Elevando la resiliencia cibernética en universidades: ai para la detección proactiva de amenazas

Higher education institutions face increasing cybersecurity challenges due to the rise of cyber threats. In this context, artificial intelligence (AI) has become a key tool for detecting and preventing intrusions. However, its implementation in university environments still presents various barriers. This study aimed to analyze the implementation of AI systems for intrusion detection and their impact on the cyber resilience of universities. To achieve this, surveys were conducted with 200 students and semi-structured interviews with 10 faculty members of the Higher Polytechnic School of Chimborazo (ESPOCH). The surveys assessed the level of knowledge about cybersecurity, the perception of using AI in threat detection, and the feasibility of its implementation. The interviews explored challenges, opportunities, and limitations in this process. The results showed a positive perception of the integration of AI in university cybersecurity, with high acceptance from both students and faculty. Nevertheless, challenges such as the lack of technological infrastructure, the need for training, and concerns about data privacy were identified. Despite these barriers, the majority of participants considered its implementation feasible in the medium term, provided that investment in resources and specialized training is ensured.