AI-generated from public sourcesThe starting point for every profile: auto-generated by 0-Doubt from public vendor materials, and not yet confirmed by the vendor or an independent analyst. Nothing here is hidden or overstated — it simply has not been reviewed yet.Where every profile starts, before the vendor or an analyst has reviewed it. A higher label means a more independent source — not a better product.How trust works →Secure coding rating: 50/100How this score is computedA product with no known CVEs starts at a neutral score and climbs the longer it goes without one; a product with known CVEs is penalized by severity instead. This one has 0 known CVEs (vendor-level match — see the CVE list below) and is tracked as ~51 days old in our catalog (a stand-in for real release date, which we don't track). The platform admin controls the formula's weights.
Cybercube, founded in 2015, builds data-driven cyber-risk analytics purpose-built for the insurance industry.
CyberCube is a cyber risk analytics platform designed for the insurance industry, translating cyber risk into financial impact. It leverages AI and a multidisciplinary team to model cyber risk, serving over 70% of global cyber premiums and being used by major insurers, reinsurers, and brokers worldwide. The platform offers fit‑for‑purpose solutions, transparency in data and methodology, and integrates into existing workflows.
Strengths
Used to model over 70% of global cyber premiums
75% of the top 40 European and US cyber insurance carriers utilize CyberCube analytics
Over 1 billion technology dependencies
50% of the top 20 reinsurance carriers analyze their portfolios with CyberCube
70% of the top ten reinsurance brokers use CyberCube
Fit for purpose solutions
Materials
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