Addressing Cyberthreats: Exploring the Intersection of AI and Cybersecurity Frameworks in the EU

Sammanfattning

The complexity and frequency of cyberthreats continue to escalate as IT systems become increasingly central to our society. This thesis explores the role of human expertise along with AI technologies in improving cybersecurity frameworks within the EU. By integrating AI, organisations can improve threat detection and response times and navigate the evolving landscape of digital threats more effectively. AI does not only present numerous opportunities, but also challenges and risks. This complexity partly stems from the broad and varied definitions of AI, which encompass a diverse range of technologies, processes, and actors. This research employed a qualitative approach, combining a comprehensive literature review with interviews and insights from industry professionals, EU agents, and Swedish authorities. The findings underscore the critical need for policy frameworks that adapt to technological advancements and highlight the dual-use nature of AI in cybersecurity, which presents both opportunities and challenges. The study offers insights into practical applications of AI in cybersecurity, recommending strategic approaches for EU organisations to harness AI's potential while mitigating associated risks. Future research directions are suggested to address the rapid pace of AI development and its implications for cybersecurity strategies.