Sector · Insurance
Underwriting runs on sensitive personal and health data — and increasingly, on AI models making decisions about it.
Insurers hold some of the most sensitive personal data of any sector — health records, financial history, claims detail — while facing the same DORA and data protection obligations as banks. AI-assisted underwriting and claims triage add a fast-growing governance question: can you explain, and evidence, every automated decision affecting a policyholder?
Questions worth asking yourself
Five questions insurance teams rarely have a clean answer to
If any of these make you pause, that pause is the gap Praeferre exists to close.
USE CASE 01
“Can you show a regulator exactly which data an AI underwriting model saw, and why it made its call?”
See how — GRC AutomationUSE CASE 02
“Are your claims handlers pasting medical reports into AI tools to speed up assessments?”
See how — AI Data Leak ProtectionUSE CASE 03
“Do your reinsurance and broker partners meet your data security bar, or just claim to?”
See how — Third-Party Risk ManagementUSE CASE 04
“Is your policy administration platform tested against real attack techniques, or just scanned?”
See how — Penetration TestingUSE CASE 05
“Could you appoint a fully independent DPO tomorrow without a 3-month hiring cycle?”
See how — DPO as a ServiceStart your compliance journey
See what Praeferre would surface in your environment
A short discovery call is enough to map which of these questions are already answered — and which aren't.