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AI and Cybersecurity: Addressing risks and opportunities through the ARISA project

AI Explained Project News

As artificial intelligence (AI) continues to transform industries, its adoption into various sectors brings new cybersecurity challenges. The ARISA project, dedicated to enhancing AI skills across Europe, recognises this critical intersection. Cybersecurity is integrated into the project’s curricula, equipping participants not only with AI expertise but also with the vital knowledge to mitigate security risks posed by AI advancements.

“Cybersecurity is a key element of the ARISA curricula, designed to equip participants across roles, including decision-makers, policymakers, and AI professionals, with the skills needed to tackle the growing security challenges posed by AI,” explains Xander Lub, Professor at Utrecht University of Applied Sciences, partner of the ARISA project.

The increasing integration of AI into business operations and governance systems heightens the risks of cyber threats, including data breaches and manipulation of AI models. At HU University of Applied Sciences Utrecht, where the ARISA learning courses “Organisational Decision-Maker” and “Policymaker” are being piloted, these issues are addressed head-on. Participants not only learn the fundamentals of AI but are also trained to strategically manage AI-related vulnerabilities. Through a combination of lectures and case studies, these pilot programmes ensure that leaders understand how to align cybersecurity strategies with broader organisational goals while navigating the complex risks introduced by AI. “The curriculum is a response to the rapidly evolving landscape of AI-driven security challenges,” adds Xander Lub.

On the other hand, AI can also be used to strengthen cybersecurity. Dr Andrew Tuson, a Teacher and Researcher at Warsaw School of Computer Science, another academic partner of the ARISA project, highlights the dual nature of the relationship between AI and cybersecurity: “AI and cybersecurity are both hot topics – they are also strongly linked. While AI systems, particularly generative AI, have opened up new avenues for cyber threats—such as deepfakes and attacks aimed at leaking sensitive information—they also offer solutions. Advances in machine learning are now being utilised to enhance cybersecurity tools, from malware detection to network security systems that identify intrusions.“

Andrew Tuson emphasises that maintaining strong cybersecurity practices is critical, especially as new AI-related threats emerge. Reflecting on ARISA’s recent workshop, Unlocking AI: Strategic Leadership in the Era of Artificial Intelligence, he points out a key takeaway for organisations: “If there is one point for organisations to remember, it is that good cybersecurity is good AI cybersecurity. If organisations have a proactive and disciplined approach to cybersecurity, then the threats coming from AI can be managed.”

Looking ahead, ARISA will continue to address these issues through its upcoming online platform, where AI and cybersecurity will be part of the course offerings. The ARISA project aims to empower a new generation of AI professionals and decision-makers with the skills to navigate both the benefits and risks of AI in the cybersecurity domain. As AI systems become more integral to both public and private sectors, the ability to foresee, understand, and mitigate AI-driven cybersecurity risks will be a defining factor in successful and secure digital transformation across Europe.

 

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