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Your risk score isnt a dollar amount. Ours is.

With more than 300,000 curated commercial cyber loss events and $3 trillion in tracked financial losses, Zywave gives CRQ platforms and enterprise security vendors the data to quantify cyber risk in dollars and deliver results boards, CFOs, and regulators can use.
300K+
Curated cyber loss events
$3T+
In tracked financial outcomes
#1
Commercial loss data source in North America
15K+
Insurers, MGAs, agencies & brokerages trust Zywave
THE CURRENT STATE OF

CRQ platforms need better loss data

Risk scores arent balance sheet items

Boards, CFOs, and regulators don't speak in CVSS scores or heat maps. They speak in dollars. CRQ outputs that can't convert probabilistic risk into a defensible financial exposure figure are losing deals to platforms that can.

Modeled proxies don't hold up to scrutiny

When a client asks "where does this $4.2M figure come from?" — the answer needs to be empirical claim data, not a calibrated assumption. Single-book or proprietary datasets introduce bias that surfaces under audit.

SEC rules, DORA, and NIS2 demand audit-grade methodology

SEC disclosure requirements, DORA, and NIS2 are raising the bar for financial-grade cyber risk reporting. Quantitative disclosures require a defensible chain of evidence from loss data to financial output. The platforms backed by real, auditable loss data will set the standard.
THE SOLUTIONS

What Zywave Loss Insight Delivers

Zywave is the data behind the industry's most credible cyber risk quantification workflows. Our data captures the full arc of a cyber event — from initial business interruption through long-tail legal and regulatory settlements — segmented by industry, revenue band, and attack vector. Market-wide, independently sourced, and built specifically for the commercial insurance market

Together, our cyber loss data and commercial benchmarking data answer the two questions every CRQ output must address: What is my financial exposure? And am I covered enough to absorb it?

Loss actualization

Replace modeled assumptions with real claim outcomes segmented by industry, revenue band, and attack vector. When platforms ground their outputs in Zywave data, risk scores become dollar figures. Probable loss estimates become defensible.

Actuarial-grade benchmarking

Let clients compare their exposure against real peers in their vertical — not aggregate market averages. Frequency, severity, and long-tail legal exposure across industry and company size.

Insurance program benchmarking

Premiums, Limits & Retentions
Once a client knows their exposure in dollar terms, the next question is whether their coverage program is adequate. Zywave's commercial benchmarking data provides peer-level insight into premiums, limits, and retentions by industry and company size — giving CRQ platforms the data to close the loop between quantified risk and coverage sufficiency. Most vendors can source loss magnitude data. Peer benchmarking on program structure is harder to come by.

Underwriting alignment

Output that maps directly to how cyber insurers evaluate and price risk — reducing friction in the insurance procurement workflow and strengthening the case for coverage adequacy.

Regulatory defensibility

Provide clients an auditable chain of evidence from loss data through financial disclosure — meeting the methodology standard demanded by SEC cyber rules, DORA, and NIS2.

Scenario validation

Calibrate ransomware, BEC, and third-party breach scenarios against actual claim frequency and severity — not hypothetical models.

Flexible data integration

Zywave's commercial benchmarking data is available via API today. Cyber loss data is delivered via flexible formats designed to fit your existing analytics environment and model architecture. Integration paths are scoped to your platform's needs.

Insurance program benchmarking Premiums, Limits & Retentions

Find any account, onboard new clients, update records, and manage contacts in a single conversational prompt. No menu navigation. No duplicate entries. Your AI confirms every action before executing. Your book stays clean.

Insurance program benchmarking Premiums, Limits & Retentions

Find any account, onboard new clients, update records, and manage contacts in a single conversational prompt. No menu navigation. No duplicate entries. Your AI confirms every action before executing. Your book stays clean.
Partnership Model

How a data partnership works

  • Benchmarking Data API — available today — embed premiums, limits, and retentions data directly into your platform or quantification engine
  • Cyber loss data — delivered via flexible integration paths scoped to your analytics environment and model architecture
  • White-label options — for client-facing risk deliverables and reports
  • Co-sell arrangements — for cyber insurance workflows where quantification output feeds coverage recommendations
  • Flexible annual licensing — that scales with platform deployment and data usage
Why this matters, now

The market is moving to dollar-denominated risk

  • SEC cyber disclosure rules require financial-grade risk reporting. Zywave data provides the evidentiary foundation
  • DORA and NIS2 are raising the bar for structured, dollar-denominated assessments across European markets
  • Boards now ask "what is our financial exposure?"
    CRQ platforms that can answer in dollars win the deal
  • More than 15,000 insurers, MGAs, agencies, and brokerages already trust Zywave — including all Top 100 U.S. insurance brokerages. The same depth of data now available to platforms quantifying cyber risk.

Join us in New York This October

The conversation continues at Zywave's Cyber Risk Insights Conference, October 29, 2026 in New York City. Cyber and insurance leaders gather for a full day of sessions on evolving cyber threats, market developments, and the data driving smarter risk decisions. Risk managers, CISOs, and full-time insurance buyers attend at no charge.

Stop scoring risk. Start pricing it.

Zywave is the data behind the industry's most credible cyber risk quantification workflows. If your platform quantifies cyber risk, our data is the layer that makes the number real. Let's talk about what a data partnership looks like.

See the Data Set

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