2026-04-27T21:40:46Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/741622025-01-21T20:03:30Zcom_10324_1165com_10324_931com_10324_894col_10324_1335
UVaDOC
author
Vegas Hernández, Jesús María
author
Llamas Bello, César
2025-01-21T10:19:08Z
2025-01-21T10:19:08Z
2024
Future Internet, Diciembre 2024, vol. 16, n. 12.
1999-5903
https://uvadoc.uva.es/handle/10324/74162
10.3390/fi16120469
469
12
Future Internet
16
1999-5903
The integration of artificial intelligence(AI) technologies into identity and access management (IAM) systems has greatly improved access control and management, offering more robust, adaptive, and intelligent solutions than traditional methods. AI-driven IAM systems enhance security, operational efficiency, and introduce new capabilities in industrial environments. In this narrative review, we present the state-of-the-art AI technologies in industrial IAM, focusing on methods such as biometric, comprising facial and voice recognition, and multifactor authentication for robust security. It addresses the challenges and solutions in implementing AI-based IAM systems in industrial settings, including security, privacy, evaluation, and continuous improvement. We present also the emerging trends and future directions, highlighting AI’s potential to transform industrial security measures. This review aims to guide researchers and practitioners in developing and implementing next-generation access control systems, proposing future research directions to address challenges and optimize AI applications in this domain.
eng
Atribución-NoComercial-CompartirIgual 4.0 Internacional
Opportunities and Challenges of Artificial Intelligence Applied to Identity and Access Management in Industrial Environments
info:eu-repo/semantics/article
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URL
https://uvadoc.uva.es/bitstream/10324/74162/1/futureinternet-16-00469-with-cover.pdf
File
MD5
ae29b07aa1c493194c5eda50a0376e70
368567
application/pdf
futureinternet-16-00469-with-cover.pdf