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Understanding cyber events: A model for reducing frequency and increasing resilience

This study analyzes data and explores how it can inform models of potential cyber risk frequency.

How often is an organisation likely to experience an event compared to similar companies?

As cyber threats evolve and increase, it can be challenging for organisations to determine where to focus their limited cybersecurity resources, including insurance, to best support their resilience strategies. This new report shows how Marsh McLennan is using the ever-increasing amount of available cybersecurity data to help companies better understand, measure, and manage their risks.

In this study, Marsh McLennan analyzed three types of data and how they can inform models of potential cyber risk frequency. Specifically, Marsh McLennan developed “frequency modifiers” to help organisations better gauge their risk over time of experiencing a cyber event relative to the risk faced by their peers.

This report reveals that company size influences frequency modifiers.

Download the report today to learn how understanding the frequency of events can impact your organisation’s cyber risk management strategies.