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CBC Unveils Strategic Public Tenders For It Security And Cafeteria Operations

New Strategic Procurement Initiatives

The Central Bank of Cyprus (CBC) has issued two pivotal public tenders, reflecting its commitment to enhancing IT security infrastructure and in-house service provision. These initiatives signal a major strategic investment aimed at reinforcing both operational security and facility management at the bank’s headquarters in Nicosia.

Tender For IT Security Services

Under Tender 02/2026, the CBC is seeking vendors to provide IT security services, including system maintenance, management, and 24-hour monitoring through a Security Information and Event Management (SIEM) system.

The contract duration is three years, with an estimated value of €370,000 excluding VAT. The procedure is open and will be awarded to the most economically advantageous offer based on price. Tender documents are available electronically via the CBC website from February 27, 2026 to April 17, 2026.

Submission And Evaluation Process

Interested operators must submit sealed proposals consisting of separate envelopes for participation requirements, technical documentation, and financial offers. Contact details must be sent via email with the subject line “Tender 02/2026 – SIEM,” as specified in the tender documents. Final submissions must be delivered to Office 018 at the CBC headquarters, 80 John Kennedy Avenue, 1076 Nicosia, by April 17, 2026 at 12:00 noon Cyprus time.

Cafeteria Services Tender

In parallel, the CBC has issued a separate tender for the management and operation of its headquarters cafeteria. Unlike the IT security contract, this process will be evaluated solely on qualitative criteria. Tender documents are available through the CBC tender portal from February 27, 2026 to March 20, 2026.

Guidelines For Submission

Operators applying for cafeteria services must email their contact details using the subject line “Tender 5/2026 – Cafeteria.” Proposals, including participation requirements and technical documentation, must be submitted in sealed form to the CBC tender box at the same location by March 20, 2026 at 12:00 noon Cyprus time.

The bank notes that incorrect or incomplete contact information may result in applicants missing clarifications or additional updates.

Conclusion

The two tenders highlight the CBC’s focus on strengthening cybersecurity capabilities while upgrading internal services. The move aligns with broader public-sector efforts to improve efficiency, transparency, and operational reliability.

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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