EU unveils AI cybersecurity Action Plan

The European Commission has published an Action Plan to address the cybersecurity risks and opportunities created by advanced AI models. Released on 7 July 2026, the initiative sets out a coordinated approach to strengthening Europe’s cyber resilience as AI capabilities continue to advance.

The Action Plan brings together member states, industry and EU institutions to coordinate responses to AI-related cybersecurity challenges. Rather than introducing new legislation, it builds on the EU’s existing regulatory framework while adapting it to risks posed by increasingly capable AI systems.

The Commission says the plan will strengthen defences against vulnerabilities that AI systems may introduce or exploit. It also promotes closer cooperation between public and private stakeholders, reflecting the view that AI governance and cybersecurity must increasingly be treated as interconnected policy areas.

The Action Plan forms part of the EU’s broader strategy to strengthen digital resilience while maintaining technological competitiveness. Its implementation will depend on cooperation between governments, regulators, businesses and cybersecurity organisations across the Union.

Why does it matter?

The Action Plan reflects growing recognition that advanced AI models are changing the cybersecurity landscape by strengthening defensive capabilities while also creating new opportunities for attackers. As AI systems become more capable and autonomous, policymakers are increasingly treating AI safety and cybersecurity as part of the same strategic challenge.

The initiative also reinforces the EU’s broader digital sovereignty agenda. Rather than creating separate policies for AI and cybersecurity, the Commission is integrating the two into a common governance framework. That approach could influence how organisations deploy AI in critical sectors and provide a model for other jurisdictions developing AI cybersecurity strategies.

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Google rolls out AI video editing in Google Photos

Google is rolling out Google Photos Video Remix for Google Photos, a new AI-powered editing feature that transforms videos using ready-made templates and generative effects.

Powered by Gemini Omni, Google’s multimodal AI model, the feature is designed to help users create stylised video clips without professional editing skills or dedicated video software.

Available through the Create tab in Google Photos, Video Remix lets users apply effects such as cinematic relighting, background changes and artistic styles including watercolour, raw sketchbook and oil painting.

Google says users can, for example, make a video appear as though it was filmed in a greenhouse, add a morning glow to a dark clip, or transform footage into a watercolour-style animation.

The launch forms part of Google’s broader effort to integrate generative AI across its consumer products. In Google Photos, the company has also introduced AI-powered editing tools and features that generate outfit ideas from photos of clothing.

Video Remix is rolling out to eligible Google AI Plus, Pro and Ultra subscribers in selected countries, including the United States, Argentina, Brazil, India, Japan, Mexico, South Korea and Türkiye.

Why does it matter?

Video Remix reflects how generative AI video editing is becoming a mainstream consumer feature rather than a specialist capability. By embedding AI-powered creative tools directly into Google Photos, Google is lowering the barrier to producing stylised video content while further integrating generative AI into everyday digital experiences.

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OpenAI launches GPT-Live-1 for ChatGPT Voice

OpenAI has launched GPT-Live-1, introducing a new voice experience in ChatGPT designed to make conversations feel more natural and responsive. The company is rolling out GPT-Live-1 for paid users and GPT-Live-1 mini for Free users.

The new models can listen and speak simultaneously, allowing users to interrupt, pause or continue speaking while ChatGPT responds. OpenAI says this improves turn-taking and makes voice interactions feel closer to a natural conversation.

GPT-Live-1 works within a standard ChatGPT conversation, with spoken responses appearing alongside streamed text. The model can also use web search and memory, display visual results through supported widgets, and work with text and images where those features are available.

OpenAI says GPT-Live is rolling out globally on ChatGPT.com and the ChatGPT iOS and Android apps. GPT-Live-1 will become the default voice model for Go, Plus and Pro users, while GPT-Live-1 mini will serve as the default for Free users.

At launch, GPT-Live is not available in ChatGPT Business, Enterprise or Edu workspaces. It also does not currently support video or screen sharing, although eligible users can continue using those features through Advanced Voice Mode where available.

OpenAI says GPT-Live-1 can hand more complex tasks to other models, such as GPT-5.5, when they require search, advanced reasoning or more agentic capabilities. The company also plans to make GPT-Live available through its API in the future.

Why does it matter?

GPT-Live-1 reflects OpenAI’s broader effort to make voice a core interface for interacting with AI rather than a separate feature. By combining real-time speech, streamed text, search, memory and visual results within a single conversation, the company is moving towards more seamless multimodal assistants capable of supporting everyday tasks, research and longer, more natural interactions.

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UK Treasury highlights economic value of cyber resilience

HM Treasury has published a report arguing that cyber resilience in financial services should be treated as a strategic capability rather than simply a compliance requirement or technical cost.

