Data Protection Accelerates Insurance Cloud-Based Analytics and AI Functionality

Case Study

A Fortune 200 insurance provider collaborated with Protegrity to modernize its data protection for cloud migration on AWS, including their Snowflake integration. The solution enhanced security, reduced friction in data analytics, and retired legacy systems, generating millions in value while protecting sensitive data.

TALK TO AN EXPERT

A Fortune 200 insurance provider with nearly 100,000 licensed sales agents and agencies worldwide recognized that their on-prem environments could not support their growth and business objectives without the right data protection. A customer of Protegrity since 2017, the insurer partnered to rethink insurance data protection, enabling in-house platforms and workflows to be modernized on AWS using new data platforms, including Snowflake.
The customer was stifled by the technical challenges of moving regulated data into a cloud environment unprotected. The customer’s analytics organization raised concerns about potential delays, roadblocks, and technical shortfalls that would jeopardize the high-visibility project’s momentum. The customer needed to:
 

  • Secure cloud environments and 3rd-party platforms consistently with a robust data protection platform 
  • Reduce friction for creating data products with sensitive data 
  • Deploy cloud data protection that supports analytics, AI, and future tools 

Technology Used: 

The Results: 

  • Highly performant and elastic insurance data protection that accelerates sensitive data projects 
  • Same robust AWS data protection in the cloud as on-prem delivered with a single platform 
  • Enabled cloud analytics to be delivered at scale, creating millions of dollars in value 
  • Reduced complexity and retired legacy systems while offering more flexibility and data protection capabilities 

Business Growth Through Customer Insights

  • Elegant, streamlined cloud data protection  
  • Resilient data security for now and future projects 

“Protegrity included us in early design and architecture for seamlessly integrating tokenization with our Snowflake data integration partners. We have been engaged hand in glove with early adoption and putting the focus on cloud-native solutions.” 

 — Client’s Security Solutions Architect 

The Solution

Working together, the customer and Protegrity architecture teams collaborated to deliver a highly performant, secure, and elastic data protection solution using Protegrity’s data protection platform. Leveraging Snowflake’s architecture and AWS Lambda functions, data protection was embedded within their data platforms, allowing new AI, analytics, and customer experience projects to deliver business value and retire legacy systems. This program continues to prove that cloud data protection is not dependent on location (on-prem or cloud) but on security strategy, enabling it to be shared and analyzed with confidence.

Immense Value in the Cloud

  • Billions of tokenized data processed weekly in the cloud 
  • Generated millions of dollars 

According to McKinsey, there is $3 trillion at stake for companies that successfully use cloud technology. Protegrity’s data protection platform protects sensitive data anywhere and everywhere, empowering organizations across the globe to use data to create better customer experiences, make intelligent decisions, and fuel innovation. 

Protegrity is the only platform that lets enterprises decide which data should be classified as sensitive and control how they safeguard that data. With Protegrity, payers and insurance providers maintain unrestricted enterprise access to all generally available data security technology, both now and in the future, including advisory services and 24/7 support. 

Contact Protegrity to find out how migrating secure data to the cloud can enable new business use cases in cloud analytics, ML, and AI.