Authors: James Poynter Mohit Motwani William Gildea
Technographic scanning offers insurers a powerful lens into the evolving landscape of commercial cyber risk. However, transforming raw technographic data into actionable underwriting insights remains a significant challenge. To address this, Gallagher Re developed TIDE: Technographic Insight Discovery Engine, a tool designed to pinpoint the most critical technographic metrics and guide insurers on their practical application.
This paper delves into the predictive power of leaked information as a key indicator of cyber claim frequency. We compare scores from Orpheus Cyber against technographic metrics and traditional firmographic factors, such as industry and revenue, to assess their relative impact on risk assessment.
Key findings
- Leaked information on the surface, deep and dark web is a predictive driver of cyber claims, providing unique value beyond traditional firmographic data
- In addition, we continue to see predictive power from technographic measures of the size of organisations' cyber footprints
- Quality threat intelligence can add value when used to augment and interpret raw data sources
How insurers benefit
- Enhanced risk segmentation: Identify and prioritise risks with the highest expected claim frequency to optimise portfolio management
- Smarter underwriting: Balance the proportion of insureds against their claim likelihood, enabling competitive pricing while minimising risk exposure or adjusting terms as needed
