Modeling of individual and aggregated cyber risk
Goal
A research initiative for Cyber Risk Modeling. DeNexus’ Data and Modeling experts led by Romy R. Ravines, and researchers from Institute of Mathematical Sciences (ICMAT), led by David Ríos Insua, joined efforts and experience in the use of Applied Probability, Data Science, Machine Learning, Bayesian Statistics and Risk Analysis, for cyber risk modeling, risk quantification, forecasting and risk management decision support for the continuous evolution of DeNexus’ flagship product DeRISK.
The ICMAT team has been part of the CYBECO project funded by the European Union’s Horizon 2020 Research and Innovation program, aiming to support cyber insurance from a behavioral choice perspective. The researchers advanced beyond the state-of-the-art in several fields including cyber security, cyber insurance, and adversarial risk analysis.