At CyQuantiFi, we are making the unknown understandable and the uninsurable quantifiable. In an era where organizations are drowning in threat data but starving for risk insight, we provide the missing translation layer between technical security signals and financial business risk.

We are the world’s first crowd-forecasting-driven cyber risk quantification engine. Our platform automatically and continuously turns raw threat intelligence into clear financial signals that Boards and auditors actually understand. By combining real-time data with rigorous financial modeling, we answer the only question that truly matters: "Given the current threat landscape, how much could we lose—and what should we do about it?" 

What we deliver:
*Continuous Risk Quantification: We use the FAIR methodology and Monte Carlo simulations to calculate Annual Loss Expectancy (ALE) and Value at Risk (VaR).
*Crowd-Forecasting Intelligence: Our engine aggregates predictions from experts using Bayesian methods to provide a validated consensus signal on breach likelihood.
*Audit-Ready Compliance: We automate the documentation and analysis required for complex standards like ISO 27001:2022 Control 5.7.
*Strategic Advantage: We provide the quantified data needed to reduce insurance premiums and accelerate compliance with global regulations like DORA and the SOCI Act.

Stop guessing. Start measuring.

CyQuantiFi

Samuel K.

This department provides strategic direction and governance for the organization.

CyQuantiFi

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CyQuantiFi

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Teams

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