Data Science for Cyber Risk

Presented by
Scott Mongeau, Data Scientist, Cybersecurity, SAS Netherland

June 22, 2017 10:00-11:00 am EDT / 3:00-4:00 BST / 4:00-5:00 CST


Cyber threat actors exploit increasingly interconnected networks to infiltrate infrastructure and compromise digital assets. While prolific networks and digitization drive interactivity, thereby opening new opportunities for collaboration, open channels also increase the scope and scale of potential cyber risks. Beyond compromised intellectual property and regulatory strictures, reputational damage can result in customer and partner attrition, as well as credit and equity losses.

Risk management and cyber security professionals struggle to manage unknown unknowns, both unseen vulnerabilities and the threat of complex, evolving cyberattacks. As a result, data and system stewards are burdened with a persistent unease that their network has already been compromised.  In order to stay a step ahead of potential intruders, data science brings powerful tools and methods with which to reclaim the informational advantage. Data science empowers the discovery of hidden patterns and the detection of evolving threats. Forward-thinking risk and cyber professionals therefore need to understand the basics of cyber data science: the virtuous cycle of data-driven discovery and detection.


   About the Presenter:

Scott Mongeau, an INFORMS Certified Analytics Professional, is a Data Scientist in the Cybersecurity group at SAS Institute. Scott has more than 20 years of data analytics experience in a range of industries, including financial services, insurance, management consulting, IT, bio-pharma, materials, law enforcement, and start-ups. Scott is a PhD (ABD) researcher on analytics model management at Nyenrode Business University. He holds an MBA and Masters in Financial Management from Erasmus Rotterdam School of Management. He also has a Master in Communication Technology (MA) from the University of Texas at Austin and a Graduate Degree (GD) in Applied Information Systems Management from the Royal Melbourne Institute of Technology (RMIT).

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June 22nd, 2017 10:00 AM   through   11:00 AM
Virtual Training,
United States

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