Abstract
In recent years, the Brazilian federal government has given more attention to cybersecurity, culminating in 2022 in the development of a policy for the management of computer system logs. These logs, generated in large volumes, can be analyzed to identify patterns and understand events, failures, and security breaches. Inadequate analysis of these records hinders detailed investigations in cases of anomalies and cyber crimes due to the amount of data in less user-friendly formats. At the Federal University of the South and Southeast of Pará (Unifesspa), as well as in many public agencies, there is a large volume of logs generated in response to anomalies in ICT systems, which can be used to prevent risks and block dangerous actions in real-time. This work aims to develop a tool that automates log management efficiently, supporting investigations and decision-making in the ICT infrastructure sector. Log analysis techniques have been implemented, allowing the IT team to make decisions quickly and accurately. The results showed that 89.9% of login requests are successful, while authentication errors account for 10.1% of the total, approximately 56,279 records. Detailed data analysis not only helps identify problems but is also essential for mitigating risks and maintaining network security. In the future, there are plans to enhance the application in a dashboard format for better visualization and consultation of the generated data.