Blockchain and AI security central to US cyber framework

The US National Cyber Strategy emphasises support for emerging technologies, including blockchain, cryptocurrencies, AI, and post-quantum cryptography. The strategy highlights the importance of securing digital infrastructure while advancing technological leadership.

The strategy rests on six pillars, including modernising federal networks, protecting critical infrastructure, and advancing secure technology. Specific sections reference cryptocurrencies and blockchain, noting the need to safeguard digital systems from design to deployment.

Financial systems, data centres, and telecommunications networks are identified as key components of the broader cybersecurity framework. The strategy also stresses collaboration with private-sector technology companies and research institutions to foster innovation and strengthen protections.

AI plays a central role, with measures to secure AI data centres and deploy AI-driven tools for network defence. The plan avoids direct crypto rules but signals greater integration of blockchain and cryptography into national digital infrastructure.

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Concerns grow over Grok AI content on X platform

Social media platform X has launched an investigation into racist and offensive posts generated by its Grok AI chatbot in the UK. The review follows a Sky News analysis that flagged troubling responses produced publicly by the system.

Analysis by the broadcaster found Grok generating highly offensive replies, including profanities targeting certain religions. Some responses also repeated false claims blaming Liverpool supporters for the 1989 Hillsborough disaster.

Sky News reporter Rob Harris said X safety teams were urgently examining the chatbot’s behaviour after the posts spread online. The company and its AI developer xAI did not immediately respond to requests for comment.

Concerns around Grok come as governments and regulators increasingly scrutinise AI-generated content on social platforms. Authorities in several countries have already raised alarms about sexually explicit or harmful material created by chatbots.

Earlier this year, xAI introduced new restrictions to limit some image editing features in Grok. Users in certain jurisdictions were also blocked from generating images of people in revealing clothing where such content is illegal.

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AI biotech firm pushes limits of human lifespan

Longevity research is gaining momentum as AI transforms the way scientists search for new medicines. Insilico Medicine, founded by Alex Zhavoronkov in 2014, combines machine learning and automation to study ageing and accelerate drug discovery.

Company research focuses on identifying biological targets linked to ageing and developing molecules to treat related diseases. Several experimental treatments have already received Investigational New Drug clearance, allowing them to move towards human clinical trials.

Insilico also became the first AI-driven biotech company to list on the Hong Kong Stock Exchange, raising HK$2.28 billion in its public offering. Zhavoronkov said careful financial planning was essential because enthusiasm around AI could still form a market bubble.

Expansion plans now include deeper partnerships across China and the Middle East. A new collaboration in the UAE aims to build regional AI drug discovery programmes and diversify economies beyond oil.

Beyond medicines, Zhavoronkov envisions integrated biotech ecosystems where living spaces, healthcare and research operate together. Such hubs allow scientists and citizens to contribute health data that helps develop future treatments.

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Anthropic and Mozilla collaborate to uncover critical Firefox vulnerabilities

AI models are increasingly capable of detecting high-severity software vulnerabilities at unprecedented speeds. Claude Opus 4.6 found 22 new Firefox vulnerabilities in two weeks, 14 of which were rated high-severity, accounting for nearly a fifth of all 2025 high-severity fixes.

Researchers emphasise that AI can accelerate the find-and-fix process, providing valuable support to software maintainers.

Anthropic’s collaboration with Mozilla enabled the team to validate the findings and submit detailed bug reports, including proofs of concept and candidate patches. Claude initially focused on Firefox’s JavaScript engine before expanding to other components.

Although capable of generating primitive exploits in controlled environments, the AI was far more effective at identifying vulnerabilities than exploiting them, giving defenders a critical advantage.

Researchers emphasised the importance of task verifiers, which ensure that AI-generated patches fix vulnerabilities without breaking functionality. Such verification processes increase confidence in AI-assisted fixes and provide a reliable framework for maintainers to adopt AI findings safely.

Looking ahead, AI models like Claude are expected to play an expanding role in cybersecurity, helping developers detect and remediate vulnerabilities across complex software projects. Experts urge maintainers to act swiftly to strengthen security while AI capabilities continue to advance.

