Drift-Aware Continual Generative Behavioral Detection for Zero-Day Cyberattacks: Reproducible Temporal Evaluation and SIEM-Ready Alerting
Zero-day cyberattacks remain difficult to detect because their behavioral characteristics are not represented in the data available during model training. In addition, intrusion detection models operating in dynamic environments are vulnerable to concept drift, while continual-learning approaches may suffer from catast...