SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

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Contact UsSaaS applications have been exploding in popularity due to their ease of deployment, use, and maintenance. Security teams are struggling to keep pace with the growing list of applications used in their environment as well as with the process of tracking the data these applications hold. Attackers have been taking advantage of these visibility gaps and have targeted SaaS applications regularly. By using log data from the applications themselves, security teams can use anomaly detection techniques to find and respond to such attacks. Anomaly detection allows security teams to more quickly identify and remedy a data breach by condensing large amounts of data into a shortened list of events that are outliers. The detection techniques used can help security teams respond to or prevent the next data breach.