MODULE 1
What is ‘Cyber”?
In this module, we’ll introduce you to the fundamentals of cyber risk and address why it is an important risk for the insurance industry. We’ll also discuss the scale of cyber risk today and what it could look like in the future.
MODULE 2
The Cyber Insurance Marketplace
What does the cyber insurance marketplace look like? This module outlines the size and shape of the global cyber insurance market. We will address categories and coverages, clauses, exclusions, policy terms and touch on some of the legislation impacting cyber exposures around the world
MODULE 3
Introduction to the Cyber Threat Landscape
This module touches on the cyber threat landscape. It will introduce you to some of the threat actors, highlight the different types of attack and provide examples of the damage that they can cause.
MODULE 4
Deep-dive: Ransomware
In your first deep-dive module we will help you to understand what ransomware is and the basics of how it operates, as well as some common misconceptions. There will be a focus on delivery methods and mitigation, as well as defense practices.
MODULE 5
Deep-dive: Demystifying the Darkweb & Cyber Attack as a Service
In our second deep-dive course, we aim to help you understand and identify the types of attacks and structure of the ecosystem that is Cyber Attack as a Service (CAaaS). We’ll help you identify the players and motivations of actors and buyers.
MODULE 6
Deep-dive: The Cloud
By completing this module you should be able to define ‘The Cloud’, identify common cloud services which businesses increasingly rely on and understand the pros and cons of using such services. We’ll examine how reliance on the cloud is expected to change and grow and highlight some of the cyber risks associated with its usage.
MODULE 7
Portfolio Risk Analysis and Quantification
This module will start to address how cyber risk is modeled for the insurance industry and how cyber differs from other natural catastrophe modeling methodolgies. It highlights loss types and actuarial pricing methodology and aims to demonstrate how to make decisions based on model outputs.