CyberCube Analytics, a cyber risk analytics platform for cybersecurity insurance underwriters, raises $35M Series B
Context & Ripple Effects
At the end of 2019, CyberCube Analytics' $35M Series B made it one of the earlier venture bets on a then-niche idea: selling cyber risk models directly to insurance underwriters rather than writing policies itself. The bet aged well — the same company later drew a $50M round led by Morgan Stanley Tactical Value, pushing its total funding past $100M.
What the corpus shows is that CyberCube was early to a funding wave rather than an outlier: by mid-2022, carrier-side player Coalition had raised a $250M Series F at a $5B valuation on real-time threat assessment, while SMB-focused insurer Cowbell Cyber scaled from a $20M Series A to a $100M Series B. Capital concentrated fast on whoever owns the cyber risk data layer.
First-order effects
- Insurance underwriters gain a dedicated modeling vendor for pricing cyber policies, and CyberCube gets multi-year runway to deepen its underwriting analytics before the category's larger rounds reset expectations.
Second-order effects
- Incumbent-adjacent players like Coalition and Cowbell are pushed to treat proprietary threat and risk-assessment data as their core differentiator, since a neutral analytics layer like CyberCube threatens to commoditize underwriting judgment across carriers.
Third-order effects
- If the pattern holds, cyber insurance splits into data owners and data renters: carriers increasingly price off third-party analytics platforms, shifting underwriting power toward vendors like CyberCube and raising questions about model concentration in how cyber risk is priced.
The trend: Cyber insurance is consolidating around specialized risk-analytics platforms, with successive mega-rounds turning the data layer between insurers and policyholders into the industry's most contested position.