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🏦 Actuarial Cyber Insurance Underwriting Protocol

Mathematical risk underwriting protocol for autonomous AI agent fleets. 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
948 / 1000
Premier Tier (self-assessed)
Illustrative Discount (model output, not an insurer offer)
40.0%
illustrative only: no insurer has offered this
Agent Volatility Index (AVI)
0.042
Ultra-Stable Execution Envelope
Maximum Probable Loss (MPL)
$15,400
Blast Radius Contained Fail-Closed
⚙️ Fleet Underwriting Parameters
Real-Time Evaluation
$250,000
Net Insured Premium After Discount: $150,000 / yr
WORM Evidence Audit Status: ✓ 100% Cryptographically Verified
Statutory Standards: EU AI Act Art. 14/72 & ISO 42001
📜 Signed Self-Assessed Risk Report
Click "Run Underwriting Rating" or "Issue Signed Certificate" to generate a signed self-assessed risk report...