Quantify the Insurance Value of Every Security Service You Deliver.

Demonstrate exactly how your security services reduce cyber insurance risk, improve client insurability, and lower premiums. Backed by proprietary data, not by claims.

The MSP Opportunity

Your clients buy security services to protect their business. But they also need cyber insurance. Until now, these two investments have been disconnected: clients cannot see how the endpoint protection you deploy or the credentials you monitor actually affects their insurance risk and premium. Cyberwrite closes that gap with before-and-after risk assessments backed by real claims-outcome data.

How Cyberwrite helps.

Before/After Risk Assessment

Quantify the measurable impact of your security services with proprietary risk scores and financial impact modeling, validated against real claims outcomes, not cybersecurity theory.

Sales Enablement

Walk into prospect meetings with a Cyberwrite risk profile already generated on their company. Create urgency with financial exposure data, not generic security pitches.

Financial Impact Modeling

Show clients their estimated annual loss exposure, breach probability, and how your services move those numbers. Typical MSP deployments show 50–70% reduction in probable loss estimates.

vCISO Reporting

Deliver board-ready cyber risk reports that demonstrate ongoing risk reduction and ROI. Cyberwrite AI translates technical posture into financial language executives understand.

Insurance Alignment

Help clients meet underwriting requirements and qualify for better terms. A Cyberwrite report showing improved risk score is objective evidence for insurers.

Cyberwrite AI Intelligence

Generate executive-ready risk narratives for any client in under 60 seconds. Available in 8+ languages for multinational MSP practices.

See how MSPs use Cyberwrite.

Request a demo to see before-and-after risk assessments on real clients.

Show clients exactly what your security services are worth.

Client Risk Profile: Before Onboarding

Inherent Risk Score34 / 100
Exposed Credentials1,240
Estimated Annual Breach Probability14.3%
Probable Annual Loss$3.8M
Insurance TierRefer / Conditional

Client Risk Profile: 6 Months Post-Deployment

Inherent Risk Score91 / 100 ↑57
Exposed Credentials218 ↓82%
Estimated Annual Breach Probability5.1% ↓64%
Probable Annual Loss$1.1M ↓71%
Insurance TierAccept, Standard Terms

The result your client cares about: A 71% reduction in probable annual loss exposure, a transition from conditional to standard insurance terms, and a documented ROI on their security investment. Generated from Cyberwrite's proprietary data - not self-reported security surveys.

Use Cyberwrite reports as your most powerful sales tool.

Walk into a prospect meeting with a Cyberwrite risk assessment already generated on their company. Show them, before you have sold anything, what their current cyber exposure looks like: exposed credentials, technology vulnerabilities, estimated financial losses.

Then show them the projected profile after your services are deployed. This is how you close security deals with CFOs, not just IT managers.

Pre-sales prospecting

Run instant assessments on target accounts. Walk in with a personalized risk profile that creates urgency before the first conversation.

Board-level reporting

Cyberwrite AI translates technical risk data into financial language. Estimated annual loss exposure, sector percentile ranking, coverage recommendations.

QBR differentiation

Present before-and-after risk scores at quarterly business reviews. Make your value measurable, not assumed.

Insurance introductions

Help clients qualify for better cyber insurance terms. When your services move a client from 74 to 41 risk score, that translates directly to lower premiums.

vCISO deliverables

Deliver branded, board-ready cyber risk reports that demonstrate ongoing risk reduction and justify your engagement.

Competitive differentiation

Your competitor cannot show a client a $2.7M reduction in probable loss exposure. You can, because your reports are backed by proprietary claims-outcome data.