Free June 2024 Webinar! "Forecasting data breaches"
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Angene Flournoy
Jun 18, 2024, 2:31:43 PM6/18/24
to SiRA-public
Abstract:
Data breaches are not as random as you might think. Building upon previous work forecasting fraud among business customers, we discovered something often overlooked by practitioners. Insufficient staffing is a strong predictor of data breach, and surprisingly, audit staff is just as effective at preventing a data breach as staff working in information technology.
This session will demonstrate how cybersecurity data breach can be accurately forecast based upon the number of employees overall, and the number of employees with certain certifications that relate to cybersecurity. You will learn how this approach of measuring cybersecurity could help your organization to set risk appetite goals in terms of expected frequency of data breach and to right size the cybersecurity team to meet these goals.
Time.
For Registration and Thomas Lee's full biography click HERE.
Data breaches are not as random as you might think. Building upon previous work forecasting fraud among business customers, we discovered something often overlooked by practitioners. Insufficient staffing is a strong predictor of data breach, and surprisingly, audit staff is just as effective at preventing a data breach as staff working in information technology.
This session will demonstrate how cybersecurity data breach can be accurately forecast based upon the number of employees overall, and the number of employees with certain certifications that relate to cybersecurity. You will learn how this approach of measuring cybersecurity could help your organization to set risk appetite goals in terms of expected frequency of data breach and to right size the cybersecurity team to meet these goals.
Time.
For Registration and Thomas Lee's full biography click HERE.
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