He Best Practices for Securing the Implementation of Artificial Intelligence in Cloud-Based Environments
DOI:
https://doi.org/10.33936/isrtic.v9i2.7687Keywords:
artificial intelligence, cloud computing, information security, best practices, systematic reviewAbstract
The incorporation of Artificial Intelligence (AI) into Cloud Computing environments has enabled greater levels of scalability, efficiency, and automation in the creation of intelligent systems. However, this convergence has also highlighted new threats and critical challenges in terms of security and privacy. The present article develops a systematic review of scientific literature published between 2021 and 2025, following the PRISMA 2020 methodology, to identify good security practices applied to the deployment of AI projects in cloud computing environments. Twenty-five relevant studies were analyzed, which allowed for the synthesis of a set of recommendations focused on access management, API protection, data encryption, and event auditing. An artificial intelligence prototype incorporating security and data privacy controls was established and finally deployed in a cloud computing environment to validate the applicability of the best practices identified in the systematic review. The results obtained demonstrate the effectiveness of the controls applied, as well as the need to adopt proactive security strategies from the initial phases of AI deployment projects in the cloud.
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Copyright (c) 2025 Yasbeck Jemima Mora Chavez, Reinaldo Benedicto Fernández Gonzalez, Joofre Antonio Honores Tapia, Milton Rafael Valarezo Pardo
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