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AML Anomaly Detection


AML Anomaly Detection presents CISO with an overall compilation of threats from all the Machine Learning algorithms built into the system, allowing CISO to focus on real threats that matters. AML Anomaly Detection helps CISO draw the line between false positives and critical incidents. Using intelligent threat scoring and collective profiling of entities and users, AML Anomaly Detection identifies risks taking place in the environment right now and presents CISO with visual representation indicating where did the risk originate from as well as where is it heading to.

AML Anomaly Detection allows CISO to compare the current security posture with previous dates to verify if certain threats are persisting across time. This feature helps CISO to identify the riskiest assets and users as well as evaluate the efficiency of other security systems such as firewalls and endpoint security.