DYNAMO and the EU AI Act: Balancing Innovation and Regulation
DOI:
https://doi.org/10.34190/iccws.20.1.3307Keywords:
European Union,, AI requirements,, DYNAMO, Regulatory framework,, Data recoveryAbstract
This work-in-progress paper examines the impact of the European Union’s Artificial Intelligence Act (EU AI Act) on the EU-funded cybersecurity project DYNAMO, which integrates Business Continuity Management (BCM) and Cyber Threat Intelligence (CTI) to enhance the resilience of critical sectors such as healthcare, transportation, and energy. The research analyses the requirements and implications of the EU AI Act on the DYNAMO platform, aiming to provide key insights for policymakers, and industry professionals, and the main goal is to facilitate informed decision-making and promote the ethical development of artificial intelligence in the EU. To achieve this, the ALTAI tool (Assessment List for Trustworthy Artificial Intelligence) can be used to ensure compliance with ethical principles in the DYNAMO project. The study addresses the research question: How does the EU AI Act affect the development, deployment, and operational efficiency of AI-driven cybersecurity solutions in the DYNAMO project? Through a comprehensive literature review and secondary research, the paper examines the regulatory environment focusing on data governance, algorithmic transparency, accountability, and ethical considerations. Results indicate that while the EU AI Act imposes stringent requirements on high-risk AI systems, such as those used by DYNAMO, it also offers opportunities for responsible innovation. As highlighted by the study, continuous collaboration and dialogue among stakeholders are crucial to navigating the evolving regulatory landscape. The findings underscore the need for robust cybersecurity strategies to comply with regulatory standards and enhance the security and resilience of critical infrastructures.
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Copyright (c) 2025 Ilkka Tikanmäki, Jyri Rajamäki, Elina Johnston, Jan Salenius, Jenna Teräväinen, Petri Tuovila, Peik Feiring, Maria Sissonen, André Winberg, Krishia Ybañez

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.