Guidewire Cyence | Predict and shape the future of insurance
Cyence
Write profitable business risks
Write profitable business risks
Cyberattacks are increasing in frequency, severity, and variety. Insure your clients against these attacks while pricing risk accurately and profitably.
Cyence is part of the economic modeling process that combines the best of Marsh’s experience and partnerships around the globe to help drive superior economic models for clients to understand their particular cyber risk environment.
Tom Reagan
Marsh
Capture Broad Data
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
Improve Risk Modeling
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
Leverage Granular Insights
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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