Backup Anomaly Detection

Backup Anomaly Detection is the detection of unusual patterns in backup data and backup processes. The aim is to identify deviations that may indicate technical errors, misconfigurations, data corruption or a cyberattack. These include, for example, unexpected changes in data volume, unusual deletion activities or conspicuous changes in backup behavior.

Depending on the platform, fixed rules, statistical methods or learning models are used for this. A detected anomaly is initially an indication and not proof of an attack. It must therefore be assessed in the context of further telemetry, system events and the affected recovery points. Especially in the case of ransomware, early detection can help to narrow down potentially clean backup states more quickly.

Backup anomaly detection complements automated attack detection and IT Security from the backup perspective. Its benefit increases when alerts are integrated into clearly defined analysis, escalation and recovery processes.