TECHNIQUES FOR CROSS-SOURCE ALERT PRIORITIZATION AND REMEDIATION

Abstract: a system and method for alert prioritization. a method includes applying a prioritization machine learning model with respect to a plurality of second cybersecurity alerts from a plurality of alert sources. the prioritization machine learning model is trained based on a training set to prioritize cybersecurity alerts across the plurality of alert sources. the training set includes a plurality of first cybersecurity alerts from the plurality of alert sources and a plurality of corresponding training prioritizations for the plurality of first cybersecurity alerts. a priority is determined for the plurality of cybersecurity alerts based on outputs of the prioritization model. a plurality of remediation actions is performed based on the determined priority.

Inventor(s): Eshel YARON, Barak BERCOVITZ

CPC Classification: G06F21/554 ({involving event detection and direct action})

Search for rejections for patent application number 20250173434