Cybersecurity Archives | Page 2 of 339 | Digital Watch Observatory

Free plan users can now transfer data to Claude

Anthropic has enhanced its Claude AI chatbot to make switching from other platforms easier. Users on the free plan can now activate Claude’s memory feature, which allows them to import data from other AI platforms using a new dedicated tool.

The update ensures that users don’t have to start over when transferring context and history from competitors like OpenAI’s ChatGPT or Google’s Gemini.

The memory import option, first introduced in October for paid subscribers, now appears under ‘settings’ → ‘capabilities’ for all users. The tool lets users copy a prompt from their previous AI and paste the output into Claude, seamlessly transferring past interactions.

The recent popularity of Claude has been driven by tools such as Claude Code and Claude Cowork, as well as the launch of the Opus 4.6 and Sonnet 4.6 models. Upgrades enhance Claude’s coding, spreadsheet, and complex task capabilities, boosting its appeal to new users.

Anthropic’s visibility has also increased amid debates with the Pentagon, as the company refuses to loosen AI safeguards for military use, drawing ‘red lines’ around mass surveillance and autonomous weapons.

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Chrome unveils 3-phase quantum-resistant HTTPS upgrade with Merkle Tree Certificates

Google has outlined a plan to strengthen Chrome’s HTTPS security against future quantum-computing threats. Rather than expanding traditional X.509 certificate chains in Chrome with post-quantum cryptography, the company is developing a new model based on Merkle Tree Certificates (MTCs).

The proposal from the PLANTS working group seeks to modernise the web public key infrastructure. Under the MTC model, a Certification Authority signs a single ‘Tree Head’ covering many certificates. Browsers receive a lightweight proof instead of a full certificate chain.

Google said this structure reduces authentication data exchanged during TLS handshakes while supporting post-quantum algorithms. By decoupling cryptographic strength from certificate size, the approach seeks to preserve performance as stronger security standards are adopted.

The company is already testing MTCs with real internet traffic. Phase one involves feasibility studies with Cloudflare, while phase two, in early 2027, will invite selected Certificate Transparency log operators to support initial public deployment.

By the third quarter of 2027, Google plans to establish requirements for onboarding certificate authorities to the quantum-resistant Chrome Root Store, which exclusively supports MTCs. The company described the initiative as foundational to maintaining long-term web security resilience.

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Vietnam AI Law establishes comprehensive risk based governance framework

Vietnam’s Law on Artificial Intelligence has entered into force, establishing the first dedicated AI legal framework in Southeast Asia. The law centralises oversight and replaces earlier AI provisions in the 2025 Law on Digital Technology Industry.

The framework closely mirrors the AI Act adopted by the European Union. It promotes accountability, transparency, and safety in response to risks such as misinformation, copyright infringement, and deepfakes.

At the same time, Vietnam places a stronger emphasis on digital sovereignty and domestic AI capacity. While remaining open to international integration, the law prioritises national strategic interests.

The legislation introduces a tiered risk classification system. AI systems considered to pose unacceptable risks, including threats to national security or human dignity, are banned, while low-risk applications such as spam filters face lighter obligations.

The Vietnam Ministry of Science and Technology will lead implementation. A national AI database will support monitoring and registration, and a dedicated AI development fund will invest in data centres and research capacity as part of Vietnam’s broader technology strategy.

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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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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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Europe pressed to slow digital age-verification push amid privacy fears

Hundreds of academics urged governments to halt plans for mandatory age checks on social media, rather than accelerating deployment without assessing the risks.

The warning arrives as several European states consider restrictions on children’s access to online platforms and as companies promote verification tools such as live selfies or uploads of government-issued IDs.

Researchers argue that current systems expose people to privacy breaches, security vulnerabilities and malicious sites that ignore verification rules instead of offering meaningful protection.

They say scientific consensus has not yet formed on the benefits or harms of age-assurance technologies, making large-scale implementation premature and potentially discriminatory.

The letter stresses that any credible system would require cryptographic safeguards for every query, protecting data in transit rather than leaving identity checks to platforms without robust technical guarantees.

Academics believe such infrastructure would be complex to build globally and would create friction that many providers may refuse to adopt.

Concern escalated after early deployments in Italy and France, where verification is already mandatory.

Signatories, including Ronald Rivest and Bart Preneel, warn that governments risk introducing a socially unacceptable system that increases exposure to data misuse instead of ensuring children’s safety online.

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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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