- Andy Kao
Data and cyber threat modeling: what to consider in a changing market
In today’s hardening cyber insurance market, making informed decisions can be difficult, so it’s more important than ever for cyber underwriters to be prepared for the road ahead. Cyber underwriting conditions are changing, with premiums increasing, capacity decreasing, and insurers altering their policy terms and conditions.
Read Article
- Chelsea Law
Are your underwriters using the right signals for risk selection?
An article covering the statistical significance of Account Manager signals and how underwriters can utilise them to their advantage.
Read Article
- MJ Witenberg (they/them)
CyberQbers: Trans Day of Visibility 2022
What is Trans Day of Visibility?
Read Article
- Anjali Nagrani
6 ways to better understand your tail risk
Six tips to consider when evaluating cyber portfolio modeling solutions to help you make better, more profitable decisions
Read Article
- Emmanuel Thioux
Migrating Lambda functions to ECS
How we are converting Lambda functions to containers in a way that requires no code changes in those functions.
Read Article
- Derek Neal
SPoF Intelligence: Providing analytics on non-modeled SPoFs
In the second part of this two-part blog series about SPoF attacks, we’ll use examples to explore how a unique solution like SPoF Intelligence can fully equip you with the dependency data you need.
Read Article
- Darren Thomson
Top cyber security trends for 2022: what (re)insurers need to know
In this blog, we’ll cover cyber security trends occurring in 2022 so you are better positioned to judge the security of clients and future prospects, and make better cyber risk strategy decisions.
Read Article
- William Altman
External scan data in cyber risk underwriting: What you need to know
With cyber analytics tools, you need reliable data sources — especially for external scan data so you can accurately measure the cybersecurity level of a company.
Read Article
- Charlotte Anderson
Defining the Possible Part 3 of 3: 6 components to developing a cyber catastrophe scenario
Building a cyber catastrophe scenario involves six key components: attackers, targets, objectives, vulnerabilities, impact and consequences.
Read Article
- Laurel Di Silvestro
Defining the Possible Part 2 of 3: Criteria for incorporating cyber attack scenarios in insured loss models
By definition, cyber attack scenarios are developed based on their potential to depict systemic financial aggregation events impacting multiple insureds.
Read Article
- Laurel Di Silvestro
Defining the Possible Part 1 of 3: Considerations when creating cyber catastrophe scenarios
Global cyber insurance rates have been rising year over year along with increasing claims, with all signs indicating that this trend will likely continue. The question is how much worse can it get?
Read Article
- William Altman
GoDaddy data breach: a SPoF attack with potential for catastrophic cyber losses
Attacks on domain registrars and web hosting companies like GoDaddy underscore the importance of modeling catastrophic cyber events. CyberCube’s products and services are here to help.
Read Article