20.500.12556/DKUM-97844 Vloga umetne inteligence pri optimizaciji varnosti v DevSecOps okoljih magistrsko delo The role of artificial intelligence in optimizing security in DevSecOps environments V magistrskem delu smo obravnavali povezavo med DevSecOps in umetno inteligenco (UI). Cilj dela je bil ugotoviti, kateri izzivi se pojavljajo ob uvedbi DevSecOps, kako se le-ti spreminjajo ob vključitvi UI ter kako se UI-podprta orodja izkažejo v praksi. Pregled literature in študija primera sta pokazala, da umetna inteligenca izboljšuje razlago varnostnih ugotovitev, podpira triažo, predlaga popravke ter omogoča spremljanje sistema med njegovim delovanjem. Rezultati so pokazali, da je uporabnost umetne inteligence odvisna od kakovosti podatkov, stopnje integracije v razvojni potek dela, razpoložljivega konteksta in vključitve človeka v končno presojo rezultatov. Glavna naloga UI je torej podpora in ne nadomestitev obstoječih varnostnih praks. In this master’s thesis, we examined the relationship between DevSecOps and artificial intelligence (AI). The aim of the thesis was to identify the main challenges that arise when implementing DevSecOps, to determine how these challenges change with the introduction of AI, and to assess how AI-supported tools perform in practice. The literature review and case study showed that artificial intelligence can improve the explanation of security findings, support triage, suggest remediation actions, and enable system monitoring during operation. The results indicate that the usefulness of AI depends on the quality of data, the level of integration into the development workflow, the availability of relevant context, and the involvement of humans in the final assessment of results. Therefore, the main role of AI is to support existing security practices rather than replace them. DevSecOps umetna inteligenca CI/CD varnost programske opreme zaznavanje ranljivosti. DevSecOps artificial intelligence CI/CD software security vulnerability detection. true true false [M. Grosek] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2026-04-18 18:23:38 2026-05-29 13:05:03 2026-06-20 03:06:40 0000-00-00 00:00:00 2026 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (VIII, 83 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:004.4.056(043.2) 282265347 MAG_Grosek_Martin_2026.pdf MAG_Grosek_Martin_2026.pdf 1 7D59E3C0AA19A6821AB2DDD0D389C2AA 4a55a27c5e4892ec2a15fbcb5ebf66bffd1792f96435d63002326b7851392087 9b3775da-3b43-11f1-8e7a-00155d0001a1 https://dk.um.si/Dokument.php?lang=slv&id=205429 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0