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Guidewire Cyence | Predict and shape the future of insurance


Write profitable business risks

Cyberattacks are increasing in frequency, severity, and variety. Insure your clients against these attacks while pricing risk accurately and profitably.

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After conducting a review of data analytics services available in the market, we found that Cyence’s data science capabilities and engineering expertise offered us the best solution to address the challenges of today’s data-driven world.

Adam Rich

Head of Underwriting Technology
Beazley Insurance Services

Capture Broad Data

Overcome data collection challenges with technical and behavioral threat data from 400+ sources and 1,000+ data points in real time. Gain a 360-degree view of the cyber exposure for target companies, portfolios, or industries.

  • See firmographic, technographic, and cyber exposure signals for any company

  • Aggregate data through Cyence’s internet-scale data listening engine

  • Data sources include public open-source, proprietary, private, and third-party data

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Improve Risk Modeling

Model the frequency, severity, and likelihood of cyberattacks. Easily establish companies at risk of cyberattack to improve risk selection and address pricing adequacy to protect profitability.

  • Understand the probability of a cyberattack and associated losses

  • Get a numeric risk rating for a company's risk of breach — on demand

  • Models are refined through years of deep P&C and cyber-domain experience

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Leverage Granular Insights

Get personalized exposure signals across 45+ risk factors to enable dynamic loss analysis for companies, portfolios, industries, and more. Use insights to power continuous underwriting and manage portfolio health to avoid or reduce losses.

  • Get top positive and negative risk factors for a cyber incident

  • Leverage actionable insights to help your client mitigate security risks

  • Estimate ground-up losses, average annual loss, and probability for paying a loss for a wide variety of attack scenarios

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