Back to All Events

FAIR Analysis: Throwing the “Bad” Data in With the “Good”

In this webinar, participants will be introduced to a simple way to think about and communicate the relative value of data inputs to FAIR analysis and learn about the concept of a “risk information classification framework”.

Attendees will also hear about how such a framework may be used for reducing the likelihood of “analysis data rejection” from the business and how to implement a managed approach for improving precision, visibility, and confidence in analysis.

Meet your speaker:

Jack Whitsitt, Director of CRQ at Ostrich Cyber Risk, is a long-time practitioner and leader in the Cyber Risk Quantification space. 

Backed by over two decades of information security experience ranging from manipulating bits and bytes to weighing in on international policy, he also has seven years of quantified decision support experience building FAIR-based programs for organizations large and small.  Jack has also spent several years volunteering in non-profit roles advocating for and advancing the state of the art of quantified information risk analysis. 

Previous
Previous
November 15

Control Performance vs Control Efficacy: A (Quantified) Risk Perspective

Next
Next
February 15

Starting Your Quantified Risk Measurement Journey