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Cysec Orders Extension Of Trading Suspension For Four Listed Companies

Cyprus Securities and Exchange Commission instructed the Cyprus Stock Exchange to extend the trading suspension of four listed companies that failed to meet financial reporting requirements. The measure keeps the companies suspended until they comply with disclosure rules or until June 30, 2026.

Regulatory Oversight And Enforcement

The suspension began on March 2, 2026 and remains in place pending compliance. Failure to submit required periodic financial reports triggered the decision. Cysec enforces disclosure requirements to maintain transparency and orderly market conditions.

Companies Under Scrutiny

Four listed companies are affected: Toxotis Investments Public Ltd, A. Tsokkos Hotels Public Ltd, Dome Investments Public Company Ltd, and Karyes Investments Public Company Ltd.

Toxotis Investments has not published its annual financial report for the year ended December 31, 2023 and has not disclosed subsequent interim or annual results. Meanwhile, the remaining companies have not released their 2024 annual reports or interim results for June 30, 2025. This lack of disclosure limits visibility into their financial position.

Implications For Investors

Lack of financial disclosures places investors at a disadvantage, as access to up-to-date reports is necessary to assess a company’s performance, risks, and market position. Without this information, investment decisions become more uncertain. Ongoing suspension reflects a controlled market environment where investor protection remains a priority and compliance with disclosure rules is required for continued trading.

A Clear Message On Compliance

The extended suspension signals that regulatory requirements on financial reporting are strictly enforced. Listed companies are expected to provide timely and complete disclosures as part of their obligations in the regulated market. Such measures support transparency and are used to maintain confidence in market operations and listed entities.

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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