In a world increasingly dependent on digital tools, cyber-risk is an emerging threat for global economy. Since cyber-security engineering can never achieve a perfect protection against this risk, cyber-insurance products aim to provide economic repairs to the policyholders. They also play a role of prevention and assistance to the small business companies which may have difficulties to undertake the IT function on their own.
Quantifying the impact of cyber-risk is then a challenging task, in various ways:
In this training, we will describe quantitative tools that can be used to help decision and design of such guarantees. A particular attention is devoted to the methodology, and how to adapt to the (poor) quality of data. We will address cyber-insurance first in a classical frequency / cost dichotomy, before giving some ideas on the models that can be used to consider cyber pandemic.
Scientific Advisor, Detralytics
Professor in Actuarial Sciences, Ensae
Date : On-Demand
Duration : 6h
Accreditation : 6CPD – 36PPC
Level : All
After completion of the training session, participants will have acquired a general understanding on the main problematics linked to cyber-risk evaluation. They will discuss the quality of cyber data, develop models to evaluate the risk associated with a cyber contract, and design decision tools to determine the perimeter of the guarantee. They will know how to implement these models using R.
Olivier is a professor at ENSAE in Paris (FR) and also co-director of the Master 2 in Statistics, Finance and Actuarial Sciences. He is a Qualified Actuary and has a compelling academic background developed in prominent universities.
At Detralytics, Olivier coaches young talents, provides cutting-edge training, fosters innovation and oversees R&D projects.