Self-refining structures in large-language generative AI models for the generation of cybersecurity detection capabilities using machine-based and natural languages
The cybersecurity threat landscape evolves rapidly placing increasing pressure on detectionapproaches that rely on static rules, manually curated signatures, or models trained on fixeddatasets. While modern security environments collect large volumes of telemetry data, theprocesses used to generate and maintain detecti...