The Platform Behind Insurance-Grade Cyber Decisions.
Cyberwrite is the only vertically integrated cyber intelligence platform, built from the ground up for insurance. Proprietary data collected over 15+ years. Patented ML trained on real claims outcomes. AI that converts raw intelligence into specific, defensible decisions in under 60 seconds.
Proprietary Data Powering AI-Powered Decisions.
One vertically integrated system: data, models, and AI working together to deliver specific, explainable risk decisions in seconds.
The deepest proprietary cyber risk dataset built for insurance.
This is not third-party data with a new interface. Cyberwrite built, owns, and continuously expands its own scanning infrastructure, breach database, and financial damages models. Every platform output is grounded in this proprietary foundation.
The structural advantage: Most cyber insurance AI lacks the historical depth, coverage breadth, and claims-grounded validation needed to produce decisions underwriters can trust. Cyberwrite's dataset is different in kind, not just in size. 15+ years of breach history. Risk intelligence on 320M+ companies. Financial damages models calibrated against real claims outcomes across 8 coverage types.
320M+
Companies profiled globally
15+
Years of breach & claims history
99.97%
Global business coverage
8
Coverage types modeled
Real-Time Company Intelligence
320M+ companies · Continuous scanning
What We Collect
- Full external technology stack fingerprint
- Cloud providers and SaaS platforms in use
- Open ports and exposed services
- SSL/TLS configuration and certificate status
- DNS infrastructure and email security (SPF, DKIM, DMARC)
- Dark web employee credential exposure
- Malware installed on servers
- Third-party SPOF data
How It's Used
Feeds directly into 4SEEN® risk scoring and Cyberwrite AI underwriting recommendations. Also powers the catastrophe model's dependency mapping.
Why It's Different
Coverage extends to 99.97% of companies with a registered web presence globally, including the SMB segment that enterprise-focused platforms consistently underserve.
Proprietary Breach & Incident Database
15+ years of curated records
What We Collect
- Insurance claims data
- Public breach disclosures
- Dark web intelligence
- Regulatory filings
- Industry partnerships
How It's Used
The training foundation for 4SEEN®. When 4SEEN® generates a 6.70% breach probability, that prediction traces directly to this database.
Why It's Different
15+ years of curated records means our models have seen full cyber loss cycles — not just recent trends. Predictions are validated against actual insurance outcomes.
Financial Damages Models
8 coverage types · Claims-outcome trained
What We Collect
- Fraud & Financial Theft
- Cyber Extortion / Ransomware
- Data Breach / Privacy Liability
- Business Interruption
- Incident Response Costs
- Regulatory & Legal Defense
- Privacy Violation Fines
- Third-Party Liability
How It's Used
When an underwriter sees "$96.5M total estimated loss," those numbers come from our proprietary models trained on actual claims outcomes, adjusted for the specific company's profile.
Why It's Different
Financial loss estimates are grounded in real claims outcomes — not industry loss tables or assumed severity distributions.
Credential Intelligence
Dark web & breach monitoring
What We Collect
- Dark web monitoring for exposed credentials
- Breach database cross-referencing
- Credential severity assessment
- Leading indicator of breach probability
How It's Used
Exposed credential count and severity is a leading indicator of breach probability, with validated correlation to claims outcomes from our own data.
Why It's Different
The correlation between credential exposure and subsequent claims has been validated against real insurance outcomes — not theoretical correlations.
CYBERPROFILE® Risk Signals
Patented aggregation · 99.97% global coverage
What We Collect
- Technology exposure cross-referencing
- Credential leakage correlation
- Vulnerability severity mapping
- Peer benchmark analysis
- Historical claim pattern integration
How It's Used
CYBERPROFILE® is the integration layer that turns raw data into structured risk intelligence, serving as the input layer for 4SEEN® and Cyberwrite AI.
Why It's Different
The patented CYBERPROFILE® system aggregates signals across all data dimensions into a unified risk profile covering 99.97% of companies globally.
Technology Dependency Maps
Actual cloud, SaaS, and vendor dependencies
What We Collect
- Cloud provider detection (AWS, Azure, GCP, etc.)
- SaaS platform usage identification
- Technology vendor dependency chains
- First and last detection dates
- Portfolio-wide concentration analysis
How It's Used
Directly powers our catastrophe model. When we simulate a cloud provider outage, we propagate losses through actual dependency chains, because we know which companies use which providers.
Why It's Different
This granularity enables company-level loss resolution in our catastrophe model, not portfolio-level aggregates based on assumed industry averages.
4SEEN® — Patented ML trained on real claims outcomes.
4SEEN® predicts insurance outcomes, not cybersecurity scores. It is trained on Cyberwrite's breach database and financial damages models, giving it a predictive foundation no competitor can replicate.
