Our Data. Our AI. Your Decisions.

Cyberwrite turns cyber risk into a number our users can act on. Company-specific, AI-driven, delivered in seconds. From SMBs to dual-listed enterprises, we give insurance and risk professionals the financial clarity to underwrite, advise, and quantify risk with confidence.

Cyberwrite AI Financial Exposure Analysis product screenshot
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Cyber Rendezvous at the Lloyd’s Old Library

16 October 2026Lloyd’s of London
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Trusted by carriers, reinsurers, and brokers across 52 countries

LLOYD'S
Samsung
MAPFRE RE
Howden
Markel
HSB
Trucordia
Navacord
CRC Group
Clearwater

See how leading insurers, reinsurers, and brokers underwrite cyber risk with Cyberwrite.

Read Customer Success Stories

Cyber insurance needs data that doesn't exist elsewhere, and AI engineered to use it.

Carriers lack company-level visibility. Brokers can't differentiate on commodity reports. Reinsurers accept portfolio exposure without transparency. Cyberwrite provides both the data and the AI to close all three gaps.

Third-Party Data Only

Fragmented data feeds, no AI layer, human interpretation required. Generic outputs that every competitor can replicate.

Generic AI Only

Models built on public or licensed data. Without proprietary training data, outputs are unreliable for insurance decisions.

Cyberwrite: Proprietary Data × Purpose-Built AI

Owned data flows through owned AI into clear decisions with confidence intervals. Exceptionally difficult to replicate.

Data is the foundation. Modeling is the differentiator.

Cyberwrite operates a curated dataset covering 320M+ companies, built from a combination of proprietary collection, licensed sources, and open intelligence. Every input is normalized, validated, and enriched within our infrastructure before feeding our cyber risk and catastrophe models. The result is analytics built on data we control, not data we resell.

320M+

Real-Time Cyber Risk Intelligence

Our own scanning infrastructure continuously assesses 320 million companies worldwide. For each company, we detect the full technology stack (full external technology stack for a typical enterprise), identify exposed credentials, map cloud dependencies, assess vulnerability posture, and monitor email security configurations. This is not a third-party feed. It is our data.

15+ Years

Proprietary Breach & Incident Database

15+ years of curated cyber breach and incident data sourced from insurance claims, public disclosures, dark web intelligence, and industry partnerships. This is the training foundation for 4SEEN®. Most cyber analytics vendors rely on the same licensed third-party data feeds to train their models. Cyberwrite's 15-year breach and claims database was built and is owned by us.

8 Types

Financial Damages Models

Proprietary models for estimating financial losses per coverage type: data breach, ransomware, business interruption, funds transfer fraud, incident response, regulatory fines, privacy violations, and third-party liability. Trained on actual claims outcomes, not industry averages. When our report shows $96.5M total estimated loss, those numbers come from our own data.

99.97%

CYBERPROFILE® Risk Signals

Our patented CYBERPROFILE® system aggregates and correlates risk signals into a unified risk assessment. It cross-references technology exposure, credential leakage, vulnerability severity, peer benchmarks, and historical claim patterns, all from Cyberwrite's own data sources. Coverage extends to 99.97% of companies with a registered web presence globally. Risk scores grounded in real insurance outcomes, not generic cybersecurity metrics.

Key Differentiator: Most AI vendors license data from third parties and build models on top. Cyberwrite generates its own proprietary data and models, trains its own AI on our financial ML models, and delivers the results through its own LLM customized solution. This vertical integration, from data collection to AI inference to decision output, is what makes Cyberwrite exceptionally difficult to replicate.

AI is only as good as the data it learns from. Ours learns from data no one else has.

4SEEN® and Cyberwrite AI are not built on generic datasets or public information. They are trained on Cyberwrite's proprietary data: the breach database, the financial damages models, and the real-time risk signals from hundreds of millions of companies we scan ourselves.

4SEEN® predicts which companies will file cyber insurance claims, because it was trained on actual claims outcomes from our own breach database.

Cyberwrite AI generates underwriting recommendations, because it understands how specific risk indicators correlate to financial losses in our proprietary data.

Our catastrophe model simulates real-world events, because it uses actual technology dependencies we've mapped, not assumed industry averages.

