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dc.contributor.authorRodriguez, Roberto
dc.contributor.authorSyynimaa, Nestori
dc.contributor.editorFilipe, Joaquim
dc.contributor.editorŚmiałek, Michał
dc.contributor.editorBrodsky, Alexander
dc.contributor.editorHammoudi, Slimane
dc.date.accessioned2024-05-22T06:44:02Z
dc.date.available2024-05-22T06:44:02Z
dc.date.issued2024
dc.identifier.citationRodriguez, R., & Syynimaa, N. (2024). Exploring Applicability of LLM-Powered Autonomous Agents to Solve Real-life Problems : Microsoft Entra ID Administration Agent (MEAN). In J. Filipe, M. Śmiałek, A. Brodsky, & S. Hammoudi (Eds.), <i>ICEIS 2024 : Proceedings of the 26th International Conference on Enterprise Information Systems, Volume 1</i> (pp. 881-887). SCITEPRESS - Science and Technology Publications. <a href="https://doi.org/10.5220/0012735700003690" target="_blank">https://doi.org/10.5220/0012735700003690</a>
dc.identifier.otherCONVID_213501318
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/95036
dc.description.abstractMicrosoft Entra ID is Microsoft’s identity and access management solution used by many public and private sector organisations globally. In March 2023, Microsoft retired two PowerShell modules which have enabled automation of administrative tasks, such as user management. The replacement module is based on Microsoft Graph API, and its effective usage would require administrators to learn software development skills. In this paper, we will report the results of work-in-progress research on exploring the applicability of LLM-powered autonomous agents to solve real-life problems. We describe the design and proof-of-concept implementation of MEAN, an agent that performs Entra ID administrative tasks using Microsoft Graph API based on natural language prompts. The results show that LLM-powered autonomous agents can perform at least simple Entra ID administrative tasks. This indicates that the agents could ease the administrative burden by removing the need to learn software development skills.en
dc.format.extent1012
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSCITEPRESS - Science and Technology Publications
dc.relation.ispartofICEIS 2024 : Proceedings of the 26th International Conference on Enterprise Information Systems, Volume 1
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherLLM
dc.subject.otherautonomous agent
dc.subject.otherchatGPT
dc.subject.otherpowershell
dc.subject.otherentra ID
dc.titleExploring Applicability of LLM-Powered Autonomous Agents to Solve Real-life Problems : Microsoft Entra ID Administration Agent (MEAN)
dc.typeconference paper
dc.identifier.urnURN:NBN:fi:jyu-202405223800
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-989-758-692-7
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange881-887
dc.relation.issn2184-4992
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 the Authors
dc.rights.accesslevelopenAccessfi
dc.type.publicationconferenceObject
dc.relation.conferenceInternational Conference on Enterprise Information Systems
dc.subject.ysoälykkäät agentit
dc.subject.ysochattibotit
dc.subject.ysotietoturva
dc.subject.ysoautomaatio
dc.subject.ysotekoäly
dc.subject.ysopääsynvalvonta
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p24489
jyx.subject.urihttp://www.yso.fi/onto/yso/p39028
jyx.subject.urihttp://www.yso.fi/onto/yso/p5479
jyx.subject.urihttp://www.yso.fi/onto/yso/p11477
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
jyx.subject.urihttp://www.yso.fi/onto/yso/p15780
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.5220/0012735700003690
dc.type.okmA4


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