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Authors: Roberto Rodriguez 1 and Nestori Syynimaa 2 ; 1

Affiliations: 1 Microsoft Security Research (MSecR), U.S.A. ; 2 Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland

Keyword(s): LLM, Autonomous Agent, ChatGPT, Powershell, Entra ID.

Abstract: Microsoft 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 sk ills. (More)

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Paper citation in several formats:
Rodriguez, R. and Syynimaa, N. (2024). Exploring Applicability of LLM-Powered Autonomous Agents to Solve Real-life Problems: Microsoft Entra ID Administration Agent (MEAN). In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7; ISSN 2184-4992, SciTePress, pages 881-887. DOI: 10.5220/0012735700003690

@conference{iceis24,
author={Roberto Rodriguez. and Nestori Syynimaa.},
title={Exploring Applicability of LLM-Powered Autonomous Agents to Solve Real-life Problems: Microsoft Entra ID Administration Agent (MEAN)},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={881-887},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012735700003690},
isbn={978-989-758-692-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Exploring Applicability of LLM-Powered Autonomous Agents to Solve Real-life Problems: Microsoft Entra ID Administration Agent (MEAN)
SN - 978-989-758-692-7
IS - 2184-4992
AU - Rodriguez, R.
AU - Syynimaa, N.
PY - 2024
SP - 881
EP - 887
DO - 10.5220/0012735700003690
PB - SciTePress

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