The result: decisions grounded in proprietary intelligence built over 15+ years, not available from any third-party provider.

Decision Outputs

Underwriting DecisionsBranded Broker ReportsPortfolio AnalyticsCatastrophe NarrativesExecutive Risk Summaries

Cyberwrite AI: Purpose-Built LLM

Trained on proprietary cyber insurance data

4SEEN® AI Analytics

ML models trained on claims outcomes

CYBERPROFILE® Signal Aggregation

Patented risk signal correlation

Cyberwrite Proprietary Data: The Foundation

Real-Time Risk Intel (320M+ co.)
Breach & Incident DB (15+ yrs)
Financial Damages Models
Credential Intelligence
Technology Dependencies
CYBERPROFILE® Signals
Platform Architecture

From Proprietary Data to AI-Powered Decisions.

Cyberwrite turns cyber risk into a number our users can act on. Company-specific, AI-driven, delivered in seconds. From SMBs to dual-listed enterprises, we give insurance and risk professionals the financial clarity to underwrite, advise, and grow with confidence.

Cyberwrite AI architecture — 4SEEN and Cyberwrite AI converting proprietary data into underwriting decisions, portfolio analytics, risk reports, and executive insights

Click image to enlarge

One platform. Every role in cyber insurance.

Whether you write risk, distribute it, or reinsure it, Cyberwrite's proprietary data and AI deliver outputs tailored to your workflow.

Carriers & Underwriters

Complete risk assessment with AI-powered accept/refer/decline recommendations, suggested pricing, and conditions, in under 60 seconds per submission. Reduce time-to-decision from hours to minutes.

See Underwriting Solutions
Brokers

Generate branded, client-ready cyber risk reports for any company worldwide, with financial loss estimates, risk benchmarks, and coverage recommendations in your client's language. Differentiate with data your competitors cannot access.

See Broker Solutions
Reinsurers

Company-level visibility into ceded portfolios. Catastrophe modeling built on actual technology dependencies. AI-generated exposure narratives for regulators and capital providers.

See Reinsurer Solutions

See the intelligence behind every decision.

When a carrier, broker, or reinsurer enters a company into Cyberwrite, they receive a comprehensive intelligence report in under 60 seconds, tailored to their role. Underwriters get accept/refer/decide guidance. Brokers get branded, client-ready reports. Reinsurers get company-level portfolio analytics.

Inherent Risk Score

31 / 100

Industry Avg

33

Technologies Detected

89

ASP.NET, Azure, WordPress…

Exposed Credentials

694

Dark web & breach DBs

Open Ports

2

With security implications

Subdomains Mapped

150

Full digital footprint

Financial Loss Estimate by Coverage Type

Fraud & Financial Theft$1.8M – $6.0M
Cyber Extortion$18.5M – $24.7M
Data Breach$2.7M – $5.8M
Business Interruption$13.9M – $29.4M
Incident Response$2.2M – $3.0M
Regulatory & Defense$1.1M – $4.4M
Privacy Violation$4.8M – $7.9M
Third-Party Liability$7.3M – $15.4M
Total Estimated Loss$96.5M
Probable Loss$59.1M

This level of intelligence, covering technology exposure, credential risk, financial impact modeling, and coverage-specific loss estimation, is generated entirely from Cyberwrite's own data. No third-party feed provides this. No competitor produces this.

From proprietary data to AI-powered decisions. One platform.

Cyberwrite controls the entire intelligence chain, from data collection through AI analysis through catastrophe modeling to LLM-powered decisions. This vertical integration is our moat.

Layer 1

Proprietary Data Assets

Our own scanning infrastructure, breach database, financial damages models, and CYBERPROFILE® signals. The foundation everything else is built on.

Layer 2

4SEEN® AI Analytics

Patented machine learning trained on our proprietary claims data. Predicts insurance outcomes, not cybersecurity scores.

Layer 3

Catastrophe Modeling

50,000 stochastic events · 250,000-year horizon · ~18.75M scenarios. Simulated on actual company data: technology dependencies, security postures, digital supply chains. OASIS financial model. Ingests Open Exposure Standard, outputs Open Results Standard. Simulation-based — every individual sim available in output.

Layer 4

Cyberwrite AI Decision Layer

Purpose-built LLM trained on our proprietary intelligence. Delivers decisions, not summaries.

