Users have access to significant amounts of sensitive data. Log analysis is convoluted and located in disparate systems, making it too late to discover intrusion or issues.
Sotero tracks all data stores, monitors for insider threat and keeps records that are easily accessible via data forensics. Advanced machine learning algorithms determine standard usage patterns, and then uses anomaly detection to identify, isolate, and stops insider threats.
Active threat detection blocks access to internal and external threats, simultaneously preventing both risks. Role-based access controls (RBAC) simplify assigning access rights for internal users, while for allowing easy integration with existing infrastructure.