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Insurance verified Verified Outcome TRL 9

Automated Privacy Governance (GDPR)

domain Client: A multinational insurance and asset management firm handshake Provider: Informatica / BigID schedule Deploy: Q2 2019 (Compliance)
86 Impact
Enterprise Ready
Evidence Score: 4/10
Strength: Medium

Executive Summary

ANALYST: COI RESEARCH

To comply with GDPR across its European entities, the insurer automated its data discovery and deletion processes. They deployed scanning tools to identify PII (Personally Identifiable Information) across unstructured documents and structured databases, linking them to a central governance policy that automates 'Right to be Forgotten' requests.

rate_review Analyst Verdict

"Operationalizing privacy. Manual deletion of customer data is impossible at scale in insurance (where data lives in claims PDFs, emails, and mainframes). Automation is the only path to compliance without hiring an army of admins."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

GDPR mandates that companies must delete customer data upon request (Article 17). The insurer had data scattered across legacy mainframes and millions of scanned claim forms. They didn't know where all the PII was located.

psychology The Solution

Deployed a data discovery platform (BigID/Informatica) to scan the estate and build a 'PII Inventory'. Governance policies defined retention rules. APIs orchestrated the deletion or anonymization of data across systems when a request was received.

settings_suggest Technical & Deployment Specs

Integrations
Claims Systems, CRM
Deployment Model
Hybrid
Data Classification
PII / Financial
Estimated TCO / ROI
Medium
POC Summary (2017-01-01 to 2018-05-25)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Shadow IT Medium Network scanning to find unauthorized databases.
False Deletions High Human approval step for critical record deletion.

trending_up Impact Trajectory

Audited value realization curve

Discovery of PII across petabytes of data Verified Outcome
Primary KPIReduction in DSAR response time
Audit CycleRisk mitigation of GDPR fines

policy Compliance & Gov

  • Standards: GDPR
  • Maturity (TRL): 9
  • Evidence Score: 4/10
  • Data Class: PII / Financial

folder_shared Verified Assets

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Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for A multinational insurance and asset management firm without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-874
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-874

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