How Machine Learning is Leveraged for Attack Detection Scenarios - Seguridad Mania.com - España y América Latina

Machine Learning (ML) is used to identify abnormal behavior and pinpoint malicious behavior. This webinar will show you how Gurucul uses adaptive and static ML models to identify two different MITRE attack stages: Lateral movement (T1110) and Valid/Default Account (T1078/001). In our demonstration, we'll run a basic model and identify an 'outlier' use case. During the webinar we'll address the following: • How ML models are used • How ML minimizes false positives • Why you can't rely on security alerts alone • Advantages of combining ML with security alerts Bring your questions!