RT info:eu-repo/semantics/article
T1 Opportunities and Challenges of Artificial Intelligence Applied to Identity and Access Management in Industrial Environments
A1 Vegas Hernández, Jesús María
A1 Llamas Bello, César
K1 identity and access management
K1 artificial intelligence
K1 industrial environments
AB 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.
PB MDPI
SN 1999-5903
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/74162
UL https://uvadoc.uva.es/handle/10324/74162
LA eng
NO Future Internet, Diciembre 2024, vol. 16, n. 12.
NO Producción Científica
DS UVaDOC
RD 05-feb-2025