OverviewKey StatsPlatformChallengesApproachInsights
Use Case 05CISO · CIO · CFO

Model Future State
Investments

The Question We Answer
“What will our risk posture look like after this investment, and can we prove the impact before we spend?”
See Your Industry Risk Data ↓
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Pre-Spend
Proof of Risk Reduction
Side-by-Side
Current vs. Proposed Scenarios
Optimal
Control Sequencing Engine
Platform Intelligence For Illustrative Purposes Only
Current State
$428M
Residual Risk
Loss Probability: 55%
After Proposed Investment
$374M
Residual Risk
Loss Probability: 43%
↓ $54M risk reduction  ·  12% probability improvement  ·  Modeled before spend is committed
Challenges We Solve
  • Investment requests get rejected because CISOs cannot show pre-spend proof of risk reduction
  • Roadmap decisions are driven by vendor claims rather than modeled financial outcomes
  • Finance teams have no objective way to evaluate competing security investment proposals
How MTM® Delivers
  • Side-by-side current vs. proposed investment scenario comparison in dollar terms
  • Risk reduction projections based on improved control maturity and coverage
  • Pre- and post-investment residual risk and loss probability visualizations
  • Optimal control sequencing to maximize ROI per dollar allocated
Our Approach

MTM® uses the same actuarial engine that powers current state risk modeling to project future states. CISOs input proposed investments, and MTM® models how maturity improvements and new controls shift the residual risk and loss probability curves.

Why It Matters

Forward-looking risk proof changes the funding dynamic. When CISOs can show that a proposed investment reduces residual risk by a specific dollar amount, investment requests transform from budget asks into strategic business decisions.

Built for the Roadmap Conversation
CISOs using MTM® scenario modeling walk into budget discussions with proof, not proposals. Turning ‘we should invest in X’ into ‘investing in X reduces our financial exposure by $Y’ fundamentally changes how security investments are evaluated and approved.
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

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