Inherent Risk Scoring
Per-coverage risk scores benchmarked against industry peers, trained on our proprietary claims database, not generic cybersecurity indices.
Breach Probability Prediction
AI-powered probability of a cyber incident within 12 months, combining all data signals into a single validated score.
Financial Impact Modeling
Estimated losses by coverage type including exceedance probability curves (OEP/AEP), from our own claims-outcome models.
Residual Risk Analysis
Assessment of internal security controls and their measurable effect on reducing inherent risk, validated against claims outcomes.
Peer Benchmarking
How does this company compare to similar organizations by industry, size, geography? Based on our scanning data, not self-reported surveys.
Catastrophe Correlation
Portfolio-level dependency concentration analysis identifying co-exposed risks across cloud providers, vendors, and geographies.
Vivaldi™ Orchestration Technology
Vivaldi™ coordinates multiple AI systems, from data collection agents to scoring models to LLM inference, ensuring every analysis is consistent, reproducible, and fast. A complete risk assessment is delivered in under 60 seconds.
What the platform delivers.
Three integrated capabilities: individual risk analytics, catastrophe modeling, and AI decision intelligence, all built on the same proprietary data foundation.
Cyber Risk Analytics
A comprehensive, AI-powered risk assessment on any company worldwide in under 60 seconds. Nine risk dimensions. Financial impact projections. Cyberwrite AI underwriting guidance. Used by insurers, MGAs, and brokers across 52+ countries.
- Inherent & residual risk scoring per coverage
- Breach probability and financial loss estimates
- Dark web and credential exposure
- Regulatory gap analysis (GDPR, CCPA, NIS2, DORA)
- Continuous monitoring with automated alerts
Live Risk Feed
Catastrophe Modeling
Traditional models start with scenarios. Ours starts with actual technology dependencies of every company in your portfolio. 50,000+ events simulated through real dependency chains, producing granular, company-level loss estimates.
Event-Based Architecture
Each modeled event has a specific attack vector, propagation mechanism, and impact profile.
Real Dependency Mapping
Actual cloud providers, software platforms, and vendors mapped per company, from our own scanning data.
Granular Resolution
Per-company loss estimates within portfolio-wide aggregation, because we have company-level data.
OEP / AEP Curves
Full exceedance probability output for capital modeling and regulatory reporting.
Transparent Methodology
Every modeled loss traces back to specific events, dependency chains, and vulnerabilities.
Cyberwrite AI Synthesis
Natural-language catastrophe summaries for board presentations and regulatory filings.
Cyberwrite AI — Decision Intelligence
Cyberwrite AI is trained on Cyberwrite's proprietary intelligence, not public internet data. It converts complex analytical outputs into specific, actionable, explainable decisions for underwriters, portfolio managers, and executives.
- Underwriting recommendations with confidence intervals
- Risk narrative generation for submissions and renewals
- Portfolio optimization with projected P&L impact
- Catastrophe scenario summaries in board-ready language
- Compliance gap notifications with remediation guidance
// Every Cyberwrite AI output includes:
{
"decision": "Accept",
"confidence": 0.91,
"key_factors": [...],
"suggested_conditions": [...],
"risk_narrative": "...",
// Full citation chain
"reasoning_steps": [...],
"data_sources": ["proprietary_breach_db", ...]
}
From our data. Through our AI. Into your decisions.
Cyberwrite's scanning infrastructure collects real-time data on 320M+ companies
Data is enriched with breach database records, credential intelligence, and technology dependency maps
CYBERPROFILE® aggregates signals into structured risk profiles
4SEEN® AI generates risk scores, financial impact estimates, and peer benchmarks
Cyberwrite AI synthesizes everything into underwriting decisions, portfolio actions, and executive narratives
Results delivered in under 60 seconds via portal, API, or branded reports
Available Worldwide in 7+ Languages.
Underwriters and brokers need to generate client-facing reports in local languages. Cyberwrite delivers the full platform experience in English, Spanish, Korean, Japanese, French, German, Portuguese, and more, ensuring every user can interact with the system in their native language.
English
Español
한국어
日本語
Français
Deutsch
Português
More...
Fits your workflow. Strengthens your infrastructure.
Cyberwrite deploys via cloud-hosted SaaS, API integration, or embedded modules within existing underwriting workbenches. In 8+ languages, in under 60 seconds.
REST API
Full programmatic access to risk scoring and Cyberwrite AI recommendations
Batch Processing
Bulk portfolio assessment, thousands of risks processed in hours
Single Sign-On
SAML 2.0 / OAuth 2.0 integration
White-Label
Branded risk reports for broker and insured distribution