In this workshop, students will learn basics of data science as they apply to analyzing common security-related data. Prediction & forecasting, anomaly detection, interaction graph analysis, and clustering will be demonstrated as tools for incident response, forensics, and planning.
Rob leads Big Data platform architecture for Akamai, building compute, storage, and transport systems processing over an exabyte a year. He is the Chair of the Akamai Center of Excellence in Machine Learning, founder of the BSides Ground Truth track, and author of the Blarpy anomaly detection tool. Additionally, he brings academics to reality as co-editor of the Journal of Big Data. He is also the founder of Red Lambda, and its former CTO.
Alex is a senior security consultant at Rapid7, and former US Cyber Quests champion. He has extensive background in data science applied to security, as well as penetration testing, and fuses them to create advanced methodologies.