CAIN-42 CAIN StudioCAIN AI Insurance & Risk Underwriting Analyst
Read an evidence-derived agent-fleet risk score, explain each factor, and tell what it does and does not support in an underwriting conversation.
Who it's for
Underwriters, brokers, risk managers and CISOs who must price or explain the risk of an AI agent fleet.
Why it's in demand
Insurers are moving AI spend into underwriting and risk selection, report a widening talent gap in underwriting, and treat AI liability as an emerging risk with little loss history. Underwriters need evidence they can read. Sources →
Exam
- Requires your Novice certificate ID
- 20 questions · 30 minutes
- 85% (17/20) to pass · server-graded
- Certificate ID C42-CAIU-…
Modules
1AI agents as an insurable risk14 min✓2Reading an evidence-derived fleet risk score (0–1000)16 min✓3No evidence, no score: fail-closed underwriting11 min✓4Proving risk reduction by replay14 min✓5What the score can and cannot support12 min✓
Built on this code
cain/insurance.pykeystone/actuary.pyplatform-gateway/cain_actuarial_notary.py