ZS Associates has developed a secure, ad-hoc analytics platform using Amazon SageMaker, designed to balance developer agility with strict compliance requirements for regulated industries like healthcare. The platform, serving over 1,000 daily users, employs a multi-tenant architecture with isolated SageMaker domains and a three-tier IAM role structure to ensure granular control and adherence to the principle of least privilege. By integrating security measures such as internet-free mode, encrypted storage, and real-time package scanning, ZS has successfully democratized machine learning access while maintaining robust data protection and operational efficiency. AI
IMPACT Enables secure and compliant use of ML tools in regulated industries, potentially accelerating adoption.
RANK_REASON This is a case study of a company using an existing AI platform (Amazon SageMaker) to solve a specific business problem, rather than a release of new AI technology.
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- Abhishek I S
- Amazon CloudTrail
- Amazon Elastic Container Registry
- Amazon Elastic File System
- Amazon S3
- Amazon SageMaker
- Amazon SageMaker Studio
- Amazon Virtual Private Cloud
- AWS
- AWS CodeCommit
- AWS Identity and Access Management
- AWS Key Management Service
- CrowdStrike
- JFrog Artifactory
- Kiran Dhamane
- Mayur Ghodekar
- Splunk Inc.
- ZS Associates
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