The report, The Value of Resilience: Cyber Resilience in Financial Services, brings together evidence on the economic and operational value of resilience, focusing on the growing impact of cyber disruption across the financial sector.

The report argues that cyber risk has intensified as financial institutions become more dependent on digital infrastructure, third-party providers, cloud services and shared technologies. It cites the Bank of England’s 2026 H1 Systemic Risk Survey, in which 82% of UK banks, insurers and asset managers identified cyberattacks as one of the financial system’s a top five risks.

HM Treasury also cites National Cyber Security Centre data showing a sharp rise in nationally significant cyber incidents during 2024–25. Highly significant incidents increased by 50% year on year, while nearly half of all incidents handled by the NCSC met the threshold for national significance.

The financial impact can be considerable. KPMG Cyber Risk Insights modelling cited in the report estimates plausible worst-case annual ransomware losses of more than £230 million for mid-sized financial firms and around £466 million for large institutions, illustrating how average loss estimates can underestimate severe but plausible cyber events.

Beyond direct financial losses, the report links major cyber incidents to operational disruption, reputational damage, lost revenue and reduced investor confidence, noting that affected firms may underperform the market for a year or longer.

At the same time, HM Treasury argues that stronger cyber resilience can reduce both the likelihood and impact of disruption through earlier detection, faster containment, more effective escalation procedures, recovery planning, service prioritisation and fallback arrangements.

The report also presents resilience as a driver of growth rather than simply a defensive measure. Citing Accenture research, it argues that highly resilient organisations generate faster revenue growth, achieve stronger profit margins and are better positioned to modernise systems, adopt AI and pursue digital transformation without disruption undermining progress.

Why does it matter?

The report reframes cyber resilience as a source of competitive advantage rather than simply a risk management function. For financial institutions, stronger resilience is presented not only as a way to protect customers and market confidence, but also as an enabler of AI adoption, digital transformation and long-term business performance.

The findings also reflect a broader shift in cyber policy. As financial services become increasingly dependent on cloud infrastructure, AI and interconnected digital ecosystems, regulators are treating operational resilience as a strategic capability that underpins both financial stability and economic growth.

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Japan reviews AI search use of news content

Japan’s Fair Trade Commission has launched a review of how generative AI search services use news content, examining concerns over unauthorised use of articles and compensation for publishers. The survey will gather information from around 370 domestic news organisations, including newspapers, publishers, broadcasters and news agencies.

The review will also include discussions with major technology companies, including Google and LY Corp. Regulators want to understand how AI-powered search services access, display and potentially monetise news content produced by publishers.

A key focus is the growth of zero-click searches, where users receive AI-generated summaries without visiting the original publisher’s website. News organisations argue that the trend could reduce traffic, advertising revenue and incentives to invest in professional journalism.

The Commission will assess whether any practices breach Japan’s Antimonopoly Act, including through the abuse of a dominant market position. Its findings could shape future policies on AI content use, publisher compensation and competition in digital media markets.

Why does it matter?

Generative AI search is reshaping how people discover news by increasingly providing answers directly within search results. While this may improve convenience for users, it also raises concerns that publishers could lose traffic, advertising revenue and the economic incentives needed to sustain quality journalism.

Japan’s review reflects a broader international debate over how AI companies should use and compensate for news content. The outcome could influence future competition policy, licensing arrangements and the relationship between AI-powered search services and media organisations.

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European Parliament updates Digital Agenda for Europe factsheet

The European Parliament has updated its factsheet on the Digital Agenda for Europe, outlining how the EU’s digital policy has shifted from setting strategic goals to implementing rules on platforms, data, digital identity, AI and cybersecurity.

The factsheet says digital platforms and emerging technologies continue to reshape how Europeans work, communicate, shop and learn. Since 2024, the EU has focused on implementing legislation designed to strengthen digital security, promote fair competition and support digital sovereignty alongside the green transition.

The updated overview of the Digital Agenda for Europe situates current policy within a longer trajectory, from the 2010 Digital Agenda and the 2015 Digital Single Market strategy to the 2030 Digital Compass and the Digital Decade framework. Together, these initiatives set targets for digital skills, public services, business transformation and resilient digital infrastructure.

The document highlights several core policy areas. On data, it points to the EU’s framework built around the GDPR, the Data Governance Act and the Data Act. On AI, it notes that the AI Act has been in force since August 2024, with its provisions applying in stages under the oversight of the EU AI Office.

