EAB video series # 4 (out of 6)
Hear cyber security leaders talk about importance of behavior and predictive security analytics.
Behavior and predictive security analytics is seen as a secret sauce which allows organization to use identity, access and activity to uncover insider threats or cyber fraud. User behavior analytics leveraging machine learning can be applied in many scenarios including the detection of comprised or hijacked accounts, insider threats, advanced attacks and anomalous behaviors. The root of modern day threats is often the compromise or misuse of identities, surfacing the issue of how identities are managed and monitored for abuse.
Gurucul’s Risk Analytics (GRA) is a leader in user behavior analytics data science to surface unknown risks and threats using identity as a threat plane.