AML Anomaly Detection

AML Anomaly Detection presents CISOs with an overall compilation of threats from all the Machine Learning algorithms built into the system, allowing CISOs to focus on real threats that matters. It helps CISOs 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 CISOs with visual representation indicating where did the risk originate from as well as where is it heading to.

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