Digital cooperation

Enterprise AI security evolves as Cisco expands AI Defense capabilities

Cisco has announced a major update to its AI Defense platform as enterprise AI evolves from chat tools into autonomous agents. The company says AI security priorities are shifting from controlling outputs to protecting complex agent-driven systems.

The update strengthens end-to-end AI supply chain security by scanning third-party models, datasets, and tools used in development workflows. New inventory features help organisations track provenance and governance across AI resources.

Cisco has also expanded algorithmic red teaming through an upgraded AI Validation interface. The system enables adaptive multi-turn testing and aligns security assessments with NIST, MITRE, and OWASP frameworks.

Runtime protections now reflect the growing autonomy of AI agents. Cisco AI Defense inspects agent-to-tool interactions in real time, adding guardrails to prevent data leakage and malicious task execution.

Cisco says the update responds to the rapid operationalisation of AI across enterprises. The company argues that effective AI security now requires continuous visibility, automated testing, and real-time controls that scale with autonomy.

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EMFA guidance sets expectations for Big Tech media protections

The European Commission has issued implementation guidelines for Article 18 of the European Media Freedom Act (EMFA), setting out how large platforms must protect recognised media content through self-declaration mechanisms.

Article 18 has been in effect for 6 months, and the guidance is intended to translate legal duties into operational steps. The European Broadcasting Union welcomed the clarification but warned that major platforms continue to delay compliance, limiting media organisations’ ability to exercise their rights.

The Commission says self-declaration mechanisms should be easy to find and use, with prominent interface features linked to media accounts. Platforms are also encouraged to actively promote the process, make it available in all EU languages, and use standardised questionnaires to reduce friction.

The guidance also recommends allowing multiple accounts in one submission, automated acknowledgements with clear contact points, and the ability to update or withdraw declarations. The aim is to improve transparency and limit unilateral moderation decisions.

The guidelines reinforce the EMFA’s goal of rebalancing power between platforms and media organisations by curbing opaque moderation practices. The impact of EMFA will depend on enforcement and ongoing oversight to ensure platforms implement the measures in good faith.

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AI governance takes focus at UN security dialogue

The UN will mark the fourth International Day for the Prevention of Violent Extremism Conducive to Terrorism on 12 February 2026 with a high-level dialogue focused on AI. The event will examine how emerging technologies are reshaping both prevention strategies and extremist threats.

Organised by the UN Office of Counter-Terrorism in partnership with the Republic of Korea’s UN mission, the dialogue will take place at UN Headquarters in New York. Discussions will bring together policymakers, technology experts, civil society representatives, and youth stakeholders.

A central milestone will be the launch of the first UN Practice Guide on Artificial Intelligence and Preventing and Countering Violent Extremism. The guide offers human rights-based advice on responsible AI use, addressing ethical, governance, and operational risks.

Officials warn that AI-generated content, deepfakes, and algorithmic amplification are accelerating extremist narratives online. Responsibly governed AI tools could enhance early detection, research, and community prevention efforts.

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EU telecom simplification at risk as Digital Networks Act adds extra admin

The ambitions of the EU to streamline telecom rules are facing fresh uncertainty after a Commission document indicated that the Digital Networks Act may create more administrative demands for national regulators instead of easing their workload.

The plan to simplify long-standing procedures risks becoming more complex as officials examine the impact on oversight bodies.

Concerns are growing among telecom authorities and BEREC, which may need to adjust to new reporting duties and heightened scrutiny. The additional requirements could limit regulators’ ability to respond quickly to national needs.

Policymakers hoped the new framework would reduce bureaucracy and modernise the sector. The emerging assessment now suggests that greater coordination at the EU level may introduce extra layers of compliance at a time when regulators seek clarity and flexibility.

The debate has intensified as governments push for faster network deployment and more predictable governance. The prospect of heavier administrative tasks could slow progress rather than deliver the streamlined system originally promised.

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Pakistan pledges major investment in AI by 2030

Pakistan plans to invest $1 billion in AI by 2030, Prime Minister Shehbaz Sharif said at the opening of Indus AI Week in Islamabad. The pledge aims to build a national AI ecosystem in Pakistan.

The government in Pakistan said AI education would expand to schools and universities, including remote regions. Islamabad also plans 1,000 fully funded PhD scholarships in AI to strengthen research capacity in Pakistan.

Shehbaz Sharif said Pakistan would train one million non IT professionals in AI skills by 2030. Islamabad identified agriculture, mining and industry as priority sectors for AI driven productivity gains in Pakistan.