The factsheet also identified the Digital Services Act (DSA) and Digital Markets Act (DMA) as key pillars of the EU’s digital single market. It notes that the DSA has applied in full since February 2024, while DMA enforcement intensified in 2025 with the first fines imposed on designated gatekeepers.

Cybersecurity is another major focus. The document highlights the expanded scope of the NIS2 Directive, the Cyber Resilience Act, which entered into force in December 2024, and the Cyber Solidarity Act, aimed at strengthening EU-wide cyber detection and incident response.

The update also highlights digital identity, interoperability, platform work, media freedom, digital education and infrastructure resilience as continuing priorities within the EU’s broader digital policy agenda.

Why does it matter?

The update illustrates how the EU’s digital strategy has entered a new phase focused on implementation rather than legislation. With most of its major digital laws now in force, attention is shifting from adopting new rules to enforcing them consistently across member states and ensuring they deliver tangible results.

That shift is significant because the success of the EU’s digital agenda will increasingly be judged by its practical impact on competition, cybersecurity, AI governance, digital sovereignty and the functioning of the single market, rather than by the number of new regulatory initiatives.

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ILO urges skills investment as AI reshapes ASEAN workforce

The International Labour Organization (ILO) has published a report examining how generative AI (GenAI) is reshaping labour markets across the Association of Southeast Asian Nations (ASEAN).

The study estimates that nearly 80 million workers, representing 22.9% of total employment in the region, work in occupations with more than minimal potential exposure to GenAI. However, the ILO stresses that there is currently no evidence of large-scale job displacement.

Only 3.3% of ASEAN workers, around 11.7 million people, are employed in occupations with the highest level of GenAI exposure, while roughly two-thirds of employment remains in occupations with no identified exposure.

Employment in highly exposed occupations has continued to grow, suggesting that AI is transforming work rather than replacing jobs at scale. The report also notes that adoption remains concentrated in technology-intensive sectors and is still relatively limited in many administrative occupations despite their high exposure.

The report identifies significant differences across ASEAN economies. Singapore has the highest share of workers with more than minimal GenAI exposure at 42.2%, followed by the Philippines (28.1%), Indonesia (21.7%), Vietnam (20.8%), and Thailand (20.6%).

The ILO also highlights a notable gender gap, with women more than twice as likely as men to work in highly exposed occupations because they are more heavily represented in clerical, administrative and professional roles. By contrast, exposure levels are broadly similar across younger and older working-age groups.

To maximise the benefits of AI while limiting potential risks, the ILO calls for human-centred AI governance, expanded upskilling and reskilling programmes, stronger support for micro, small and medium-sized enterprises (MSMEs), and closer regional cooperation on skills development.

The report argues that future labour market outcomes will depend less on AI exposure itself than on policy choices that strengthen the preparedness and resilience of workers, businesses and institutions.

Why does it matter?

The report challenges the assumption that generative AI will rapidly eliminate large numbers of jobs across Southeast Asia. Instead, it suggests AI is more likely to reshape existing occupations, with the scale of change depending on how quickly workers, businesses and governments adapt.

The findings also highlight that AI adoption is ultimately a policy challenge as much as a technological one. Investments in skills, workforce transitions and responsible AI governance will play a decisive role in determining whether AI improves productivity and job quality or widens existing inequalities across the region.

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UN explores how AI can scale human rights implementation

Digital tools and AI can help governments turn thousands of human rights recommendations into concrete action, but only if technology remains firmly guided by human expertise and institutional cooperation, speakers concluded during a WSIS Forum 2026 session on scaling digital tools for human rights monitoring.

The discussion brought together representatives from Costa Rica, the Office of the UN High Commissioner for Human Rights (OHCHR), academia, and civil society to examine how digital platforms, AI-assisted analysis, and improved data management can enhance the implementation of recommendations issued by UN human rights mechanisms.

Costa Rica shares experience with recommendation tracking

Opening the discussion, Domenico Zipoli, Head of Programmes at the Geneva Human Rights Hub, noted that governments receive thousands of recommendations every year from treaty bodies, the Universal Periodic Review (UPR), special procedures, and regional mechanisms, making implementation increasingly difficult without digital support.

Costa Rica’s Roberto Cespedes, Chargé d’Affaires at the country’s mission to the UN in Geneva, explained how the National Recommendations Tracking Database (NRTD) has transformed the country’s follow-up process.

Costa Rica established its National Mechanism for Implementation, Reporting and Follow-up (NMIRF) in 2011, bringing together ministries, parliament, the judiciary, and the national human rights institution. However, for years, the mechanism lacked an effective technological platform capable of managing recommendations from multiple international processes.

‘The database has significantly improved visibility of recommendations across institutions,’ Cespedes said.