Layer 5

Delivery & Integration

Reports, APIs, batch processing, and white-label, in 8+ languages, in under 60 seconds.

Available in 7+ languages worldwide

EnglishEspañol한국어日本語FrançaisDeutschPortuguês

Built for every decision-maker in cyber insurance.

320M+

Companies with real-time cyber risk data

15+ yrs

Years of proprietary breach & incident data powering our AI

80,000+

Catastrophe modeling events based on real company data

<60 sec

Seconds to full intelligence report with financial impact

52

Countries where Cyberwrite is deployed

What industry leaders say.

"Cyberwrite's platform has transformed how we evaluate cyber risk across diverse markets and industries for small and mid-size businesses. Our underwriters can now quantify factors that were previously difficult to measure in real-time for any business in local language."

Frederik Wulff

CEO

Markel Europe

"Cyberwrite enables the collection and analysis of critical real-world data to quantify catastrophe exposure across entire books of business, delivering real-time, on-demand insights into systemic cyber risk."

Sie Lau

Head of Cyber Insurance

Samsung

"Cyberwrite's real-time data quality and depth of analysis have transformed how we assess cyber risk. The granularity of company-level intelligence is unmatched in the market."

Dong-Joo Lee

Cyber Underwriting TF Lead

Samsung Fire and Marine Insurance

"From a client perspective Cyberwrite provides very informative, actionable intelligence. It also benefits carriers because clients have more information about how to reduce risk and avoid a claim."

Tyler O'Connor

Broker and Co-Director, Cyber and Technology Practice Group

CRC Group

"Cyberwrite's platform is easy to use, intuitive, and highly accurate. The addition of Cyberwrite AI has made underwriting faster and more informed, providing critical data for any cyber insurance deal."

Warren Poetzing, RPLU

Vice President, Professional Lines

Co/action Specialty Insurance Group

We own the data AND the AI.

CapabilityCyberwritePure Analytics VendorsAdapted Cat Model Vendors
Proprietary breach & claims database
Own scanning infrastructure (320M+ co.)partial
Proprietary financial damages models (from real claims)
AI/LLM trained on proprietary data (4SEEN® + Cyberwrite AI)
Sub-60-second comprehensive reports
Event-based cat modeling on live datascenario
SMB through enterprise coverageenterpriseenterprise
Transparent, explainable outputslimited
Insurance-native designpartialadapted
Multi-language (8+)limited
NEW

Cyber Score: AI-Powered Cyber Hygiene Rating

Instantly assess any organization's cybersecurity posture with Cyberwrite's AI-driven Cyber Score.

Cyber Score is an AI-supported scoring system that evaluates an organization's cyber hygiene across multiple risk dimensions, with no installation or agent required. Powered by Cyberwrite's proprietary machine learning models, it continuously analyzes external threat signals, security configurations, and vulnerability indicators to deliver a real-time, data-driven assessment.

Used by insurers for underwriting decisions, by brokers to assess and communicate client risk, and by businesses to benchmark and improve their own security posture. Non-intrusive, always up to date, and trusted by leading insurance carriers and brokers worldwide.

External Threat Exposure

Open ports, exposed services, and attack surface indicators.

Security Configuration

Email security, encryption protocols, and DNS hygiene.

Vulnerability Indicators

Known CVEs, software versions, and patch posture signals.

Credential & Breach Risk

Dark web exposure, leaked credentials, and incident history.

Cyber Hygiene Score

72/ 100
Good Hygiene Posture

Example · Not real data

Threat Exposure68
Security Config81
Vulnerability Risk74
Credential Exposure61
Samsung C-Lab
Gartner
Frost & Sullivan
Citi
Industry Recognition

Award-Winning Intelligence.

Intelligent Insurer
Awards USA 2026

Cyber Underwriting Technology
Provider of the Year

Highly Commended

CYBERWRITE

"
The innovative platform combines AI underwriting with analytics, which delivers valuable results to any risk manager, looking at portfolio aggregation in a very volatile market.

Judges Panel

Intelligent Insurer Awards USA 2026

See what proprietary data and purpose-built AI deliver together.

Request a demo. We will run a live analysis on a real company during the call so you see the depth of our data and the precision of our AI firsthand.