Transform raw security findings into dollar-based risk scores. RQE converts vulnerability data, threat intelligence, and asset context into quantified financial impact — so you can prioritize what matters most to your business.
See Research & Methodology →This is the financial model the RQE API exposes programmatically — quantifying the dollar impact of proactive cyber defense.
Total Cost of Cyber Attack
TC = C_d + C_i
Annual Probability of Attack
P_a = 1-(1-P)^(1/Y)
Annualized Loss Expectancy
ALE = TC × P_a
Annualized Program Cost
ACC = C_prog / N
Gross Margin Impact
GMI = (ALE × Eff) - ACC
Full methodology, variable definitions, and worked numerical example available in the research white paper below.
Institutional-grade methodology. Peer-reviewed formulas. Board-ready worked example.
Download White PaperAll engine capabilities are available through the RQE REST API.
Likelihood × Impact × Category Weight × Severity Multiplier — normalized to 0-100 risk scores.
Identity, Perimeter, and Logging branches map findings to specific attack surfaces.
Monte Carlo simulations model potential loss distributions and confidence intervals.
AI-powered detection of hidden assumptions in your risk calculations.
Compare remediation costs against potential loss reduction with ROI projections.
RESTful JSON API designed for seamless integration into your existing workflows.
Track remediation progress and measure risk reduction over time.
Analyze risk trends over time to identify patterns and forecast future exposure.
RQE ingests findings from all Binary³ products and third-party sources into a single risk model.
KeySweep credential detection + RedLure phishing simulation findings feed identity risk scores.
MicroDefend vulnerability scans + Phoros security assessments map external attack surface.
LogSentinel log analysis + ForensIQ incident data track detection & response capabilities.
Embed real-time risk scoring into your SaaS, dashboard, or automation pipeline.
Choose your path: explore the API for developers or dive into the research methodology.