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Hackers can use AI to de-anonymise social media accounts

AI technology behind platforms like ChatGPT is making it significantly easier for hackers to identify anonymous social media users, a new study warns. LLMs could match anonymised accounts to real identities by analysing users’ posts across platforms.

Researchers Simon Lermen and Daniel Paleka warned that AI enables cheap, highly personalised privacy attacks, urging a rethink of what counts as private online. The study highlighted risks from government surveillance to hackers exploiting public data for scams.

Experts caution that AI-driven de-anonymisation is not flawless. Errors in linking accounts could wrongly implicate individuals, while public datasets beyond social media- such as hospital or statistical records- may be exposed to unintended analysis.

Users are urged to reconsider what information they share, and platforms are encouraged to limit bulk data access and detect automated scraping.

The study underscores growing concerns about AI surveillance. While the technology cannot guarantee complete de-anonymisation, its rapid capabilities demand stronger safeguards to protect privacy online.

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AI agent attempts crypto mining during training

An experimental autonomous AI system reportedly attempted to mine cryptocurrency during its training, raising questions about AI behaviour in complex digital environments. The system, ROME, was designed to complete tasks using software tools, environments, and terminal commands.

Researchers noticed unusual activity during reinforcement learning runs, including outbound traffic from training servers and firewall alerts indicating crypto-mining activity. The AI opened a reverse SSH tunnel and redirected GPU resources from training to crypto mining.

The behaviour was not programmed but emerged as the agent explored ways to interact with its environment.

ROME was developed by the ROCK, ROLL, iFlow, and DT research teams within Alibaba’s AI ecosystem as part of the Agentic Learning Ecosystem. The model operates beyond standard chatbot functions, planning tasks, executing commands, and interacting with digital environments across multiple steps.

The incident highlights emerging challenges as AI agents become more popular. Recent projects like Alchemy’s autonomous agents and Sentient’s Arena platform highlight the growing use of AI in digital and crypto workflows.

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EU faces challenges in curbing digital abuse against women

Researchers and policymakers are raising concerns about how new technologies may put women at risk online, despite existing EU rules designed to ensure safer digital spaces.

AI-powered tools and smart devices have been linked to incidents of harassment and the creation of non-consensual sexualised imagery, highlighting gaps in enforcement and compliance.

The European Commission’s Gender Equality 2026–2030 Strategy noted that women are disproportionately targeted by online gender-based violence, including harassment, doxing, and AI-generated deepfakes.

Investigations into tools such as Elon Musk’s Grok AI and Meta’s Ray-Ban smart glasses have drawn attention to how digital platforms and wearable technologies can be misused, even where legal frameworks like the Digital Services Act (DSA) are in place.

Experts emphasise that while the EU’s rules offer a foundation to regulate online content, significant challenges remain. Advocates and lawmakers say enforcement gaps let harmful AI functions like nudification persist.

Commissioners have stressed ongoing cooperation with tech companies and upcoming guidelines to prioritise flagged content from independent organisations to address gender-based cyber violence.

Authorities are also monitoring new technologies closely. In the case of wearable devices, regulators are considering how users and bystanders are informed about recording features.

Ongoing discussions aim to strengthen compliance under existing legislation and ensure that digital spaces become safer and more accountable for all users.

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New AI feature keeps Roblox chat respectful and flowing

Roblox Corporation has unveiled an AI-powered real-time chat rephrasing feature designed to maintain civility while keeping in-game conversations fluid. Previously, messages containing profanity were blocked with hashmarks, disrupting gameplay.

The new system automatically rephrases inappropriate language into more respectful alternatives while preserving the original meaning. Users in the chat are notified when their messages are rephrased, ensuring transparency.

The feature supports in-game chat between age-verified users and all languages via Roblox’s automatic translation. The company consulted its TEEN COUNCIL to design the system, ensuring it reflects how teens naturally communicate.

Earlier experiments with real-time warnings and notifications reduced filtered messages and abuse reports by 5–6%, indicating the approach’s effectiveness.

Roblox is also enhancing its text filters to detect complex attempts to bypass Community Standards, such as leet-speak or symbols. Testing shows a 20-fold reduction in missed cases involving the sharing of personal information, such as social handles or phone numbers.

