Data Science as the Foundation for a Cybersecurity Program
This session will focus on all the reasons that we believe data science is fundamental to building a successful and mature cybersecurity program, and what the implications are for cybersecurity professionals. In particular, we’ll discuss two ways to use data science fundamentals in cybersecurity programs:
1. Improve data analytics supporting cybersecurity programs (KPIs, risk management, process effectiveness)
2. Use model-driven security and real-time data streaming to match data attributes to known patterns resulting in deviation scores with a threshold that trigger automated actions in front-line cyber controls in milliseconds
Led by Jim Routh -- Security & Risk Advisor and Board Member and Former Risk Leader at Mass Mutual, Aetna, JP Morgan Chase, KPMG, DTCC, and American Express -- this lecture will be followed by a panel discussion with cybersecurity experts offering their own perspectives and the implications for cybersecurity professionals going forward, as well as the talent development implications of using data science in a cybersecurity program.
We encourage registrants to join our NYU Cybersecurity LinkedIn group to continue the conversation and engage with our NYU cybersecurity community