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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://revis.openscience.si/IzpisGradiva.php?id=12112"><dc:title>The evolving cyber threat landscape</dc:title><dc:creator>Cvetko,	Martin	(Avtor)
	</dc:creator><dc:creator>Bernik,	Igor	(Mentor)
	</dc:creator><dc:creator>Štrucl,	Damjan	(Komentor)
	</dc:creator><dc:subject>cybersecurity</dc:subject><dc:subject>artificial intelligence</dc:subject><dc:subject>cyber threat landscape</dc:subject><dc:subject>legal frameworks</dc:subject><dc:subject>cyber defence</dc:subject><dc:subject>cyber actions</dc:subject><dc:subject>cyber operations</dc:subject><dc:description>This master’s thesis examines the impact of artificial intelligence (AI) on cybersecurity within the evolving cyber threat landscape. It acknowledges that AI shapes the entire security environment, focusing on its use by both attackers and defenders. Employing a mixed-methods approach—including a literature review, survey, and semi-structured interviews with experts from the public and private sectors, internet solution providers (ISP), and defence—the research highlights a clear asymmetry in capabilities, with threat actors showing greater agility in adopting AI-powered tools. It also assesses the effectiveness, risks, and limitations of AI-supported defence. Findings show that while AI enhances detection and automation, it introduces ethical, legal, and technical vulnerabilities. The thesis concludes with concrete recommendations to boost resilience against AI-enabled threats.</dc:description><dc:publisher>M. Cvetko</dc:publisher><dc:date>2025</dc:date><dc:date>2025-09-03 10:10:54</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>12112</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>