Compromised User and Host Detection Using Behavioral Analytics

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Presented at DataConnectorsAustin 2019 by

Ron Kent

Studies show that over 80% of advanced attacks are attributed to external actors. Once these cyber criminals capture credentials that provide access to corporate networks, they are virtually undetectable by traditional defenses. During this session, we will discuss a variety of attacks utilizing compromised credentials and the benefits of utilizing behavioral analytics, machine learning and network data to identify and stop these attacks.