The study primarily focuses on the analysis and comparison of intrusion detection techniques in network environments, with the objective of evaluating the impact of Intrusion Detection Systems (IDSs) on data protection. It also aims to understand how these techniques have adapted to emerging threats and evaluate their effectiveness in detecting malicious activities. To achieve this, a systematic review of documents stored in the IEEE Xplore, Redalyc, and ScienceDirect databases between 2019 and 2023 was conducted. The analysis reveals that intrusion detection techniques have evolved significantly to address constantly changing cyber threats. Specifically, machine learning-based techniques and behavior analysis have proven to be effective in reducing false positives. However, to keep up to date with the threats, constant management and updating of these techniques is required. Furthermore...

In the study conducted, a systematic review was carried out to analyze the impact of artificial intelligence (AI) on IT service management in an organization. Several search engines such as SciELO, Scopus, Google Scholar and World Wide Science were used to find relevant papers. The articles found were standardized based on language and year of publication. Based on this review, it was concluded that the incorporating of AI into IT service management has a positive impact on organizations. This is because AI can enhance efficiency, improve the quality of the offered service, reduce costs and facilitate decision-making. However, it was also identified that AI can have negative consequences, such as job losses. The automation of certain tasks can result in the replacement of roles traditionally performed by humans. Additionally, it was mentioned that AI can generate rejection due to its non...