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AI on AWS

Representative engagement

Secure AI Architecture Review

A production-focused architecture review for AI workloads built with Amazon Bedrock and AWS-native services.

The Challenge

What needed to be solved

The organization needed a secure foundation for enterprise AI workloads involving sensitive data, RAG, and external model access.

Consulting Approach

Designed an Amazon Bedrock architecture using serverless services, retrieval-augmented generation, least-privilege access, encryption, and audit logging.

Scope

What was reviewed

  • Amazon Bedrock integration
  • RAG and vector search architecture
  • Identity and data isolation
  • Monitoring, logging, and governance

Outcomes

What the engagement delivered

  • Defined a production-ready AI architecture
  • Improved security and governance controls
  • Created a scalable AWS-native implementation path

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