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Reinsurance CAT Modeling AI

CAT model AI update — reinsurer owns reserve miss

NAIC catastrophe modeling AI
Regulatory exposure — commonly overlooked:
Cedents trust model — cannot reproduce AI assumption chain · Federal agencies disagree on AI approach — but examiners agree internal logs are insufficient.

TAM / Exposure

$600B global reinsurance

Insurance lines

E&O · Cyber · Sector liability

Exhibit authority

US Federal Exhibit — Reinsurance CAT Modeling AI External Validation Pack

Global leaders

Munich Re · Swiss Re · RMS · NAIC · FTC · EEOC · CFPB · NIST

Ian / Ida lessons

Model miss = solvency event — AI model change control critical.

Munich Re aiSure

Needs behavioral data Velaru asymmetry feed provides

[United States (Federal)] Agency pincer

FTC, CFPB, EEOC, and DOJ all active on AI — one receipt chain satisfies cross-agency discovery.

[United States (Federal)] Federal preemption fight

State laws filling void — multistate operators need jurisdiction-tagged receipts.

[Text / Chat] Modality hook

Baseline — all frameworks apply to text decisions.

7 mandate layers (live)

Regulatory Clock Countdown to operative regulatory deadline — NAIC adoption, GSE mandate, EU transposition. Open →
Domain Classifier Industry-specific SAFE/CRISIS/VIOLATION with regulatory framework mapping. Open →
Exhibit / Filing Pack Regulator-ready external validation — NAIC Exhibit D, Fannie QC, EU FRIA, FDA Part 11. Open →
Mandate Registry Enroll deployers/insureds under vertical-specific governance mandate. Open →
Bind / Action Gate ALLOW/BLOCK before consequential action — bind policy, sell loan, deactivate worker. Open →
Compliance Certificate Deployer-facing downloadable cert — forward to counsel, auditor, regulator. Open →
Actuarial / Risk Feed Anonymized asymmetry signals for pricing, reserving, reinsurance correlation. Open →
Run reinsurance_cat demo Regulatory calendar Download exhibit pack Verify independently