1. Data Drift: The Silent Killer of Cybersecurity AI Models
Data drift is actively degrading the performance of machine learning models used for critical security tasks like malware detection and network threat analysis. This statistical shift in input data, often undetected, creates a direct vulnerability, allowing models trained on outdated attack patterns to miss today's sop...