Praeferre/Sectors/Insurance
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?

RELEVANT FRAMEWORKS DORA GDPR ISO/IEC 27001 HIPAA
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 Automation
USE CASE 02

“Are your claims handlers pasting medical reports into AI tools to speed up assessments?”

See how — AI Data Leak Protection
USE CASE 03

“Do your reinsurance and broker partners meet your data security bar, or just claim to?”

See how — Third-Party Risk Management
USE CASE 04

“Is your policy administration platform tested against real attack techniques, or just scanned?”

See how — Penetration Testing
USE CASE 05

“Could you appoint a fully independent DPO tomorrow without a 3-month hiring cycle?”

See how — DPO as a Service
Common questions

Questions we get asked

The ones this page is built around are DORA, GDPR, ISO/IEC 27001 and HIPAA. Praeferre monitors all of them from a single engine, alongside anything else on the frameworks list and your own internal policies, so you are not running a separate programme per regulation.

Usually not in intent but in evidence. The questions above are the ones that tend to cause a pause — for example: “Can you show a regulator exactly which data an AI underwriting model saw, and why it made its call?” Closing that kind of gap, and being able to show it is closed, is what the platform is for.

Most often GRC Automation, AI Data Leak Protection, Third-Party Risk Management, Penetration Testing and DPO as a Service — the modules the questions above map to. They share one data model and one dashboard, so evidence gathered for one framework counts towards the others.

Yes. Custom and internal frameworks are modelled in the same engine as the statutory ones, so an internal standard, a contractual commitment to a customer or a sector code of practice is monitored and evidenced the same way.

Start 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.