The Role of Behavioral Machine Learning in Detecting Network Anomalies at Scale
Enterprise networks face a fundamental challenge: traditional signature-based detection methods fail against sophisticated threats that deliberately mimic legitimate traffic patterns. With networks generating terabytes of data daily and attack surfaces expanding through digital transformation, organizations need detection mechanisms that can identify subtle behavioral deviations without relying on known attack signatures.