Risk Engine for Modern Security Teams

Binary³ Risk Quantification Engine (RQE)

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.

View API & Pricing Run Demo
See Research & Methodology →

Cybersecurity Threat Management & ROI

This is the financial model the RQE API exposes programmatically — quantifying the dollar impact of proactive cyber defense.

Step 1: Total Cost of Cyber Attack

Combine direct costs (investigation, recovery, legal) and indirect costs (downtime, reputational damage).

Total Cost = Direct Costs + Indirect Costs

Step 2: Annual Probability of Attack

Estimate yearly likelihood based on threat models or historical frequency.

Annual Probability = 1 - (1 - P)^(1 / Y)

Step 3: Annualized Cost of Cyber Attack

Multiply total cost by annual probability to get expected annual loss.

Annualized Cost = Total Cost × Annual Probability

Step 4: Annualized Cost of Threat Management

Spread your cybersecurity program cost over its expected lifespan.

Annualized Cyber Cost = Program Cost / Years of Use

Step 5: Gross Margin Impact

Calculate financial benefit by subtracting defense cost from projected losses.

Gross Margin Impact = Annualized Attack Cost - Annualized Cyber Cost
See Developer API →

Risk Engine Capabilities

All engine capabilities are available through the RQE REST API.

Mathematical Scoring

Likelihood × Impact × Category Weight × Severity Multiplier — normalized to 0-100 risk scores.

Three Risk Branches

Identity, Perimeter, and Logging branches map findings to specific attack surfaces.

Exposure Modeling

Monte Carlo simulations model potential loss distributions and confidence intervals.

Assumption Detection

AI-powered detection of hidden assumptions in your risk calculations.

Cost-Benefit Analysis

Compare remediation costs against potential loss reduction with ROI projections.

API-First Architecture

RESTful JSON API designed for seamless integration into your existing workflows.

Remediation Tracking

Track remediation progress and measure risk reduction over time.

Historical Trend Modeling

Analyze risk trends over time to identify patterns and forecast future exposure.

View API Endpoints →

Unified Security Data Pipeline

RQE ingests findings from all Binary³ products and third-party sources into a single risk model.

Identity Branch

KeySweep credential detection + RedLure phishing simulation findings feed identity risk scores.

Perimeter Branch

MicroDefend vulnerability scans + Phoros security assessments map external attack surface.

Logging Branch

LogSentinel log analysis + ForensIQ incident data track detection & response capabilities.

Ready to Plug RQE Into Your Product?

Embed real-time risk scoring into your SaaS, dashboard, or automation pipeline.

Start Building With RQE

Choose your path: explore the API for developers or dive into the research methodology.