CAIN Studio | Actuarial Cyber Insurance Underwriting Protocol

🏦 Actuarial Cyber Insurance Underwriting Protocol

Demo risk-scoring model for autonomous AI agent fleets (not an insurance product). Backed by Moat #5 (Predictive Trust) and Moat #7 (Autonomous Control Loop), CAIN continuously assesses Agent Volatility (AVI) and Maximum Probable Loss (MPL) to issue signed, self-assessed risk reports. They are not accepted by, or submitted to, any insurer, and no premium effect is claimed.

Self-assessed actuarial model. Not affiliated with, authorized by, or certified by Lloyd's, Munich Re, or any insurer.

Illustrative placement targets (no agreement in place): 🏛️ Lloyd's Syndicate 1984 🌐 Munich Re AI Syndicate 🛡️ Beazley Digital AI 📊 Marsh McLennan Placement

Underwriting Credit Score

— / 1000

demo model: press Run to compute

Illustrative Discount (model output, not an insurer offer)

—

illustrative only: no insurer has offered this

Agent Volatility Index (AVI)

—

computed by the demo model on Run

Maximum Probable Loss (MPL)

—

demo model output, not a loss estimate

⚙️ Fleet Underwriting Parameters

Real-Time Evaluation

Enterprise Tenant Scope:

Insured Agent Fleet Identifier:

Baseline Cyber Liability Premium ($ / year):

$250,000

Net Insured Premium After Discount: — (press Recalculate)

WORM Evidence Audit Status: not assessed (demo)

Statutory Standards: none: no compliance assessment by any body

📜 Signed Self-Assessed Risk Report

Click "Run Underwriting Rating" or "Issue Signed Certificate" to generate a signed self-assessed risk report...