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Business Impact

  • 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
Challenges

Technologies Used

Cloud IAM
Security Command Center
Logging
Monitoring
Cloud Identity
VPC
Cloud Storage
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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