He highlighted the tool’s ability to cluster recommendations by topic, enabling ministries to identify shared responsibilities and collaborate more effectively. Rather than working in isolation, institutions increasingly recognise the need for coordinated implementation.

Costa Rica is also working to expand access beyond government. Cespedes said civil society organisations are expected to gain direct access to the platform, allowing them to monitor implementation, provide feedback, and strengthen transparency.

OHCHR: AI can assist, but humans remain indispensable

Presenting the UN perspective, Marie Eve Boyer, Human Rights Officer at OHCHR, explained that the NRTD was developed to address the fragmentation of international human rights recommendations.

Built on the Universal Human Rights Index, the platform enables governments to consolidate recommendations, assign responsibilities across ministries, monitor progress, and prepare reports more efficiently.

Boyer noted that 20 countries are already using the NRTD, while another 40 are waiting for deployment.

She argued that AI has significant potential to support implementation by identifying relevant information, clustering recommendations, highlighting data gaps, and scaling reporting processes. However, she stressed that technology cannot replace human judgement.

‘AI can help process information, but it cannot understand the reality experienced by communities,’ she said, adding that contextual expertise remains essential when assessing whether recommendations have genuinely been implemented.

She also warned against viewing digital tools as substitutes for strong institutions, arguing that successful implementation depends on sustained human engagement alongside technological innovation.

Generative AI opens new possibilities for legal experts

Offering an academic perspective, Lukasz Szoszkiewicz, Assistant Professor at Adam Mickiewicz University in Poznań, demonstrated several prototype tools built using natural language processing and generative AI.

His projects include searchable databases of UN treaty body jurisprudence, analytical dashboards for the Universal Human Rights Index, and paragraph-level search tools for European Court of Human Rights decisions.

Szoszkiewicz argued that generative AI is fundamentally changing software development by enabling lawyers, researchers, and other domain experts to build specialised digital tools themselves rather than relying solely on IT teams.

‘Domain experts now have the possibility to develop tools that match exactly what they need,’ he explained.

He also addressed concerns about AI hallucinations, recommending that large language models be used primarily to generate deterministic software code rather than directly analysing sensitive datasets. This approach, he said, produces more reliable and verifiable results while reducing the likelihood of inaccurate outputs.

Better data still needed to measure real-world outcomes

Audience interventions highlighted persistent challenges surrounding data availability and measuring whether human rights recommendations actually improve people’s lives.

Representatives from civil society organisations working on torture prevention and disability rights pointed to the difficulty of obtaining reliable outcome data, particularly in countries where governments do not systematically publish relevant information.

Responding to these concerns, Boyer said OHCHR is exploring minimum datasets that could help governments monitor implementation more consistently while aligning human rights indicators with the Sustainable Development Goals.

Cespedes added that AI could eventually help governments identify positive actions that officials may not even realise correspond to international recommendations, making implementation more visible and easier to document.

Throughout the session, speakers agreed that AI and digital platforms should be viewed as tools to strengthen human rights implementation rather than replace human oversight. They concluded that meaningful progress will depend on better data, stronger institutional cooperation, and continued collaboration between governments, international organisations, academia, and civil society.

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Universal acceptance key to multilingual internet, UNESCO and ICANN say

The internet cannot be truly inclusive until every valid domain name and email address works regardless of language or script, speakers said during a WSIS Forum 2026 session marking the launch of UNESCO and ICANN’s joint policy brief on universal acceptance (UA). The discussion brought together representatives from UNESCO, ICANN, and the Organisation Internationale de la Francophonie (OIF), who argued that multilingual internet infrastructure has become increasingly important not only for digital inclusion but also for the future development of AI.

While internationalised domain names (IDNs) and multilingual email addresses have long been supported by global technical standards, implementation remains far from complete. Speakers stressed that closing this gap now requires stronger political commitment, procurement policies, and coordinated action from governments, industry, academia, and civil society.

Technical standards exist, but implementation lags

Opening the session, UNESCO’s Guilherme Canela argued that multilingualism is about much more than preserving languages, it is about enabling full participation in digital society.

‘A multilingual internet expands access to information, education, services, innovation, and opportunity,’ he said, noting that many websites and online services still fail to recognise or process domain names and email addresses written in local languages and scripts.

ICANN’s Theresa Swinehart echoed that message, describing universal acceptance as a practical challenge that can be solved rather than a technological limitation. She highlighted ICANN’s work on multilingual internet infrastructure, including the delegation of more than 150 internationalised top-level domains covering 37 languages and 23 scripts, alongside efforts to improve compatibility across software platforms and open-source projects.

