OverviewKey StatsPlatformChallengesApproachInsights
Use Case 01CEO · CRO · BOARD

Quantify Cyber Risk
in Financial Terms

The Question We Answer
“How much does our cyber risk actually cost us, and which threats pose the greatest financial exposure right now?”
See Your Industry Risk Data ↓
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400K+
Real-World Breach Records
16
Risk Categories Modeled
40+
Years of loss data
Platform Intelligence For Illustrative Purposes Only
Risk Exposure Buydown — How Controls Reduce Financial Exposure
100%before controls
Inherent Risk
55%after controls
Residual Risk
45%by controls
Risk Mitigated
Challenges We Solve
  • Boards demand dollar-denominated risk answers, but teams only have heat maps and vulnerability counts
  • Security and finance speak different languages, making risk impossible to act on at the executive level
  • Manual risk assessments are outdated the moment they are completed
How MTM® Delivers
  • Inherent Risk modeling from 400,000+ real-world breach and claims records spanning 5+ years
  • Residual Risk and loss probability across 16 categories including ransomware and extortion
  • Dynamic, quarterly-updated risk scoring tailored to your size, industry, and geography
  • Board-ready output defensible to investors, auditors, and insurers
Our Approach

MTM® uses actuarial-grade machine learning to convert industry loss data into annualized financial risk. It accounts for company size, industry mix, and real-world threat trends to produce a precise, continuously updated view of exposure.

Why It Matters

When executives can see financial exposure in dollars, funding conversations change. Risk tolerance decisions get made with confidence, and security moves from a cost center to a strategic business function.

Why It Resonates in the Boardroom
MTM® answers the question audit chairs ask most: ‘How does this security spend protect our earnings guidance?’ Dollar-denominated risk curves replace heat maps, dramatically reducing board follow-up questions and accelerating funding approvals.
Trusted Across Industries

Your Sector. Your Scale.
Your Real Risk Exposure.

Real financial loss data from actual cyber insurance claims — filtered by your industry and company size.

Banks, credit unions, insurance carriers, investment firms, and real estate organizations
NAICS: Finance & Insurance · Real Estate · 3,296 claims in MTM® database
Top Threat Types
How Losses Break Down — by Cost Driver
$1.3M
avg  / 
$40M max
average total financial impact per event — includes response, litigation, economic losses & regulatory fines
From MTM® loss data
Source: MTM® Claims Database — 400,000+ real-world cyber insurance claims, 5-year dataset through March 2026. Figures reflect organizations matched by NAICS code, revenue band, and employee count.
Data current through March 2026 — updated bi-annually on this page. Get Current Data →

See It in Action

Get a personalized MTM® demo tailored to your organization’s risk profile and business goals.

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