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Cypriot Capital Markets Authority Unveils New DORA Fee Structure for Financial Entities

Overview

The Cypriot Capital Markets Authority has issued a new policy statement—DP-03-2025—detailing the fee structure applicable to financial entities governed by the Digital Operational Resilience Act (DORA). This announcement marks a significant regulatory update aimed at enhancing operational resilience while reducing the sector’s dependency on public funding.

Fee Structure and Adjustments

Under the new framework, the annual supervisory fee is set to range between €2,000 and €20,000 based on the size and scale of each entity. Additionally, a fixed evaluation fee of €20,000 has been established for Threat-Led Penetration Testing (TLPT). These fees have been refined following a public consultation process (ED-01-2025), resulting in notable reductions for very small and small enterprises as well as adjustments in the TLPT fee structure.

Compliance and Transitional Payment Process

For the year 2025, financial entities subject to DORA are required to submit a category declaration between October 2 and October 31, providing detailed information on employee numbers, turnover, and balance sheet metrics. Entities must also remit the annual fee by December 31, 2025, with the amount being calculated pro rata for the period from August 15 to December 31.

Enhancing Institutional Independence and Market Integrity

Dr. George Theocharidis, President of the Capital Markets Authority, emphasized that the DORA regulation extends its impact beyond traditional supervision, necessitating a robust funding model to meet increasing regulatory obligations. The adjustment aligns with DORA’s proportionality criteria and supports the Ministry of Finance’s objective to reduce the Authority’s reliance on state funding. This move not only bolsters the independence of the regulatory body but also reinforces market integrity.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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