Account Manager
About
Lost in the vastness of cyber risk data?
Account Manager gives underwriters a unique view of each risk with claims-validated predictive analytics. This enables them to identify the accounts that fall within set underwriting guidelines and ensure the carrier’s long-term profitability.
Cut through the noise
- Find the relevant insights you need
- Eliminate time-consuming data hunting
Improve workflow
- Seamlessly integrate into and improve your existing workflows
- Increase transparency and collaboration
Protect the bottom line
- Financially quantify your risk
- Decrease time per account
- Increase underwriting accuracy
Account Summary Dashboard
Dashboard
Displays the most relevant information:
Predictive risk factors
Select financial loss metrics
Predictive Security and Exposure scores
Past cyber incidents
Qualitative summary of findings
Partnering with leading institutions to power their growth
Chart your path to profitability
Purpose built from the ground up for insurance underwriter workflows, CyberCube’s data approach enables Account Manager to surface the key predictive insights you need to make data-driven risk selections and pricing decisions.
Account Manager features
Features
Account Manager provides access to clear, easy-to-understand explanations along with the technical detail to help both generalists and technical underwriters evaluate risks effectively and efficiently, including:
Enterprise intelligence
Insurance-relevant signals
Benchmark a submission against its peer group with proven predictive risk factors
Tailor coverage with relevant signals across multiple threat types
Financial loss quantification
Technology dependency data
Actionable insights
Cross-suite capabilities
Related Solutions
New! Marginal risk impact
Instantly quantify and optimize your portfolio at the point of underwriting to achieve:
- Greater diversification
- Impact to reinsurance programs
- Improved return on risk capital
Portfolio Scoring
Quickly conduct a detailed analysis of any portfolio to:
- Identify problem accounts, industries, and peer groups based on select at-risk telemetry
- Understand concentrations of both vulnerabilities and defensive security technologies
- Identify key drivers of risk and profitability
Why our clients choose CyberCube
Stephen Ridley
Head of Cyber
Aviva selected CyberCube "to help us grow our cyber book in a sustainable and profitable manner — but it will also play an important role in helping our customers improve their security capabilities and mitigate risks before they become an issue. Furthermore, CyberCube’s risk selection expertise will help us ensure that we have a strong grip on our potential exposure to systemic cyber risks".
Discover how to leverage leading cyber risk analytics for your business
Book a demo- Varun Govind Nagpal
Enhancing SPoF Data Quality with AI: CyberCube’s Approach
- Yvette Essen