From Question to Decision. In Seconds.
Ask Cyberwrite AI to underwrite a risk, model remediation ROI, or generate a branded report. It reasons from proprietary data and delivers a structured, explainable decision — instantly.
Cyberwrite AIAnalysis powered by 4SEEN ML + Cyberwrite AIAsk Cyberwrite AI about any company, risk, or portfolio...Cyberwrite AI | Purpose-built LLM for Cyber Insurance | Explainable AI Decisions | Powered by CyberwriteA new category: AI-Powered Decision Infrastructure for Cyber Insurance.
The fundamental bottleneck has not changed: a human must still synthesize all information, weigh competing signals, apply underwriting guidelines, consider regulatory constraints, and arrive at a decision.
Cyberwrite AI eliminates this bottleneck. It produces specific, structured decisions:
Accept this risk at this price with these conditions, because of these factors.
Reduce exposure to this portfolio segment by this amount, with this projected P&L impact.
Flag this renewal for review because these risk indicators have deteriorated since inception.
Built on data no other LLM has ever seen.
Every general-purpose AI model (GPT-4, Claude, Gemini) was trained on public internet data. They have no access to proprietary breach databases, claims-outcome data, or real-time company scanning results.
Cyberwrite AI is different. It is purpose-trained on Cyberwrite's proprietary data assets:
15+ years of breach and incident records with financial outcomes
Real-time risk intelligence from our scanning of 320M+ companies
Claims-based financial damages models across 8 coverage types
Actual technology dependency maps, not assumed industry averages
This is why Cyberwrite AI can tell an underwriter: "Accept this risk at $42K–$48K with MFA and EDR conditions, confidence 91%." It's not guessing from generic knowledge. It's reasoning from proprietary data that validates each factor in the recommendation.
You cannot build an LLM wrapper over GPT-4, feed it third-party vulnerability data, and achieve this level of decision precision. The data underneath is what makes Cyberwrite AI a Cyber Decision Authority - not the model architecture.
Built on insurance intelligence, not general-purpose AI.
Cyberwrite AI DECISION LAYER
Cyberwrite AI LLM REASONING ENGINE
4SEEN® AI Analytics Engine
Insurance-outcome ML models
Catastrophe Modeling
50K events modeled
Proprietary Breach DB
15+ years of records
DATA INTELLIGENCE LAYER - 320M+ companies | Real-time scanning
From underwriting desks to boardrooms.
Underwriting Decisions
An underwriter receives a new submission for a mid-market technology company.
Without Cyberwrite AI
Reviews application, checks scans, cross-references guidelines, consults tables, drafts response. Time: 45–90 minutes.
With Cyberwrite AI
- Decision: Accept with conditions
- Confidence: 91%
- Suggested Premium: $42,000–$48,000
- Required Conditions: MFA enforcement, endpoint detection
- Time: Under 90 seconds
Portfolio Risk Prioritization
A CRO needs to identify the top 20 risks in a 5,000-policy cyber book.
Without Cyberwrite AI
Manual review of each policy, quarterly updates, subjective ranking.
With Cyberwrite AI
- Ranked list by deterioration score
- Specific factors per policy driving risk changes
- Recommended actions per policy
- Projected portfolio impact of actions
Catastrophe Scenario Communication
The Board asks the CRO to explain exposure to a major cloud provider outage.
Without Cyberwrite AI
Actuarial reports requiring translation into business language. Days of preparation.
With Cyberwrite AI
- Natural-language narrative with estimated losses
- Affected portfolio segments identified
- Historical context vs. CrowdStrike 2024
- Recommended reinsurance adjustments
Broker Enablement
A broker needs to present a cyber risk assessment to a CFO.
Without Cyberwrite AI
Generic PDF reports with technical jargon. Client confusion.
With Cyberwrite AI
- "Estimated annual cyber loss exposure: $2.4M"
- "72nd percentile of risk for your sector"
- Recommended minimum coverage: $5M
- Generated in under 30 seconds, in 8+ languages
The Cyberwrite AI impact.
| Dimension | Before Cyberwrite AI | After Cyberwrite AI |
|---|---|---|
| Time to underwriting decision | 45–90 minutes per submission | Under 90 seconds |
| Decision consistency | Varies by underwriter experience | Standardized with configurable guidelines |
| Portfolio risk visibility | Quarterly manual reviews | Continuous, real-time prioritization |
| Catastrophe communication | Actuarial reports requiring translation | Board-ready narratives on demand |
| Broker risk presentations | Generic PDF reports | Personalized financial-language summaries |
| Audit trail | Scattered notes and emails | Complete reasoning chain for every decision |
| Capacity to scale | Limited by headcount | Scales with portfolio without adding staff |
Clear about what we are. Clearer about what we are not.
Not a chatbot
Cyberwrite AI does not engage in open-ended conversation. It is a structured decision system.
Not a replacement for underwriters
It is a force multiplier that handles analytical synthesis so underwriters focus on judgment.
Not a generic AI wrapper
Cyberwrite AI is a purpose-trained model with domain-specific reasoning for insurance constraints.
Not a black box
Every recommendation includes a full citation chain. Compliance and audit teams can verify any decision.