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Underwriting Cyber Risk

on demand vulnerability scanning
  • CyberCube

On-demand vulnerability scanning: How cyber insurers can refine their risk selection

Cyber insurers must leverage relevant data when choosing which risks to underwrite and the on-demand scanning vulnerability tool used is vital to assist with this.
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cyber data conundrum
  • John Anderson

The cyber data conundrum part 4: building relevant signals

This final blog in the Cyber Data Conundrum series covers the kind of data signals should be based on, the view of signals underwriters need to make risk selection decisions and choosing the right kind of data partner.
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The cyber data conundrum part 3: fitting signals into the underwriting workflow
  • John Anderson

The cyber data conundrum part 3: fitting signals into the underwriting workflow

This cyber data conundrum blog series continues, this time covering how cyber underwriters can best fit signals into their underwriting workflow.
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cyber data signals
  • John Anderson

The cyber data conundrum part 2: what signals say about the state of the dam

This blog explores the difference between how cyber security data and insurance data is used and why cyber underwriters need signals to make informed decisions.
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The cyber data conundrum: cyber risk data in insurance
  • John Anderson

The cyber data conundrum part 1: cyber risk data in insurance

With the volume of cyber risk data available to underwriters, they need to be able to cut through the noise and access the signals they need to make informed underwriting decisions. This blog will provide details on the data needed to achieve profitability in the cyber insurance market.
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  • 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. 
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  • 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.
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  • 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.
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challenges of underwriting cyber risk
  • Oliver Brew

Top 4 challenges of underwriting cyber risk in a hard market

Underwriting cyber risk comes with many challenges, whether you’re underwriting cyber risk in a soft or hard market. Hard markets with limited capacity, restrictions on coverage, and pricing challenges create additional pressures. 
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  • John Anderson

Account Manager: Powering informed cyber underwriting decisions

In a hardening cyber insurance market, it’s critical that underwriters are equipped with the right information to make informed cyber underwriting decisions. Using the right cyber risk modeling tool can help you evaluate accounts effectively and improve risk selection.
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underwriting cyber risk
  • Chelsea Law

Underwriting cyber risk: 5 features to look for in a cyber modeling solution

Picking the right cyber modeling solution is critical to underwriting cyber risk. An effective tool can help quantify loss with the right verified data.
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digital-risk-image
  • Laurel Di Silvestro

The changing cyber underwriting landscape for small risks – Where do cyber risk models, and data delivery technology solutions fit?

The insurance industry faces disruptions to figure out how to underwrite these risks while accessing info on vulnerability data & risk mitigation processes
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