Cybersecurity

Secure quantum-safe optical transport strengthens Japan’s AI data center infrastructure

Nokia and KDDI Corporation demonstrated quantum-safe optical transport at Sakai Data Center, supporting advanced AI workloads. The network aims to deliver secure, uninterrupted data transfer while protecting sensitive AI operations.

The demonstration showcases KDDI’s scalable AI-ready infrastructure for real-time training, inference, and analytics. Quantum-safe encryption and resilient transport protect customer data and critical infrastructure across Japan’s distributed data centres.

Using Nokia’s 1830 Photonic Service Switch (PSS) and 1830 Security Management Server (SMS), the partners validated high-capacity, secure optical connectivity. The solution delivers privacy, reliability, and fast quantum-safe encryption for modern AI workloads.

Executives from both companies emphasised the importance of secure, scalable networks in enabling AI-driven services. Nokia and KDDI will continue advancing quantum-safe data centre connectivity, supporting Japan’s digital infrastructure and key enterprise applications.

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Strict ban on crypto references introduced by OpenClaw

OpenClaw has introduced a firm community rule prohibiting any reference to Bitcoin or other cryptocurrencies on its Discord server, according to its creator, Peter Steinberger.

Enforcement drew attention after a user was removed for mentioning Bitcoin block height as a timing method in a benchmark, with the developer later offering to restore access.

The policy follows a rebrand scare when scammers hijacked old accounts to promote a fake Solana token. Market value spiked then plunged after Steinberger denied involvement, warning that no official token would be issued.

Rapid growth of the open-source project, which has attracted a large developer base within weeks of launch, contrasts with wider industry momentum linking AI agents and digital assets.

Leaders such as Jeremy Allaire of Circle argue stablecoins could become default payment rails for autonomous software, while Coinbase is already rolling out infrastructure enabling agents to transact on-chain.

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Generative AI presents the biggest data-risk challenge in history

Cybersecurity specialists warn that generative AI systems, such as large language models, are creating a data risk frontier far larger than that posed by previous digital innovations.

Because these models are trained on extensive datasets drawn from web pages, internal documents, email corpora and proprietary sources, they can unintentionally memorise or regenerate sensitive information, increasing the risk of exposure.

The article highlights several core concerns. Data leakage and memorisation, where AI models can repeat or infer private data if training processes are not tightly controlled.

Amplification of poor hygiene, when generative tools can magnify the reach of bad actors by automating phishing, social engineering, and malware generation at scale.

Compounding breach impact, if an AI model is trained on stolen or leaked data, it could internalise and regurgitate that information without detection, entrenching harm. Cloud and access governance gaps that allow organisations to adopt AI without robust access controls and encryption may widen their attack surface.

The author calls for revised data governance frameworks, including strict training data provenance, auditability, encryption, minimisation and purpose limitation, to mitigate what is described as ‘the biggest data risk in history.’

Recommendations also include accountability measures for models, continuous monitoring, and legislative action to align AI development with privacy and security principles.

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Quantum computing breakthrough slows information loss

Chinese scientists have observed and controlled a rare intermediate state in a quantum system, effectively slowing quantum chaos. Using the 78-qubit Chuang Tzu 2.0 superconducting processor, researchers demonstrated how a temporary stable phase can be extended or shortened.

The team identified a prethermalisation plateau, a brief period during which the system resists disorder before rapidly descending into full complexity. Careful adjustment of control sequences enabled scientists to tune the rate of quantum decoherence and control how information spreads.

Findings, published in Nature, offer a potential window for preserving fragile quantum information. Longer coherence times could significantly improve the reliability of quantum computing and error correction methods.

Researchers say the work also highlights the advantage of quantum processors in simulating phenomena too complex for classical supercomputers. Applications may range from drug discovery and advanced materials research to next-generation secure communications.

Continued development of larger and more powerful quantum chips is now underway. Mastering such transitional states will be crucial to unlocking the full potential of quantum technologies.

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Digital addiction in Italy sparks debate over social media bans

Italy has warned that digital addiction among teenagers is rising sharply, as health authorities link excessive social media and gaming use to family and educational challenges. Officials say bans alone will not resolve the issue.

According to Italy’s National Institute of Health, about 100,000 young people aged 15 to 18 are at risk of social media addiction. A further 500,000 are estimated to suffer from gaming disorder, recognised by the World Health Organisation as a medical condition.

A survey by digital ethics group Social Warning found that 77 percent of Italian teenagers consider themselves addicted to their devices. However, many say they lack the tools or support to change their behaviour.

Research by ‘Con i Bambini’, which funds projects tackling educational poverty in Italy, links digital dependency to isolation and strained parental relationships. The organisation says legislative measures can protect minors but cannot replace structured education and family support.

The debate extends across the EU. The European Parliament has called for a minimum age of 16 for social media platforms, while France, Italy, and Spain are considering national restrictions. Experts argue that prevention and digital literacy must complement regulation.

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Fake Google Forms phishing campaign targets job seekers

A phishing campaign is targeting job seekers with fake Google Forms pages designed to harvest account credentials. Attackers are using a spoofed domain, forms.google.ss-o[.]com, to mimic the legitimate Google Forms service and trick victims into signing in.

The fraudulent pages advertise a Customer Support Executive role and prompt applicants to enter personal details before clicking a ‘Sign in’ button. Victims are then redirected to id-v4[.]com/generation.php, a domain previously linked to credential harvesting campaigns.

