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How CyberCube helps:
- Demonstrate your ability to manage cyber catastrophe risk and the quality of your book to capacity providers
- Substantiate new insurance products with the industry's cyber model of choice
- Stress test portfolios to assess the resilience of your insurance policies
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How CyberCube helps:
- Supplement your risk selection with proven predictive risk factors
- Benchmark submission against its peer group
- Tailor coverage with relevant signals across multiple threat types
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How CyberCube helps:
- Assess potential and active accumulation events through the combination of Portfolio Manager and SPOF Intelligence
- Identify potentially impacted companies quickly during a live event
- Plan actions and communications based on the likely magnitude of an event
- Quantify the financial impact of events as the they occur
Adam Braithwaite
Senior Reinsurance Actuary
Lockton Re selected Portfolio Manager to "integrate with Lockton Re's SAGE, our proprietary reinsurance analytics platform, to provide our clients with even greater analytical insights and advice for their cyber portfolios".
Claude Yoder
Global Chief Innovation and Product Development Officer
“The powerful combination of our knowledge of (re)insurance dynamics and the evolution of the product and macro-systemic industry concerns, coupled with CyberCube’s expertise in data science, cyber security, software engineering and actuarial modeling, will deepen the industry’s understanding of this rapidly evolving risk.”
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. Further, CyberCube’s risk selection expertise will help us ensure that we have a strong grip on our potential exposure to systemic cyber risks".
MGA Solutions
Cyber portfolio risk modeling and underwriting tools
Solutions
Portfolio Manager
Make informed decisions
- Access the broadest array of realistic scenarios available in the industry for a reliable, defensible assessment of your loss exposure
- Analyze your silent cyber risk across all lines of business
- Probabilistically quantify aggregation and attritional losses
- Refine your analysis options with controls to adjust frequency, severity, and other assumptions
Establish your own view of risk
- Stress test scenarios against your own portfolio(s) to develop and represent your company’s own robust, realistic, and validated view of risk
- Uncover portfolio-level insights for your senior leadership and working teams.
- Refine your organization’s risk management strategies
- Determine optimal pricing
Account Manager
- Make data-driven underwriting risk selection and pricing decisions
- Filter out the noise and contextualize key risk and loss data
- Quickly identify the accounts that fall within your underwriting guidelines
- Assess the impact of a single risk on a portfolio (Marginal Risk Module with AM + PM)
- Integrate Account Manager analytics into underwriting workflows with CyberConnect APIs
Related Capabilities
- Assess Marginal Risk with
Portfolio Manager + Account Manager - Identify points of aggregation with
SPoF Intelligence - Optimize your portfolio with
Attritional Loss Model (ALM) - Identify potential growth strategies with
Industry Exposure Databases (IED) - PLUS, Integrate your workflow seamlessly with CyberConnect
- Varun Govind Nagpal
Enhancing SPoF Data Quality with AI: CyberCube’s Approach
- Yvette Essen
Trium Cyber licenses CyberCube’s Portfolio Manager to support market growth
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