EU sets new rules for cloud sovereignty framework

The European Commission has launched its Cloud Sovereignty Framework to assess the independence of cloud services. The initiative defines clear criteria and scoring methods for evaluating how providers meet EU sovereignty standards.

Under the framework, the Sovereign European Assurance Level, or SEAL, will rank services by compliance. Assessments cover strategic, legal, operational, and technological aspects, aiming to strengthen data security and reduce reliance on foreign systems.

Officials say the framework will guide both public authorities and private companies in choosing secure cloud options. It also supports the EU’s broader goal of achieving technological autonomy and protecting sensitive information.

The Commission’s move follows growing concern over extra-EU data transfers and third-country surveillance. Industry observers view it as a significant step toward Europe’s ambition for trusted, sovereign digital infrastructure.

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EU states split over children’s social media rules

European leaders remain divided over how to restrict children’s use of social media platforms. While most governments agree stronger protections are needed, there is no consensus on enforcement or age limits.

Twenty-five EU countries, joined by Norway and Iceland, recently signed a declaration supporting tougher child protection rules online. The plan calls for a digital age of majority, potentially restricting under-15s or under-16s from joining social platforms.

France and Denmark back full bans for children below 15, while others, prefer verified parental consent. Some nations argue parents should retain primary responsibility, with the state setting only basic safeguards.

Brussels faces pressure to propose EU-wide legislation, but several capitals insist decisions should stay national. Estonia and Belgium declined to sign the declaration, warning that new bans risk overreach and calling instead for digital education.

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YouTube launches likeness detection to protect creators from AI misuse

YouTube has expanded its AI safeguards with a new likeness detection system that identifies AI-generated videos imitating creators’ faces or voices. The tool is now available to eligible members of the YouTube Partner Program after a limited pilot phase.

Creators can review detected videos and request their removal under YouTube’s privacy rules or submit copyright claims.

YouTube said the feature aims to protect users from having their image used to promote products or spread misinformation without consent.

The onboarding process requires identity verification through a short selfie video and photo ID. Creators can opt out at any time, with scanning ending within a day of deactivation.

YouTube has backed recent legislative efforts, such as the NO FAKES Act in the US, which targets deceptive AI replicas. The move highlights growing industry concern over deepfake misuse and the protection of digital identity.

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Meta strengthens protection for older adults against online scams

The US giant, Meta, has intensified its campaign against online scams targeting older adults, marking Cybersecurity Awareness Month with new safety tools and global partnerships.

Additionally, Meta said it had detected and disrupted nearly eight million fraudulent accounts on Facebook and Instagram since January, many linked to organised scam centres operating across Asia and the Middle East.

The social media giant is joining the National Elder Fraud Coordination Center in the US, alongside partners including Google, Microsoft and Walmart, to strengthen investigations into large-scale fraud operations.

It is also collaborating with law enforcement and research groups such as Graphika to identify scams involving fake customer service pages, fraudulent financial recovery services and deceptive home renovation schemes.

Meta continues to roll out product updates to improve online safety. WhatsApp now warns users when they share screens with unknown contacts, while Messenger is testing AI-powered scam detection that alerts users to suspicious messages.

Across Facebook, Instagram and WhatsApp, users can activate passkeys and complete a Security Checkup to reinforce account protection.

The company has also partnered with organisations worldwide to raise scam awareness among older adults, from digital literacy workshops in Bangkok to influencer-led safety campaigns across Europe and India.

These efforts form part of Meta’s ongoing drive to protect users through a mix of education, advanced technology and cross-industry cooperation.

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Nexos.ai raises €30 m to ease enterprise AI adoption

The European startup Nexos.ai, headquartered in Vilnius, Lithuania, has closed a €30 million Series A funding round, co-led by Index Ventures and Evantic Capital, valuing the company at about €300 million (~US $350 million).

Founded by the duo behind cybersecurity unicorn Nord Security (Tomas Okmanas and Eimantas Sabaliauskas), Nexos.ai aims to solve what they describe as the ‘enterprise AI adoption crisis’. In their view, many organisations struggle with governance, cost control, fragmentation and security risks when using large-language models (LLMs).

Nexos.ai’s platform comprises two main components: an AI Workspace for employees and an AI Gateway for developers.

The Gateway offers orchestration across 200+ models, unified access, guardrails, cost monitoring and compliance oversight. The Workspace enables staff to work across formats, compare models and collaborate in a secure interface.

The company’s positioning as a neutral intermediary, likened to ‘Switzerland for LLMs’, underscores its mission to allow enterprises to gain productivity with AI without giving up data control or security.

The new funds will be used to extend support for private model deployment, expand into regulated sectors (finance, public institutions), grow across Europe and North America, and deepen product capabilities in routing, model fallback, and observability.

It’s an illustration of how investors are backing infrastructure plays in the enterprise-AI space: not just building new models, but creating the scaffolding for how organisations adopt, govern and deploy them safely.

