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Cyprus Implements EU-Mandated 15% Tax Rate On Large Multinationals

Cyprus is set to introduce a 15% minimum tax rate for large multinational corporations, in compliance with the EU directive aimed at harmonising tax policies across member states. The move, endorsed by Cyprus’ Finance Minister Makis Keravnos, is expected to generate over €200 million in additional revenue. This decision, while marking a significant shift from the current 12.5% rate, aligns Cyprus with the broader OECD-led initiative to establish a global minimum tax rate. Despite concerns, Keravnos reassured that the change is unlikely to drive multinationals out of the country, as the directive applies EU-wide.

This adjustment reflects a crucial step in Cyprus’ ongoing efforts to maintain competitiveness while adhering to international tax standards. With the proposal now before the Cabinet and soon to be discussed in Parliament, the nation is poised to balance its attractive tax regime with the demands of a globalised economy.

The introduction of this tax rate signals Cyprus’ commitment to international cooperation on tax matters, aiming to prevent profit-shifting practices that have historically allowed large corporations to minimise tax liabilities. For Cyprus, a key hub for multinational firms, this move could redefine its positioning in the global business landscape, ensuring it remains a compliant yet competitive destination for international business.

While the increase may seem minor, the 15% rate represents a broader shift in global tax policy, driven by a collective effort to create a more level playing field for taxation. For Cyprus, traditionally seen as a tax-friendly jurisdiction, this could challenge its status, pushing it to leverage other competitive advantages beyond low tax rates, such as a robust legal framework, strategic location, and skilled workforce. The long-term impact on foreign direct investment will be a critical metric to watch as this policy unfolds.

Anthropic Unveils Advanced Cybersecurity AI Through Project Glasswing

Anthropic has introduced Claude Mythos Preview, an artificial intelligence model designed to identify vulnerabilities in software. The release forms part of the company’s Project Glasswing initiative, focused on strengthening cybersecurity as threats continue to evolve.

Innovative Cyber Capabilities

Claude Mythos Preview identifies complex software flaws that are often difficult to detect using traditional methods. In one case, the model uncovered a 27-year-old vulnerability in OpenBSD, an operating system widely known for its security standards. Access to the model is currently restricted. Anthropic said the limitation is intended to reduce the risk of misuse and ensure the technology is applied in defensive contexts.

Strategic Industry Collaborations

Major technology companies, including Apple, Google, Microsoft, Nvidia and Amazon Web Services, joined as early partners in Project Glasswing. More than 40 additional companies, including CrowdStrike and Palo Alto Networks, are working with Anthropic to integrate the model into their cybersecurity systems.

Balancing Innovation With Caution

Dianne Penn said in a CNBC interview that the launch followed an extensive internal review. The company is also working with U.S. agencies, including the Cybersecurity and Infrastructure Security Agency and the Center for AI Standards and Innovation, to align deployment with safety requirements. Dario Amodei said the company is focused on balancing defensive benefits with potential risks linked to advanced AI systems.

Expanding AI Infrastructure Security

Anthropic has allocated up to $100 million in usage credits for selected partners. The programme is aimed at testing the model across proprietary and open-source systems. Early access is focused on companies managing critical infrastructure, as Anthropic evaluates broader deployment scenarios.

Outlook

Project Glasswing reflects a shift toward AI-driven cybersecurity tools designed to identify vulnerabilities earlier in the development cycle. Adoption will depend on how effectively companies balance improved detection capabilities with the risks associated with advanced AI systems.

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