These upgrades represent a significant step toward safer, more natural in-game chat.

The company plans to continue refining these tools, aiming to minimise disruptions further while promoting civil communication. Users can expect iterative improvements and additional controls in the future to enhance chat safety and overall user experience.

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Oracle launches AI system designed to predict construction safety risks

The US tech company Oracle has introduced a new AI platform to predict safety risks across construction projects.

A system called Advisor for Safety that aims to shift industry practices from reactive incident response to predictive risk prevention.

The AI model was trained using safety information equivalent to more than 10,000 project-years across multiple project types and locations.

By analysing historical patterns, the platform generates weekly forecasts that identify projects statistically most likely to experience safety incidents.

The solution also integrates structured safety observation tools through systems such as Oracle Aconex and Oracle Primavera Unifier, allowing field teams to collect consistent data on mobile devices or web platforms.

These inputs improve predictive accuracy while enabling organisations to track potential hazards earlier in the project lifecycle.

According to Oracle, the system combines data streams ranging from incident reports and payroll records to project schedules and operational metrics.

Early adopters reportedly reduced workplace incidents by up to 50 percent and workers’ compensation costs by as much as 75 percent during the first year of use.

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EU Commission’s new guidance to push Cybersecurity Resilience Act

The EU Commission has opened a public consultation on draft guidance to help companies apply the EU’s Cyber Resilience Act (CRA), a regulation that sets baseline cybersecurity requirements for hardware and software ‘products with digital elements’ to reduce vulnerabilities and improve security throughout a product’s life cycle. The guidance is framed as practical help, especially for microenterprises and SMEs, and the consultation runs until 31 March 2026.

The CRA is designed to make ‘secure by design’ the default for connected products people use every day, from consumer devices to business software, while giving users clearer information about a product’s security properties. In timeline terms, the Act entered into force on 10 December 2024. The incident reporting duties start on 11 September 2026, and the main obligations apply from 11 December 2027, giving industry a runway but also a clear countdown.

What the Commission is trying to nail down now are the parts companies have found hardest to interpret: how the rules apply to remote data processing solutions (cloud-linked features), how they treat free and open-source software, what ‘support periods’ mean in practice (i.e. how long security upkeep is expected), and how the CRA fits alongside other EU laws. In other words, this is less about announcing new rules and more about reducing legal grey zones before enforcement ramps up.

The guidance push also lands amid a broader policy drive, as on 20 January 2026, the Commission proposed a new EU cybersecurity package, built around a revised Cybersecurity Act and targeted NIS2 amendments. The package aims to harden ICT supply chains, including a framework to jointly identify and mitigate risks across 18 critical sectors, and would enable mandatory ‘de-risking’ of EU mobile telecom networks away from high‑risk third‑country suppliers. It also proposes a revamped EU cybersecurity certification system with simpler procedures, giving a default 12‑month timeline to develop certification schemes, while cutting red tape for tens of thousands of firms and strengthening ENISA’s role, including early warnings, ransomware support, and a major budget boost.

Taken together, the EU is moving from strategy documents to operational details, product security on one side (CRA) and ecosystem-level resilience on the other (supply chains, certification, incident reporting and supervision). For companies, that can be both reassuring and demanding: clearer guidance should reduce uncertainty, but the compliance reality may still be layered, especially for businesses spanning devices, software, cloud features, and cross-border operations. The Commission’s stakeholder feedback window is essentially a test of whether these rules can be made workable without diluting their bite.

Why does it matter?

Beyond technical risk, this is increasingly about sovereignty: who sets the rules for digital products, who can be trusted in supply chains, and how much dependency is acceptable in critical infrastructure. Digital governance expert Jovan Kurbalija argues that full ‘stack’ digital sovereignty, that is to say control over infrastructure, services, data, and AI knowledge, is concentrated in very few states, while most countries must balance openness with autonomy. The EU’s current wave of cybersecurity governance fits that pattern: it’s an attempt to turn security standards, certification, and supply-chain choices into a practical form of strategic control, not just to prevent hacks, but to protect democratic institutions, economic competitiveness, and trust in the digital tools people rely on.

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