Cybersecurity with Data Science and Artificial Intelligence (Zero Trust Case)
Oswaldo Díaz, Mirna Muñoz, Jezreel Mejía · 2024
The project is aimed at training an algorithm to identify behavior patterns in access logs requested by computers over the internet to web technology services, using a strategy to reduce cybersecurity risks through analysis and science of large volumes of “Fast Data” with the help of intelligent computational models “SLM & LLM” based on best practices “Zero Trust” and CI/CD Pipeline (MLops & DevSecOps).