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Cyber risk modeling and analytics for MGAs

MGAs partner with CyberCube to navigate the shifting cyber landscape, obtain more capacity, and enhance their own data-driven views of risk.

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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

Why our clients choose CyberCube


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


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
Learn More

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
Learn More

Related Capabilities


Discover how to leverage leading cyber risk analytics for your business

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Consultative Services

Unlock the business value in cyber insurance from our team of hundreds of world-leading experts from data science, cyber security, artificial intelligence, threat intelligence, actuarial science, software engineering and insurance.

CyberCube Consulting
Answer challenging cyber questions and grow the addressable market.

CyberCube Concierge
Partner with clients and provide high value cyber domain knowledge.

CyberCube CAERS
Get up-to-date intelligence on major cyber catastrophes as they unfold.

How do I stress test portfolio accumulations and model realistic scenarios at various return periods?

The fast-changing nature of cyber risk creates increased uncertainty for risk modelers and portfolio managers trying to identify portfolio exposure accumulations and develop realistic cyber catastrophe scenarios. Risk modelers need the flexibility to vary frequency, severity and other assumptions to dynamically stress test model outputs. Portfolio managers need to efficiently stress test their assumptions, often without creating bespoke models from scratch.

CyberCube’s Portfolio Manager enables stress-testing by varying frequency distributions, frequency mode and severity modes. Portfolio Manager allows you to drill down and identify loss drivers and areas of accumulation risk across multiple lines of business.


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