Dr Sarmad Hussain, Senior Director for IDN and UA Programmes at ICANN, illustrated the scale of the remaining challenge with new data. A survey of around 1,000 websites across 20 countries found that, on average, only 12% accepted email addresses written in local languages. Meanwhile, fewer than 30% of the world’s email servers currently support internationalised email addresses.

‘The technology and standards already exist,’ Hussain explained. ‘The problem is that many applications and websites have simply not been updated to support them.’

UNESCO–ICANN policy brief offers roadmap

A central focus of the session was the launch of the joint UNESCO–ICANN policy brief Advancing Universal Acceptance of All Domain Names and Email Addresses for Multilingual Internet.

Presenting the document, UNESCO’s Xianhong Hu argued that achieving universal acceptance requires much more than technical upgrades. The policy brief identifies gaps in awareness, policy, capacity development, and implementation, while providing tailored recommendations for governments, international organisations, civil society, academia, technical communities, and language communities.

Hu also stressed that multilingual internet infrastructure has become increasingly important in the AI era.

‘Without universal acceptance, AI systems learn from a narrower and less representative digital environment,’ she said, warning that languages excluded from today’s internet infrastructure risk remaining underrepresented in tomorrow’s AI models.

The brief also introduces measurement frameworks that governments and organisations can use to monitor progress. UNESCO plans to integrate UA into the sixth monitoring cycle of its Recommendation on the Promotion and Use of Multilingualism, with national reports due in 2027.

Multilingual internet increasingly linked to AI governance

Several speakers argued that universal acceptance should no longer be viewed as a niche technical issue but as part of broader AI governance discussions.

Henri Monceau of the Organisation Internationale de la Francophonie said multilingual internet infrastructure directly influences which languages become visible in AI training datasets.

‘The richer and more linguistically diverse the internet becomes, the richer and more representative AI systems can become,’ he said, warning that languages marginalised online today may also be marginalised in future AI applications.

Speakers therefore called for governments to include universal acceptance in national digital transformation and AI strategies, alongside procurement requirements that encourage software developers to build multilingual support from the outset.

ICANN also highlighted its growing capacity-building efforts, including more than 200 UA Day events organised across 86 countries in 42 languages, reaching over 29,000 participants. The organisation is also working with universities in Bahrain, Mexico, India, Zimbabwe, Bolivia, and other countries to integrate universal acceptance into computer science curricula so future software developers build multilingual support by default.

End users and local communities remain central

Audience questions focused on ensuring that end users, not only technical communities, remain at the centre of universal acceptance efforts, as well as whether growing interest in AI sovereignty could conflict with broader multilingual accessibility.

Responding to these concerns, Canela argued that locally developed AI models and universal acceptance should reinforce rather than compete with one another. Smaller language models designed for specific communities, he said, can strengthen both linguistic diversity and digital inclusion while requiring fewer computing resources.

Panellists agreed that the success of universal acceptance ultimately depends on collaboration across governments, industry, academia, civil society, and local language communities. They concluded that making every valid domain name and email address work equally across the internet is no longer simply a technical objective, but a prerequisite for a multilingual, inclusive, and AI-ready digital future.

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SpaceXAI launches Grok 4.5 for coding and agentic tasks

SpaceXAI has introduced Grok 4.5, its latest model for coding, agentic tasks and knowledge work.

The company describes Grok 4.5 as its most capable model to date, trained for real-world engineering, software development, science and mathematics tasks.

According to SpaceXAI, the model was trained across tens of thousands of NVIDIA GB300 GPUs, using data filtering, curation and reinforcement learning focused on multi-step technical work.

The company says Grok 4.5 can complete complex coding tasks and build functional applications from a single prompt.

Beyond software development, Grok 4.5 is designed to support knowledge-work tasks in Grok Build, including Excel modelling, PowerPoint slide design and Word document drafting.

SpaceXAI said the model serves up to 80 tokens per second and offers greater token efficiency than comparable leading models on selected tasks.

Grok 4.5 is available through Grok Build, Cursor and the SpaceXAI console. It is priced at $2 per million input tokens and $6 per million output tokens.

The company said Grok 4.5 is not yet available in the EU through its products or API console, with the EU availability expected in mid-July.

Why does it matter?

Grok 4.5 shows how frontier AI competition is moving towards practical agentic work, not only general chatbot performance. Coding, spreadsheet modelling, document creation and application-building are becoming key battlegrounds for AI providers targeting enterprise and professional users. The model’s pricing and claimed token efficiency also show growing pressure on AI companies to compete on cost and speed as much as benchmark performance.

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