Artificial intelligence Archives | Page 3 of 572

AI Cybersecurity stability framework unlocks advanced Non Human Identity management

AI is increasingly positioned as a key driver of cybersecurity stability. By analysing large volumes of data and detecting anomalies in real time, AI helps organisations strengthen defence systems and respond faster to evolving digital threats.

Modern cybersecurity challenges are closely linked to the rise of Non-Human Identities (NHIs), including machine accounts, tokens, and automated credentials. These identities require continuous monitoring and secure lifecycle management to prevent unauthorised access and data breaches.

The integration of AI with NHI management enables a more proactive security approach. AI improves visibility into access permissions and system behaviour, helping organisations reduce risks and maintain stronger control over their digital environments.

Automation powered by AI enhances operational efficiency across cybersecurity processes. Tasks such as credential rotation, access monitoring, and policy enforcement can be automated, allowing security teams to prioritise strategic decision-making.

AI also strengthens threat intelligence capabilities by identifying patterns and predicting potential attacks before they occur. This predictive capacity helps close security gaps, particularly between development, operations, and security teams.

Across sectors such as finance, healthcare, and technology, AI-driven cybersecurity solutions support compliance and data protection requirements. These systems contribute to building resilient infrastructures capable of adapting to increasingly sophisticated cyber threats.

Finally, combining AI capabilities with structured identity management creates a foundation for long-term cybersecurity resilience. Organisations adopting this approach can improve incident response, enhance adaptability, and secure future digital operations.

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Chrome Gemini vulnerability allowed camera and file access

A high-severity vulnerability in Chrome’s integrated Gemini AI assistant exposed users to the potential activation of the camera and microphone, local file access, and phishing attacks. The issue, tracked as CVE-2026-0628, was disclosed by Palo Alto Networks’ Unit 42 and patched by Google in January 2026.

Gemini Live operates as a privileged AI panel embedded within the browser, capable of web page summarisation and task automation. To enable multimodal functionality, the panel is granted elevated permissions, including access to screenshots, local files, and device hardware.

Researchers identified inconsistent handling of the declarativeNetRequest API when gemini.google.com was loaded inside the AI side panel rather than a standard browser tab. While extensions could inject JavaScript in both cases, the panel context inherited browser-level privileges.

A malicious extension exploiting this distinction could hijack the trusted panel and execute arbitrary code with elevated access. Potential impacts included silent activation of a camera or microphone, screenshot capture, local file exfiltration, and high-credibility phishing attacks.

Google released a fix on 5 January 2026 following responsible disclosure. Users running the latest version of Chrome are protected, and organisations are advised to ensure updates are applied across all endpoints.

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Japan embraces AI amid cultural unease and labour pressures

When Hayao Miyazaki dismissed early AI-generated animation as ‘an insult to life itself’ in 2016, the technology felt distant from mainstream creative work. Less than a decade later, generative AI tools produce images and text in seconds, reviving debate over authorship, copyright, and artistic identity.

In Japan, debate reflects both anxiety and ambition. Illustrators question the use of their work in training data, while policymakers and corporations see AI as vital to easing a projected labour shortfall by 2040. Legal provisions allowing data use for analysis have intensified calls for safeguards.

Public sentiment in Japan remains broadly favourable toward AI adoption. Surveys indicate relatively high levels of trust, with many viewing AI as part of long-term structural adjustment rather than an immediate threat. Economic expectations often outweigh concerns about disruption.

Workplace implementation, however, remains limited. OECD research shows only a small share of employees actively use AI tools, citing skills shortages and cautious corporate culture. Analysts describe a paradox: AI could ease labour pressures, yet adoption is constrained by limited expertise.

Creative professionals report more immediate effects. Surveys highlight income pressures and uncertainty among illustrators and freelancers. As deployment expands, Japan faces the task of balancing economic necessity with cultural preservation and fair access to emerging technologies.

