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Title:Vloga umetne inteligence pri optimizaciji varnosti v DevSecOps okoljih : magistrsko delo
Authors:ID Grosek, Martin (Author)
ID Beranič, Tina (Mentor) More about this mentor... New window
Files:.pdf MAG_Grosek_Martin_2026.pdf (1,47 MB)
MD5: 7D59E3C0AA19A6821AB2DDD0D389C2AA
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract: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.
Keywords:DevSecOps, umetna inteligenca, CI/CD, varnost programske opreme, zaznavanje ranljivosti.
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Grosek]
Year of publishing:2026
Number of pages:1 spletni vir (1 datoteka PDF (VIII, 83 str.))
PID:20.500.12556/DKUM-97844 New window
UDC:004.8:004.4.056(043.2)
COBISS.SI-ID:282265347 New window
Publication date in DKUM:29.05.2026
Views:178
Downloads:24
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:18.04.2026

Secondary language

Language:English
Title:The role of artificial intelligence in optimizing security in DevSecOps environments
Abstract: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.
Keywords:DevSecOps, artificial intelligence, CI/CD, software security, vulnerability detection.


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