Current research highlights how artificial intelligence (AI) affects digital forensics, considering its development in methods, specific im-plementations, and repercussions on the justice system. In addition to its technical effects, emphasis is placed on its influence in reducing legal costs and improving institutional resources. According to the Europol report (2025), the processing of information in the organization of digital evidence has reduced forensic analysis time by up to 70%, representing significant savings in working hours and case backlogs (p. 4). These findings show that AI not only speeds up the identification of patterns and risks but also helps to reduce the financial burden on justice systems(Europol, 2025, March 18).Several studies support these findings. Fakiha (2024) indicates that an orderly and finite set of operations can reduce the time required to examine digit...

The microfinance industry is made up of a group of microfinance institutions (MFIs) whose mission is to offer financial products and services to sectors underserved by traditional banking. These institutions currently face various financial challenges. In this context, the study focused on analyzing the causes and consequences of the microfinance crisis in Peru. The methodology employed is descriptive and explanatory, using documentary analysis. The population and sample consisted of 12 municipal financial institutions. The results showed that, as of April 30, 2024, CMAC Sullana stood out with the largest decline in ROE (-44.83%) and ROA (-5.38%), reflecting a severe crisis. Other microfinance institutions also showed significant losses. It is concluded that the microfinance crisis in Peru is due to poor risk management, high delinquency rates, and limited product diversification, which ...