Building a HIPAA-ready generative AI architecture for healthcare on AWS

This article describes a comprehensive, layered HIPAA-ready architecture for healthcare generative AI on AWS using defense-in-depth compliance controls across seven layers.

• Edge protection with Route 53, CloudFront, AWS WAF, and Shield blocks malicious traffic before reaching applications
• HIPAA-eligible platform foundation establishes BAA coverage, private network routing via PrivateLink, and customer-managed KMS encryption
• Amazon Bedrock Guardrails detects and redacts ePHI, blocks harmful content, and validates clinical responses are grounded in source documents
• AWS HealthLake stores standardized FHIR R4 clinical data with automatic terminology normalization for verified patient context
• Grounded RAG pipeline with Amazon Bedrock Knowledge Bases retrieves relevant documents and blocks ungrounded clinical statements
• Amazon Bedrock AgentCore provides session isolation, authentication, policy-based access control, and audit-ready observability traces
• Governance layer uses immutable S3 storage, CloudTrail data event logging, Athena for audit queries, CloudWatch dashboards, and GuardDuty threat detection
• Session identifiers correlate audit trails across CloudTrail, AgentCore traces, Guardrail evaluations, and HealthLake access records

The layered architecture enables healthcare organizations to adopt generative AI with confidence that patient data is protected, clinical outputs are grounded in verified records, and comprehensive audit trails support HIPAA compliance reporting.