actual operations.

Simulator agents to stress test new systems by generating thousands of realistic transactions continuously. When problems arise, agents analyse errors and automatically recommend fixes, turning testing into a continuous improvement process rather than a one-time checkpoint.

Sentinel agents monitor financial records in real time to detect discrepancies before they escalate into compliance risks. Leaders say the approach shifts focus from single go-live milestones to ongoing resilience, with teams increasingly managing intelligent systems instead of manual processes.

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New AI training platform for Olympians unveiled by Google Cloud

Google Cloud has launched an AI-powered video analysis platform designed to help US Ski & Snowboard athletes refine performance ahead of major international competitions.

Built using Gemini and advanced Google DeepMind models, the system analyses the biomechanics behind high-speed freestyle skiing and snowboarding manoeuvres.

Traditional motion capture required specialised suits and controlled lab environments. Google’s platform converts smartphone footage into biomechanical analysis, mapping body positioning, trick amplitude, and edge control within minutes.

Coaches and athletes can query performance data conversationally for immediate insight.

Near real-time delivery marks a significant shift in training methodology. Analysis can be reviewed on the slopes shortly after a run, enabling faster technical adjustments.

The technology is also supporting athlete preparation for the Milano-Cortina 2026 Winter Olympics, where marginal gains can determine podium outcomes.

Applications extend beyond winter sports. Similar AI biomechanics systems could support physical rehabilitation, robotics engineering, and industrial safety environments where precision movement analysis is essential.

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