Startups > CyberCube

CyberCube

CyberCube helps insurers quantify cyber risk through AI-powered risk analytics.

Venture Round $280M total Founded 2015 San Francisco, California 133 employees

CyberCube provides AI-powered cyber risk analytics and modeling software that translates cybersecurity exposures into quantified financial risk for insurance underwriting and portfolio management. The platform serves insurers, reinsurers, and brokers across the cyber insurance value chain, enabling data-driven decision-making beyond traditional underwriting factors like industry and geography. CyberCube's actuarial science combined with big data AI can predict risk multipliers (2x, 10x, 20x) for individual companies, and has demonstrated forecast accuracy within 1% of actual industry loss ratios. The company is trusted by 75% of top 40 US/European cyber insurers and commands over two-thirds of the global cyber reinsurance market by premium.

Problem solved

Reinsurers and insurers were making cyber risk decisions based only on industry, revenue, and geography, ignoring actual cybersecurity exposures and threat indicators.

Target customer

Tier-1 and mid-market cyber insurers, reinsurers, and brokers managing cyber insurance portfolios and underwriting decisions.

Website LinkedIn Crunchbase Twitter / X

Founders

Pascal Millaire

Senior Advisor (former CEO)

20 years in cyber risk analytics and cyber insurance; previously McKinsey consultant; brought in as General Manager when CyberCube was a Symantec division.

Ashwin Kashyap

Chief Product Officer & Co-Founder

Co-founder of CyberCube with focus on product strategy.

Chris Methven

Chief Executive Officer

Appointed CEO in 2025, succeeding Pascal Millaire.

Funding history

Series A $15M March 2018 Led by Forgepoint Capital (formerly Trident Capital Cybersecurity)

Series B $35M November 2019 Led by HSCM Bermuda and Forgepoint Capital · MTech Capital, Stone Point Capital

Series C $50M December 2022 Led by Morgan Stanley Tactical Value · Forgepoint Capital, HSCM Bermuda, MTech Capital, Stone Point Capital

Series D $180M October 2025 Led by Spectrum Equity · Forgepoint Capital, Hudson Structured Capital Management (Bermuda), MTech Capital

Total raised: $280M

Industries

Analytics Cyber Security Insurance InsurTech Software

Pricing

Not publicly available. Enterprise B2B SaaS licensing model with custom implementations per client segment.

Notable customers

Ariel Re, TechAssure, Bishopsgate Insurance Brokers, Aviva, Meijers Assurantiën, MS Amlin, Lockton Re

Tech stack

Slick (JavaScript libraries) jQuery (JavaScript libraries) core-js (JavaScript libraries) YouTube (Video players) Plyr (Video players) Open Graph HTTP/3 HubSpot Cookie Policy Banner (Cookie compliance) HubSpot Analytics (Analytics) Matomo Analytics (Analytics) Cloudflare Bot Management (Security) HSTS (Security) Typekit (Font scripts) Google Workspace (Email) jQuery CDN (CDN) cdnjs (CDN) Cloudflare (CDN) MailChimp (Marketing automation) HubSpot (Marketing automation) Amazon Web Services (PaaS) HubSpot CMS Hub (CMS)

Website

cybcube.com/

Competitors

Verisk Analytics

Broader insurance risk analytics platform; CyberCube focuses specifically on cyber risk with deeper actuarial modeling for insurance.

Kovrr

Cyber risk assessment platform; CyberCube differentiates with insurance-specific actuarial science and reinsurance portfolio modeling.

Cyberwrite

Cyber risk quantification platform; CyberCube has deeper penetration in top-tier reinsurer and insurer markets.

Corax

Insurance analytics provider; CyberCube specializes exclusively in cyber risk for insurance underwriting and portfolio management.

Moody's Insurance Solutions

Broader insurance analytics; CyberCube is a specialist cyber risk analytics engine rather than multi-line insurance provider.

Why this matters: CyberCube has achieved exceptional market penetration (75% of top 40 cyber insurers) and demonstrated measurable actuarial accuracy, making it the de facto analytics backbone for the global cyber insurance industry. The October 2025 $180M Series D from Spectrum Equity and recent CEO transition signal institutional confidence in the platform's market dominance and growth trajectory.

Best for: Tier-1 cyber insurers and reinsurers that need AI-driven risk quantification and portfolio aggregation modeling for underwriting and claims management.

Use cases

Cyber Risk Underwriting

An insurer uses CyberCube's risk scoring to assess a company's actual cyber exposure (threat actors targeting them, security posture gaps) rather than relying only on industry classification. This enables more accurate premium pricing and risk acceptance decisions.

Portfolio Aggregation & Concentration Risk

A reinsurer uses CyberCube to model correlation between cyber losses across their portfolio (e.g., identifying if multiple clients are all vulnerable to the same threat actor), preventing unexpected concentration losses and improving capital allocation.

Broker Risk Communication

A broker like Meijers uses CyberCube's Portfolio Threat Actor Intelligence to present data-driven risk insights to CFOs and IT leaders, building trust and guiding clients toward better cyber risk management.

Loss Forecasting & Reserving

CyberCube's actuarial models predict industry loss ratios with 1% accuracy, helping insurers set reserves and model profitability more accurately than traditional approaches.

Alternatives

Verisk Analytics Choose Verisk if you need multi-line insurance analytics; choose CyberCube for cyber-specific, actuarially-focused risk modeling.

Kovrr Choose Kovrr for cyber risk assessment from a technology vendor perspective; choose CyberCube for insurance underwriting and portfolio management-specific modeling.

SecurityScorecard Choose SecurityScorecard for security posture scoring; choose CyberCube for insurance-specific risk quantification and actuarial modeling.

FAQ

What does CyberCube do? +

CyberCube combines AI, big data, and actuarial science to translate cybersecurity exposures into quantified financial risk for insurance underwriting and portfolio management. The platform helps insurers and reinsurers make data-driven decisions by assessing actual cyber threats and vulnerabilities rather than relying solely on industry, revenue, and geography.

How much does CyberCube cost? +

Pricing is not publicly available. CyberCube operates on an enterprise B2B SaaS licensing model with custom implementations tailored to each client segment. Contact their sales team for pricing details.

What are alternatives to CyberCube? +

Key alternatives include Verisk Analytics (broader multi-line insurance analytics), Kovrr (cyber risk assessment from tech perspective), Cyberwrite (cyber risk quantification), and Corax (insurance analytics). Each differs in focus; CyberCube is specialized for insurance underwriting and actuarial modeling.

Who uses CyberCube? +

CyberCube is used by 75% of the top 40 US and European cyber insurers, the majority of top 20 global brokers, and over two-thirds of the global cyber reinsurance market by premium. Named customers include Ariel Re, Aviva, Meijers Assurantiën, MS Amlin, and Lockton Re.

How does CyberCube compare to Verisk? +

While Verisk offers broad insurance analytics across multiple lines, CyberCube is a specialist cyber risk analytics engine built specifically for insurance actuarial science and portfolio modeling. CyberCube's models are tuned to predict cyber loss ratios with 1% accuracy and identify threat actor concentration risk, whereas Verisk serves as a broader analytics platform.