Crush Dollar Exposure
Metrics only matter when you can't show money.
Dollar Exposure prices your cyber risk: expected loss in dollars, by scenario, computed from your real environment and your real controls. The number the board has been asking for, with the math to defend it.
Why a number
Cassandra warned Troy. Nobody listened.
A warning without a number is just a metric, and metrics are easy to ignore. Dollar Exposure is the warning with the bill attached: what the loss costs, how likely it is, and what closing the gap is worth.
How it's computed
From your environment to a defensible number
01 · Model the scenarios
Loss scenarios built from your stack, your frameworks, and the threats that target your industry. Not a generic catalog.
02 · Price the loss
Frequency and magnitude, computed against your controls and industry loss data, expressed as annualized expected loss in dollars.
03 · Decide in dollars
Rank the gaps by what they cost. Fund the fixes by what they save. Report it in the language the board already speaks.
Dollar Exposure runs inside the Crush Platform and draws on the same validated program data as everything else: your assessments, your evidence, your stack. One system of record, now with a dollar sign.
What you get
Board-ready, auditor-legible
Expected loss
Annualized, by scenario, with the assumptions shown. A number you can defend, not a score.
Gap pricing
Every gap ranked by the exposure it carries, so remediation is a budget conversation.
Board reporting
The one-pager that answers "what's our dollar exposure?" before it's asked.
Included with the platform. Not a module. Not an upsell.
Questions
Straight answers
What is Dollar Exposure?
Dollar Exposure is cyber risk quantification from Crush Security. It prices cyber risk as expected loss in dollars, by scenario, computed from your real environment and your real controls. It is included with the Crush Platform.
What is cyber risk quantification (CRQ)?
Cyber risk quantification expresses cyber risk in financial terms, typically annualized expected loss in dollars, instead of qualitative scores or maturity metrics. That lets security decisions be made and defended the way other business decisions are.
How is the number computed?
Loss scenarios are built from your stack, your frameworks, and the threats that target your industry. Frequency and magnitude are estimated against your controls and industry loss data, then expressed as annualized expected loss with the assumptions shown.
Is it a separate product or module?
No. It runs inside the Crush Platform and draws on the same validated program data as the rest of the platform. It is part of every engagement, never sold separately.