After completing this course, risk professionals will be able to identify and improve existing data-driven risk management programs and improve communication with decision making stakeholders. Budding risk analysts will get a solid education in the most overlooked and misunderstood elements of data-driven risk management. The course culminates in a brief introduction to modeling risk using Python notebooks — source code included.
Applications: Supply Chain Risk, Cyber Risk, Medical & Health Risk, Insurance, and Business Risk.
Risk Analysis - Part One
Introduces the world class instructor, the basic tools of risk management, and the macro-scale problems risk practitioners face. Topics include:
The Risk Formula as a wireframe for risk modeling as well as commonly encountered variations of the formula.
Risk Scenarios and Risk Registers as basic organizational and data capture techniques.
Time is an implied and often overlooked element of risk analysis.
Data Types and Data Origin which are the foundation of data interpretation.
Confidence and Certainty that characterize overlooked issues with accuracy and precision.
And finally,
Risk Resolution is introduced to explain and communicate the problem of risk sprawl.
Risk Analysis - Part Two
Covers more advanced fundamentals, such as:
Risk vs. Expected Loss
Expected vs. Actual Loss
Data Types and Data Sources - Understand and interpret data.
Heat Maps
It also introduces risk modeling in Python and a walk though of the course code.
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I am a retired Senior Advisor for Cybersecurity and Risk Management to the National Risk Management Center, which is a division of Homeland Security’s (DHS) Cybersecurity and Infrastructure Security Agency (CISA). Among other projects, I spearheaded the establishment of the first National Critical Functions Risk Register to help senior government leaders prioritize and coordinate risk management objectives across the entire government ecosystem.
Prior to joining the National Risk Management Center, I served as the CEO of Threat Sketch, a data and analytics firm specializing in solutions for large scale cyber risk management problems. I completed my graduate studies in information security at East Carolina University and I am certified in risk and information systems control by ISACA. I am the author of Cybersecurity: A Business Solution, a definitive guide to managing cyber risk in small organizations. Additional career accolades include representing the interests of small organizations before Congress and through participation in key Homeland Security events. I was also a founding member of the ICT Supply Chain Task Force Executive Council. I served as the first chairman of the North Carolina Center for Cybersecurity and sat on advisory boards for the University of North Carolina at Greensboro, Forsyth Technology Community College and the University of North Carolina at Wilmington.