Pakistan approved a National AI Policy in 2025, although implementation has moved slowly. Officials in Islamabad said Indus AI Week marks an early step towards broader adoption of AI across Pakistan.

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Singtel opens largest AI ready data centre in Singapore

Singtel’s data centre arm Nxera has opened its largest data centre in Singapore at Tuas. The facility strengthens Singapore’s role as a regional hub for AI infrastructure.

The Tuas site in Singapore offers 58MW of AI-ready capacity and is described as the country’s highest- power-density data centre. More than 90 per cent of Singapore’s capacity was committed before the official launch.

Nxera said the Singapore facility is hyperconnected through direct access to international and domestic networks. Singapore gains lower latency and improved reliability from integration with a cable landing station.

Singtel said the Tuas development supports rising demand in Singapore for AI, cloud and high performance computing. Nxera plans further expansion in Asia while reinforcing Singapore’s position in digital infrastructure.

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Educators turn to AI despite platform fatigue

Educators in the US are increasingly using AI to address resource shortages, despite growing frustration with fragmented digital platforms. A new survey highlights rising dependence on AI tools across schools and universities in the US.

The study found many educators in the US juggle numerous digital systems that fail to integrate smoothly. Respondents said constant switching between platforms adds to workload pressures and burnout in the US education sector.

AI use in the US is focused on boosting productivity, with educators applying tools to research, writing and administrative tasks. Many also use AI to support student learning as budgets tighten in the US.

Concerns remain in the US around data security, ethics and system overload. Educators said better integration between AI and learning tools could ease strain and improve outcomes in the US classroom.

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New York weighs pause on data centre expansion

Lawmakers in New York have introduced a bill proposing a three year pause on permits for new data centres. Supporters say rapid expansion linked to AI infrastructure risks straining energy systems in New York.

Concerns in New York focus on rising electricity demand and higher household bills as tech companies scale AI operations. Critics across the US argue local communities bear the cost of supporting large scale computing facilities.

The New York proposal has drawn backing from environmental groups and politicians in the US who want time to set stricter rules. US senator Bernie Sanders has also called for a nationwide halt on new data centres.

Officials in New York say the pause would allow stronger policies on grid access and fair cost sharing. The debate reflects wider US tension between economic growth driven by AI and environmental limits.

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Shadow AI becomes a new governance challenge for European organisations

Employees are adopting generative tools at work faster than organisations can approve or secure them, giving rise to what is increasingly described as ‘shadow AI‘. Unlike earlier forms of shadow IT, these tools can transform data, infer sensitive insights, and trigger automated actions beyond established controls.

For European organisations, the issue is no longer whether AI should be used, but how to regain visibility and control without undermining productivity, as shadow AI increasingly appears inside approved platforms, browser extensions, and developer tools, expanding risks beyond data leakage.

Security experts warn that blanket bans often push AI use further underground, reducing transparency and trust. Instead, guidance from EU cybersecurity bodies increasingly promotes responsible enablement through clear policies, staff awareness, and targeted technical controls.

Key mitigation measures include mapping AI use across approved and informal tools, defining safe prompt data, and offering sanctioned alternatives, with logging, least-privilege access, and approval steps becoming essential as AI acts across workflows.

With the EU AI Act introducing clearer accountability across the AI value chain, unmanaged shadow AI is also emerging as a compliance risk. As AI becomes embedded across enterprise software, organisations face growing pressure to make safe use the default rather than the exception.

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Study shows AI-enabled digital stethoscope boosts cardiac screening accuracy

Researchers have found that an AI-enabled digital stethoscope significantly improves the detection of moderate-to-severe valvular heart disease in primary care compared with traditional auscultation. The prospective study was published in the European Heart Journal Digital Health.

In the trial, the AI-assisted device achieved a sensitivity of 92.3 percent for audible valvular disease, more than double the 46.2 percent recorded using standard stethoscopes. The system identified twice as many previously undiagnosed moderate-to-severe cases.

The study involved 357 patients aged 50 and over with cardiovascular risk factors and no known valvular disease. Participants underwent routine clinician examination, along with AI-supported phonocardiogram analysis, with echocardiography used for confirmation.

While specificity was lower for the AI tool, researchers said the technology is intended to support screening rather than replace clinical judgement. Earlier identification could enable faster referral for echocardiography and treatment.

Authors cautioned that increased false positives may raise referral volumes and healthcare costs, highlighting the need for further evaluation. Despite limitations, the findings suggest AI augmentation could strengthen early cardiac screening in primary care settings.

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