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SharePoint strengthens Microsoft 365 Copilot with enterprise knowledge

Twenty-five years after its launch, SharePoint has grown into one of Microsoft’s largest collaboration platforms, serving more than one billion users annually. The service now underpins vast volumes of enterprise content, with billions of files and millions of sites created each day.

Microsoft positions the platform as a foundational knowledge layer for Microsoft 365 Copilot. As the primary grounding source for Copilot, it contributes to the Work IQ intelligence layer, enabling AI tools to operate within an organisational context.

New agentic capabilities allow teams to build solutions using natural language prompts within governed Microsoft 365 environments. Custom AI skills package organisational standards, terminology, and business logic, helping ensure outputs align with internal policies and workflows.

AI-driven publishing features are now embedded across its web authoring tools. Organisations can plan, refine, and distribute content at scale while maintaining governance controls and consistent communication standards.

Content stored in SharePoint also powers semantic indexing and retrieval systems that support contextual discovery across Microsoft 365 applications. Microsoft says these capabilities enable more proactive knowledge surfacing and strengthen Copilot’s ability to deliver grounded responses.

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New public guidance launched to promote responsible AI use in Thailand

Thailand has published a draft public guidance document to help citizens use AI safely and responsibly. The ‘AI Guide for Citizens’ outlines key AI concepts, benefits, limitations, and practical examples for users engaging with generative AI tools.

Data safety is a central focus, with officials warning against entering personal identifiers, financial data, confidential information, or government secrets into public AI platforms.

The guide also details technical risks such as AI’ hallucinations,’ prompt injection, and data poisoning, advising users to verify outputs and treat AI as a support tool rather than a decision maker.

The guidance addresses ethical and legal responsibilities, warning against using AI to generate misinformation, deepfakes, or harmful content. It emphasises fairness and bias, noting AI systems can inherit human prejudices from training data.

Citizens encountering AI-related scams or harmful content are advised to collect evidence, report incidents to cybercrime authorities, and contact Thailand’s personal data protection agency if privacy is compromised.

The draft aligns Thailand’s AI policies with national rules and international standards, including ISO governance principles and the EU AI Act. The initiative aims to boost AI literacy and safeguards as AI becomes more integrated into daily life.

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X rolls out Paid Partnership labels to boost creator transparency

The social media platform, X, has introduced a new ‘Paid Partnership’ label that creators can attach to posts to show when content is promotional instead of leaving audiences unsure about commercial intent.

An update that improves transparency for followers while meeting rules set by the Federal Trade Commission, which expects sponsored material to be disclosed clearly.

Creators previously relied on hashtags such as #ad or #paidpartnership instead of an integrated disclosure option. The new feature allows users to apply the label through a content-disclosure toggle either during posting or afterwards.

X’s product lead, Nikita Bier, said undisclosed promotions damage trust and weaken the platform’s integrity, so the tool is meant to support creators and regulators simultaneously.

X has been trying to build a stronger creator ecosystem by offering payouts, subscriptions and other incentives. Yet many creators still favour Instagram or YouTube over X as their primary channel, because those platforms have longer-standing monetisation tools.

The addition of a built-in label aligns X with broader industry practice and aims to regain credibility among advertisers and creators.

The company has also tightened API access, preventing programmatic replies unless a user is directly mentioned or quoted.

A change that seeks to limit LLM-generated spam instead of allowing automated responses to distort discussions or appear as fake engagement beneath sponsored content.

X hopes these combined measures will enhance authenticity around commercial posts.

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Non-human identities gain importance in cloud and AI security

As organisations expand across cloud environments, non-human identities are becoming a critical component of modern cybersecurity strategies. Managing machine identities and their associated secrets is increasingly central to reducing risk and improving AI-driven threat detection.

As digital infrastructure grows, machine identities function as secure access credentials for applications, services, and automated processes. Effective governance can reduce vulnerabilities, improve compliance, and streamline operations across sectors such as finance and healthcare.

