X-Analytics

Defines and models specific cyber threat scenarios such as ransomware, data breach, business email compromise, or cloud outage as the unit of quantification, tying each scenario to a business decision rather than an enterprise-wide average. Scenario library breadth and support for custom scenario authoring vary across products.

Models the financial loss drivers that set the magnitude of each scenario, including incident response, business interruption, data recovery, regulatory fines, legal liability, and reputational harm. Coverage of secondary and long-tail losses varies across products.

Quantifies exposure to inform insurance coverage adequacy, policy limits, and risk-transfer decisions, and to justify control effectiveness during underwriting and renewal. Dedicated insurance modules are a differentiator rather than a universal capability.

Ranks and optimizes prospective security investments by financial risk reduction per unit of spend, supporting capital allocation, risk acceptance, and control-optimization decisions. Prescriptive optimization is stronger in some products than others.

Quantifies how the organization's existing security controls reduce financial exposure, expressing the monetary value of controls in place and the residual risk they leave. Products vary in whether control effectiveness is derived from observed data or from maturity self-assessment.

Grounds and continuously updates exposure and control-effectiveness estimates from the organization's own security tool signals such as vulnerability, endpoint, and control-monitoring data, rather than one-time questionnaires or workshops, keeping the risk picture current as the environment changes. The degree of automation versus manual input is a primary differentiator.

Translates quantified exposure into board-ready, CFO-ready, and executive-ready reporting in financial terms, supporting capital trade-offs, oversight, and budgeting and strategic-planning cycles. Reporting depth and boardroom framing vary across products.