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OpenAI strengthens controls after Bryan Cranston deepfake incident

Bryan Cranston is grateful that OpenAI tightened safeguards on its video platform Sora 2. The Breaking Bad actor raised concerns after users generated videos using his voice and image without permission.

Reports surfaced earlier this month showing Sora 2 users creating deepfakes of Cranston and other public figures. Several Hollywood agencies criticised OpenAI for requiring individuals to opt out of replication instead of opting in.

Major talent agencies, including UTA and CAA, co-signed a joint statement with OpenAI and industry unions. They pledged to collaborate on ethical standards for AI-generated media and ensure artists can decide how they are represented.

The incident underscores growing tension between entertainment professionals and AI developers. As generative video tools evolve, performers and studios are demanding clear boundaries around consent and digital replication.

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Judge bars NSO Group from using spyware to target WhatsApp in landmark ruling

A US federal judge has permanently barred NSO Group, a commercial spyware company, from targeting WhatsApp and, in the same ruling, cut damages owed to Meta from $168 million to $4 million.

The decision by Judge Phyllis Hamilton of the Northern District of California stems from NSO’s 2019 hack of WhatsApp, when the company’s Pegasus spyware targeted 1,400 users through a zero-click exploit. The injunction bans NSO from accessing or assisting access to WhatsApp’s systems, a restriction the firm previously warned could threaten its business model.

An NSO spokesperson said the order ‘will not apply to NSO’s customers, who will continue using the company’s technology to help protect public safety,’ but declined to clarify how that interpretation aligns with the court’s wording. By contrast, Will Cathcart, head of WhatsApp, stated on X that the decision ‘bans spyware maker NSO from ever targeting WhatsApp and our global users again.’

Pegasus has allegedly been used against journalists, activists, and dissidents worldwide. The ruling sets an important precedent for US companies whose platforms have been compromised by commercial surveillance firms.

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ChatGPT to exit WhatsApp after Meta policy change

OpenAI says ChatGPT will leave WhatsApp on 15 January 2026 after Meta’s new rules banning general-purpose AI chatbots on the platform. ChatGPT will remain available on iOS, Android, and the web, the company said.

Users are urged to link their WhatsApp number to a ChatGPT account to preserve history, as WhatsApp doesn’t support chat exports. OpenAI will also let users unlink their phone numbers after linking.

Until now, users could message ChatGPT on WhatsApp to ask questions, search the web, generate images, or talk to the assistant. Similar third-party bots offered comparable features.

Meta quietly updated WhatsApp’s business API to prohibit AI providers from accessing or using it, directly or indirectly. The change effectively forces ChatGPT, Perplexity, Luzia, Poke, and others to shut down their WhatsApp bots.

The move highlights platform risk for AI assistants and shifts demand toward native apps and web. Businesses relying on WhatsApp AI automations will need alternatives that comply with Meta’s policies.

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AWS outage turned a mundane DNS slip into global chaos

Cloudflare’s boss summed up the mood after Monday’s chaos, relieved his firm wasn’t to blame as outages rippled across more than 1,000 companies. Snapchat, Reddit, Roblox, Fortnite, banks, and government portals faltered together, exposing how much of the web leans on Amazon Web Services.

AWS is the backbone for a vast slice of the internet, renting compute, storage, and databases so firms avoid running their own stacks. However, a mundane Domain Name System error in its Northern Virginia region scrambled routing, leaving services online yet unreachable as traffic lost its map.

Engineers call it a classic failure mode: ‘It’s always DNS.’ Misconfigurations, maintenance slips, or server faults can cascade quickly across shared platforms. AWS says teams moved to mitigate, but the episode showed how a small mistake at scale becomes a global headache in minutes.

Experts warned of concentration risk: when one hyperscaler stumbles, many fall. Yet few true alternatives exist at AWS’s scale beyond Microsoft Azure and Google Cloud, with smaller rivals from IBM to Alibaba, and fledgling European plays, far behind.

Calls for UKEU cloud sovereignty are growing, but timelines and costs are steep. Monday’s outage is a reminder that resilience needs multi-region and multi-cloud designs, tested failovers, and clear incident comms, not just faith in a single provider.

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AI is transforming patient care and medical visits

AI is increasingly shaping the patient experience, from digital intake forms to AI-powered ambient scribes in exam rooms. Stanford experts explain that while these tools can streamline processes, patients should remain aware of how their data is collected, stored, and used.

De-identified information may still be shared for research, marketing, or AI training, raising privacy considerations.

AI is also transforming treatment planning. Platforms like Atropos Health allow doctors to query hundreds of millions of records, generating real-world evidence to inform faster and more effective care.

Patients may benefit from data-driven treatment decisions, but human oversight remains essential to ensure accuracy and safety.

Outside the clinic, AI is being integrated into health apps and devices. From mental health support to disease detection, these tools offer convenience and early insights. Experts warn that stronger evaluation and regulation are needed to confirm their reliability and effectiveness.

Patients are encouraged to ask providers about data storage, third-party access, and real-time recording during visits. While AI promises to improve healthcare, realistic expectations are vital, and individuals should actively monitor how their personal health information is used.

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