Case Study Insurance
Aflac Secures Cloud Migration and Analytics with Protegrity, Snowflake, and AWS
Aflac, the leading provider of supplemental insurance in the U.S., partnered with Protegrity and Snowflake on AWS to extend data protection into cloud analytics. By moving to a more flexible cloud-ready architecture, Aflac reduced reliance on legacy infrastructure, improved scalability, and supported new analytics initiatives while maintaining established security controls.
Analytics
Modernization
12,000
Employees
$18B
Revenue
AI/ML
Initiatives
01 / The Challenge
Extending data protection into cloud analytics.
Aflac needed to move business intelligence and analytics workloads to the cloud without weakening security, slowing project momentum, or increasing operational complexity. The team wanted to preserve established data protection policies while supporting larger data volumes, faster analytics, and new cloud-based initiatives.
Legacy Infrastructure Limits
Aflac’s existing data security gateway architecture was not designed for the elasticity expected in modern cloud environments, creating concerns around performance and scalability.
Scaling and Cost Pressure
Supporting cloud-scale workloads with fixed infrastructure would have increased operational expense and limited the flexibility Aflac needed from its cloud migration.
Analytics Momentum at Risk
As the business intelligence team moved analytics to the cloud, Aflac needed to avoid delays, roadblocks, or technical shortfalls that could affect a high-visibility modernization effort.
Security Continuity Requirements
Aflac needed to maintain trusted data protection policies as sensitive data moved into Snowflake on AWS and other cloud-based workflows.
02 / The Strategy
Building a cloud-ready data protection architecture.
Aflac worked with Protegrity to support a scalable architecture using Snowflake on AWS and AWS Lambda. The solution helped extend established data protection policies into cloud analytics workflows while reducing dependency on legacy on-premises infrastructure.
Snowflake on AWS
Aflac used Snowflake on AWS to support scalable cloud analytics while continuing to apply Protegrity data protection controls.
AWS Lambda Serverless Processing
AWS Lambda helped Aflac respond to changing data volumes with more flexible, cloud-native processing instead of relying on fixed legacy infrastructure.
Policy Continuity Across Environments
Protegrity helped extend existing data protection policies into cloud workflows, supporting continuity for business, analytics, and security teams.
Cloud Migration Efficiency
The architecture reduced operational complexity and supported Aflac’s move toward secure cloud-based analytics and data initiatives.
Protegrity included us early in the design and architecture for integrating tokenization with our Snowflake partners. We were engaged hand in glove through early adoption and focused on cloud-native solutions.
Matthew Hughes
03 / The Impact
Cloud scalability without losing data protection control.
Aflac’s cloud migration created a more scalable foundation for protected analytics while preserving the security posture its teams already trusted. With Protegrity, Snowflake, and AWS, Aflac could reduce legacy constraints and support new cloud-based data initiatives.
Business Outcomes
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Improved Usability End users gained better access to cloud-based tools, supporting more efficient analytics and broader data use.
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Reduced Operational Costs Moving secure data processes away from legacy on-premises systems helped reduce infrastructure burden and operating expense.
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Security Continuity Aflac maintained established security standards as workloads moved into the cloud, giving business and InfoSec teams continuity during modernization.
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Support for New Initiatives The cloud-ready architecture created a stronger foundation for future analytics, machine learning, AI, and cloud-based applications.
Technical Excellence
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Elastic Data Protection Processing AWS Lambda helped Aflac respond to changing data flows with a more flexible serverless model.
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Snowflake Cloud Analytics Snowflake on AWS provided a scalable analytics environment that could work with Protegrity data protection controls.
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Reduced Legacy Dependency Aflac moved away from rigid on-premises infrastructure and toward a more efficient cloud-based operating model.
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Protected Data for Advanced Analytics The integration supported exploration of cloud-based analytics, machine learning, and AI initiatives using protected data.
04 / The Advantage
Scalable security for cloud transformation.
Protegrity helped Aflac move sensitive data protection into cloud analytics workflows without forcing a tradeoff between modernization and control. By integrating with Snowflake on AWS and supporting elastic processing with AWS Lambda, Aflac created a more flexible foundation for secure cloud analytics.
Before Protegrity Implementation
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Legacy Infrastructure Limits
The existing data security gateway model lacked the elasticity required for modern cloud operations.
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Scaling Complexity
Supporting changing data volumes with legacy infrastructure would have increased cost and operational overhead.
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Analytics Delay Risk
Cloud migration plans created concerns around performance, security continuity, and project momentum.
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Security Continuity Requirements
Aflac needed to preserve established data protection policies as analytics workloads moved into cloud environments.
With Protegrity
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Elastic Cloud Processing
AWS Lambda helped the technical team respond to changing data flows with more flexible processing.
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Snowflake Security Policy Extension
Protegrity helped Aflac carry established data protection controls into Snowflake on AWS.
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Controlled Cloud Migration
Aflac reduced reliance on legacy systems while supporting secure analytics and future cloud-based data initiatives.
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Protected Analytics Foundation
Aflac created a cloud-ready architecture that supported analytics modernization while keeping sensitive data protected by policy.