Improving Infrastructure with Landing Zone Setup

Insurance
case study

Business Impacts

Reduced time and efforts by leveraging terraform templates

Enabled client on GCP with training and workshop sessions

Customer Key Facts

  • Country : UK
  • Industry : Insurance

Problem Context

The client is a British multinational insurance company and forms the largest general insurer and a leading life insurance and pension provider. It is also the second-largest general insurer in Canada. The client offers life insurance and savings plan services, pension plans, long-term health and accident insurance, and annuity plans. The client’s existing setup lacked a feature-rich, cost-effective environment to support the deployment of current and future ML models. To mitigate these challenges, the client sought to evaluate Google Cloud Platform offerings for various security parameters.

Challenges

  • Multi-tool environment to meet the strict regulatory compliances for GDPR, NIST, and PII
  • Lack of a feature-rich, cost effective environment to support deployment of current and future ML models
  • Lack of Google Cloud Platform support for existing setup

Technologies Used

Cloud IAM

Cloud IAM

Security Command Center

Security Command Center

Logging

Logging

Monitoring

Monitoring

Cloud Identity

Cloud Identity

VPC

VPC

Cloud Storage

Cloud Storage

BigQuery

BigQuery

Solution

  • Quantiphi assisted the client in building a highly scalable, secure, and GDPR-compliant Landing Zone on Google Cloud with added emphasis on the security and privacy best-practice controls recommended for PII data
  • The solution was implemented by leveraging Terraform templates which enabled effort reduction, automation and reduced configuration
  • Quantiphi performed technical evaluation and conducted Google Cloud workshops to educate the client about Google Cloud services

Results

  • Bulit a secure, scalable and compliant infrastructure landing zone on GCP
  • Enabled secure environment for the storage of datasets and AI/ML Models

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