Interactive Demo

RQE Risk Engine Demo

See the Binary³ Risk Quantification Engine in action. Try different scenarios with sample data to understand how RQE calculates cyber risk, financial impact, and defense ROI.

Try the Demo View API Docs

How the Demo Works

Step 1: Set Inputs

Choose attack likelihood, impact, asset criticality, and which security branches apply to your scenario.

Step 2: Run the Engine

RQE calculates overall and branch-level risk scores, plus financial impact and defense cost analysis.

Step 3: Interpret Results

See how input changes affect risk scores, modeled breach probability, and investment ROI.

Interactive Risk Calculator

Configure parameters and see real-time RQE calculations powered by our risk engine.

Input Parameters

35%

This demo uses sample data and synthetic calculations.

Configure parameters and click "Run Risk Simulation" to see results.

FIVE-STEP RQE METHODOLOGY

Model Your Cyber Risk in Dollars

Adjust the assumptions below to see how RQE translates technical exposure into annualized financial impact, gross margin impact, and cybersecurity ROI.

Risk Assumptions

$1.2M

Incident response, forensics, legal, notification, and regulatory costs.

$3.0M

Lost revenue, customer churn, reputational damage, and productivity loss.

45%

Estimated probability of at least one material cyber event over the selected time horizon.

3 years
$1.5M

Licensing, labor, tools, training, implementation, and managed services.

3 years
70%

Estimated risk reduction produced by the security program. Empirical range: 30–85%.

Financial Impact Analysis

STEP 01
Total Cost of Cyber Attack
$4.2M
Direct + Indirect Costs
STEP 02
Annual Probability of Attack
17.4%
Bernoulli annualization
STEP 03
Annualized Loss Expectancy
$730.8K
Expected annual dollar loss
STEP 04
Annualized Program Cost
$500.0K
Program cost / lifespan
STEP 05
Gross Margin Impact
$11.6K
Positive modeled margin impact.
Estimated Cybersecurity ROI
2.31%
Value-positive investment.

Model Confidence

Moderate
Score: 72 / 100

This simulator is illustrative. Final RQE outputs should be calibrated using organization-specific telemetry, insurer actuarial data, threat intelligence, and control maturity evidence. Read the full methodology →

Full methodology, variable definitions, and worked numerical example in the RQE Research White Paper.

Try Pre-Built Scenarios

Load example companies and instantly see risk calculations

From RQE Demo to Dashboard 2.0

The same Risk Quantification Engine powering this demo sits at the core of Binary³ Dashboard 2.0.

In production, RQE continuously ingests findings from MicroDefend, KeySweep, RedLure, Phoros, LogSentinel, and ForensIQ, then converts them into branch-aware risk scores and financial impact—exactly like this demo.

Unified Findings

Normalize alerts across six tools into a single, prioritized queue with deduplication and correlation.

Branch-Level Risk

See Identity, Perimeter, and Logging risk scores evolve in real time with detailed finding breakdowns.

Financial Lens

Translate technical exposure into gross margin impact, ROI, and executive-level risk insights.

Explore Dashboard 2.0 View RQE API & Pricing Request API Access