Cloud services, have become one of the main technological trends in information thanks to the great advantages they offer users in the business field. In this regard, a systematic review was carried out using the PRISMA methodology. Documents in the Scopus, SciELO, and Google Scholar databases were analyzed between 2017 and 2022, and inclusion and exclusion criteria were used to select 13 relevant articles from the 65 documents analyzed. The review highlights that Microsoft Azure and AWS are the cloud services that have the greatest tendency to be used by companies due to their ease of use and the facilities offered by companies to obtain credits on their platform and be able to use them. Additionally, these services are also applied in other fields such as medicine, education, accounting, and industry.

Increasing digitization and automation demand advanced and secure methods for access control. This study synthesized artificial intelligence (AI) tools applied in this field, through a literature review in databases such as Scopus, SciELO and IEEE Xplore, using PRISMA and VOSviewer. The bibliometric analysis identified China, India, the United States and South Korea as leaders in research, highlighting terms such as machine learning, deep learning, cryptography and biometrics, along with emerging technologies such as blockchain and IoT. Machine learning and deep learning stood out as predominant techniques, while blockchain brought transparency in the management of sensitive data. However, challenges such as high costs, reliance on big data and privacy concerns limit its implementation. It is recommended to explore hybrid methods, optimize AI models and reduce data dependency to improve ...