Researchers identified the operation as part of a broader wave of job-themed phishing attacks. The attackers used a script called generation_form.php to create personalised tracking links and implemented redirects to evade security analysis by sending suspicious visitors to local Google search pages.

Security experts warn that the campaign relies on domain impersonation techniques, including the use of ‘ss-o’ to resemble ‘single sign-on’. The fake site reproduces Google branding elements and standard disclaimers to increase credibility.

Users are advised to avoid clicking unsolicited job links, verify opportunities through official channels, and enable multi-factor authentication. Password managers and real-time anti-malware tools can also reduce exposure to credential theft.

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EVMbench from OpenAI, Paradigm and OtterSec measures AI smart contract risks

OpenAI, with Paradigm and OtterSec, introduced EVMbench to test how AI agents detect, patch, and exploit smart contract flaws. The benchmark draws on 120 real vulnerabilities from 40 blockchain projects to better reflect live conditions.

Researchers report that leading agents can now discover and exploit end-to-end vulnerabilities in live blockchain instances. Over six months, exploit success rates rose sharply, prompting both praise for improved auditing capabilities and concern over the rapid scaling of offensive skills.

EVMbench evaluates agents across three modes: detect, patch, and exploit. Each stage reflects increasing technical complexity and mirrors the responsibilities faced in production blockchain environments, where contracts are often immutable, and errors can lead to irreversible losses.

Recent incidents underline the stakes. A vulnerability in AI-generated Solidity code reportedly mispriced an asset, triggering liquidations and losses. Such cases highlight the risks of deploying AI-written financial logic without rigorous human review and governance safeguards.

While EVMbench advances measurement of AI capabilities, it remains limited to curated vulnerabilities and sandboxed conditions. As blockchain adoption expands and criminal misuse evolves, researchers stress the need for responsible AI development alongside stronger innovative contract security practices.

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Lithuania selects Swiss firm Procivis for national eIDAS 2.0 wallet sandbox

Swiss firm Procivis has secured a contract to deliver Lithuania’s end-to-end Digital Identity Wallet sandbox, supporting the country’s preparations under eIDAS 2.0. The project will establish a national testbed for digital ID use cases and interoperability across the European Union.

Selected by Lithuania’s digitalisation agency, Procivis will build a platform for public authorities and relying parties to test secure digital wallet use cases. The sandbox will validate readiness ahead of the EU’s 2027 digital identity wallet deadline.

The updated eIDAS 2.0 technical framework sets out how wallets will store and share trusted digital credentials and electronic identification. Governments and private organisations will be able to integrate services into the wallets, streamlining authentication, onboarding, and cross-border access.

Across Lithuania and the EU, testbeds and large-scale pilots have been central to turning regulatory requirements into interoperable infrastructure. Lithuania’s sandbox will also support activities under the EU’s LSP Aptitude consortium, which is testing cross-sector digital identity solutions.

Procivis said the collaboration aims to accelerate practical validation while ensuring compliance with European standards on security, interoperability, and data protection. The company stated that supporting a timely, budget-aligned implementation of eIDAS 2.0 remains central to its mission.

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India’s UIDAI rolls out AI-enabled biometric deduplication and document verification platform

UIDAI has deployed an advanced platform that uses AI-enabled models to improve biometric deduplication, the process of ensuring that each resident has a unique identity record, by checking fingerprints, facial images and iris scans against the entire Aadhaar database.

The authority describes this system, developed with the International Institute of Information Technology, Hyderabad, as an ‘Invisible Shield’ that can perform billions of computations efficiently at a population scale, running on high-performance inference infrastructure such as NVIDIA DGX systems to enhance accuracy and speed nationwide.

In addition to biometric matching, the platform incorporates AI-based document metadata extraction and verification to curb enrolment fraud, using secure APIs (e.g. DigiLocker) for source-of-truth checks against submitted documents.

The system is already being rolled out in several states. It is expected to expand across India in the coming months, boosting service quality, reducing turnaround times for Aadhaar enrolment and update transactions, and reinforcing trust in the digital identity infrastructure.

The initiative is part of a broader push to leverage AI for fraud detection and identity assurance at a national scale. It comes amid ongoing efforts by UIDAI to modernise authentication processes as biometric and AI-based systems evolve.

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Bremen trials AI-based safety system ‘AI Watch’ on city trams

The city of Bremen, Germany, has begun piloting an AI-based safety system called AI Watch on its tram fleet. The technology uses onboard cameras and computer vision models to automatically detect potential safety issues, such as passengers too close to doors, objects on the tracks, or unexpected pedestrian behaviour, and alerts tram operators in real time.

The goal is to reduce accidents and enhance situational awareness without replacing human oversight.

Developed with transport and AI specialists, AI Watch integrates with vehicles’ existing sensor suites and is designed to function in real-time operational environments. During the pilot, the system has been tested under various traffic and lighting conditions to refine hazard recognition accuracy and minimise false alarms.

BSAG representatives say the AI support tool complements human judgement, helping drivers focus on decision-making rather than continuously scanning for hazards.

The initiative comes as cities explore AI applications in urban mobility, from predictive maintenance to intelligent traffic management and automated incident detection, to improve safety, efficiency and passenger experience.

Bremen’s pilot will be evaluated for scalability across additional routes and potentially other types of public transport vehicles.

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