Integrating non-human identities into AI security frameworks enables more contextual anomaly detection and improved visibility into network behaviour. Rather than relying solely on static scanning, organisations can adopt adaptive models that enhance predictive threat response.

Challenges remain, particularly around coordination between security, DevOps, and research teams. Gaps in collaboration and limited awareness of identity lifecycle management can create blind spots that weaken overall cyber resilience.

Automation is increasingly seen as essential for scaling non-human identity management. By automating secrets rotation, certificate renewal, and access reviews, organisations can strengthen governance while enabling security teams to focus on higher-value strategic priorities.

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Samsung advances AI RAN with NVIDIA breakthrough

The South Korean electronics company, Samsung, has completed a multi-cell test that brings its virtualised RAN software together with accelerated computing from NVIDIA.

A validation that took place in a realistic network environment confirms that the combined architecture is nearing commercial readiness as AI-native networks continue to evolve.

The company plans to highlight the achievement at Mobile World Congress 2026 as part of its broader push toward software-driven networks that use AI instead of fixed hardware optimisation.

Samsung will demonstrate an AI-based MIMO beamformer running on NVIDIA infrastructure, which offers operators higher throughput and improved spectral efficiency by extracting more value from existing spectrum.

NVIDIA and Samsung are also advancing a unified processor design that integrates CPU and GPU within a single chipset, enabling faster and more efficient data exchange.

Recently, Samsung integrated its vRAN software with the NVIDIA ARC Compact platform equipped with the Grace CPU and L4 GPU, taking another step toward commercial AI-RAN deployments.

The firm says that experience from large-scale vRAN rollouts and close collaboration with industry computing partners strengthens its position in delivering AI-powered network platforms for operators worldwide.

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Ericsson completes first pre-standard 6G OTA session in US

Ericsson has completed the world’s first pre-standard 6G over-the-air session in the United States, marking a milestone toward commercial 6G networks. The trial took place in Plano, Texas, using a pre-standard system built on an AI-native, cloud-based architecture.

The demonstration validated core 6G building blocks, including radio hardware, RAN Compute, software-defined air interfaces and cloud platforms. Ericsson said its software architecture is deployable across CPU and GPU hardware environments.

The trial used spectrum in the 7GHz range with 400 MHz carrier bandwidth and focused on uplink performance, energy efficiency and spectral utilisation. The system included Ericsson radios, baseband platforms and cloud-native software.

According to the company, the test demonstrated capabilities to support AI-driven applications, such as robotics, that require real-time control and high-quality video streaming. Future 6G networks are expected to deliver consistent low latency and enhanced uplink capacity for advanced AI services.

Ericsson said the milestone strengthens US participation in global standards development, including 3GPP and Open RAN. The company plans to expand trials across additional spectrum bands while building on its US research and manufacturing footprint.

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Deutsche Telekom and Nokia advance open and AI-native RAN

Nokia and Deutsche Telekom have expanded their collaboration to advance cloud-based, disaggregated, and AI-native RAN technologies. The strengthened Innovation Cooperation Program deepens joint work in Cloud RAN, open interfaces, and next-generation solutions.

The partnership builds on years of cooperation focused on open and flexible architectures. Both companies said the expanded effort aims to improve network efficiency, programmability, and long-term operational value for service providers.

Work on Open Fronthaul integration is being intensified following earlier multivendor deployments in Germany linking Nokia baseband units with O-RAN-compliant radios. Additional integrations covering Open Fronthaul and Cloud RAN are progressing within confidential development programmes.

The companies are also advancing O-RAN-aligned management capabilities through open O1 interfaces and deeper integration of configuration management. A vendor-independent Service Management and Orchestration platform remains central to Deutsche Telekom’s multivendor RAN strategy.

Nokia will act as Deutsche Telekom’s strategic co-creation partner for AI-native RAN development. Joint efforts will focus on AI-powered receivers, adaptive beamforming, predictive optimisation, and lab and field validation to support intelligent, autonomous mobile networks.

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