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Insurance verified Verified Outcome TRL 9

Attribute-Based Access Control (ABAC) for Analytics

domain Client: A multinational insurance corporation handshake Provider: Databricks / Immuta schedule Deploy: Q3 2021 (Scale)
94 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To democratize data access for actuaries without violating global privacy laws, the insurer implemented Attribute-Based Access Control (ABAC). Instead of creating thousands of static views for different roles, a dynamic policy engine creates masking rules on the fly based on the user's attributes (e.g., 'If User Country = Germany, mask PII').

rate_review Analyst Verdict

"The modern standard for scalable governance. Role-Based Access Control (RBAC) explodes in complexity at enterprise scale (Role Explosion). ABAC allows for a manageable set of logic policies that adapt dynamically, essential for multinational compliance."

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

warning The Challenge

Actuaries needed access to global claims data for risk modeling. However, GDPR, CCPA, and regional laws restricted cross-border viewing of PII. Creating separate data copies for every jurisdiction was expensive and created data swamps.

psychology The Solution

The firm deployed Immuta on top of Databricks. They defined policies once (e.g., 'Mask names for non-HR users'). The policy engine intercepts the query at runtime and dynamically masks columns based on the user's metadata, ensuring a German analyst sees only anonymized US data.

settings_suggest Technical & Deployment Specs

Integrations
Databricks, Active Directory
Deployment Model
SaaS
Data Classification
Claims Data / PII
Estimated TCO / ROI
Medium
POC Summary (2020-01-01 to 2021-01-01)

"Pilot with Health Solutions division."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Policy Complexity Medium Policy-as-code unit testing.
Query Latency Low Native integration pushes logic down to Spark engine.

trending_up Impact Trajectory

Audited value realization curve

Consolidation of hundreds of roles into <20 policies Verified Outcome
Primary KPIZero data replication for compliance views
Audit CycleInstant compliance with new regional laws via policy update

policy Compliance & Gov

  • Standards: GDPR, HIPAA
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Claims Data / PII

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A multinational insurance corporation without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-878
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-878

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