WHAT WE DO

Turn Complex Risk Into 
Defensible Business Decisions.

Real-Time Decision Intelligence

Automated Dynamic Asset Mapping

Patent-Pending Methodologies

Multi-Domain Risk Quantification

AI-Assisted Risk Intelligence

Enterprise Scale Deployments

Board-Ready Reporting

Traditional Risk Programs Create Reports

AVRQ™

Quantify cyber, technology, operational, and compliance risk in measurable business terms to support investment and decision-making.

A.D.A.M.™

Establish and maintain visibility into assets, relationships, dependencies, and business context across the enterprise.

ACET™

Evaluate control performance and effectiveness in near real-time to support risk optimization and operational resilience.

How It Works

Map Assets and Dependencies

Evaluate Controls and Exposures

Normalize and Quantify Risks

Prioritize Actions by Business Value

Why Mercury is Different

Empirical Risk Intelligence

Risk Optimization

Defensible Decisions

The Mercury Platform

From Enterprise Data to Executive Decisions

Mercury connects enterprise data, control intelligence and proprietary risk quantification through four integrated platform layers. Each layer builds on the intelligence produced by the one before it — transforming fragmented source data into decision-ready risk intelligence.

Mercury Proprietary Methodology

Powered by Mercury’s AVRQ™ Methodology

Mercury’s Asset Value-based Risk Quantification (AVRQ™) methodology connects asset value, business context, control performance and active exposure to help organizations understand where risk matters most and where action can create the greatest reduction in exposure. AVRQ™ produces two primary risk scores that support risk prioritization, investment decisions and business-value-based risk management.

Asset Value-Based Risk Score

Fundamentally, Mercury’s Asset Value-Based Risk Score represents inherent risk associated with an asset’s existence, importance and business context.

More than 100 factors contribute to the score. Broad categories include financial significance; audit, legal, regulatory and contractual exposure; architectural and technology characteristics; data value, type and exposure; third-party and vendor dependencies; AI usage and exposure; user context; and geopolitical considerations.

These factors can change and therefore raise or lower the score, but they typically require more substantial business, architectural, contractual, operational or technology decisions than routine remediation activities.

Scoring assets across the enterprise creates a prioritized “crown jewels” view, helping organizations identify the assets that warrant the greatest protection, oversight and investment.

Addressable Risk Score

Mercury’s Addressable Risk Score measures active risk exposure that can be influenced through targeted action. It provides a structured view of the conditions that organizations can improve, mitigate or otherwise address.

More than 1,000 factors and controls contribute to the score. Broad categories include vulnerability and threat exposure; security monitoring and detection; endpoint and technology protection; control effectiveness; resilience and recovery; compliance, audit and legal obligations; issues and remediation; architectural and component-level conditions; third-party and vendor risk; AI-related risk; and asset-specific risk characteristics.

Unlike many of the factors contributing to inherent asset value-based risk, addressable factors represent conditions that organizations can more directly influence through remediation, control improvements, architectural changes, risk treatment and targeted investment.

The Addressable Risk Score helps organizations identify where action can reduce exposure and prioritize those opportunities across individual assets and the enterprise.

Mercury’s detailed factor libraries, control mappings, weighting methodology, formulas, normalization logic and scoring algorithms are proprietary.