Software Engineering Institute

Machine Learning is the latest trend in the Cyber Security detection methodologies. Rapidly increasing versatile threat actors used in attack campaigns are making it extremely difficult for SIEM administrators to create and maintain effective static threat correlation rules. Machine Learning and threat hunting through Advanced Statistical Analytic should now be used by the enterprise SOC analysts in order to perform their routine operational intelligence. This research paper allows SOC individuals to understand how to use machine learning algorithms optimally in order to complement existing conventional threat hunting capabilities.