Build intelligent security for healthcare APIs with Amazon Bedrock

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If you manage Fast Healthcare Interoperability Resources (FHIR) APIs, you must balance open patient data access with strict data protection requirements. Static security rules require constant updates as clinical workflows evolve, and maintaining them manually creates compliance gaps. With Amazon Bedrock, a fully managed service that provides access to foundation models (FMs) through a single API, you can build intelligent security for your healthcare APIs. This security monitors access patterns, classifies data sensitivity automatically, and generates compliance reports in natural language. This approach can help reduce documentation effort, reduce manual rule maintenance, and adapt your security monitoring as clinical workflows change. In this post, you learn how to add context-aware security monitoring to FHIR APIs using Amazon Bedrock. First, we explain the architecture that separates security monitoring from the FHIR API request path, so you can add behavioral analysis without affecting API latency. Then we walk through implementing anomaly detection with Amazon Bedrock and Structured Outputs, with the ability to catch access patterns that static rules miss. Next, we demonstrate automated data sensitivity classification, which removes the need for hardcoded mapping tables. Finally, we show how to generate compliance reports in natural language, reducing audit preparation time. The solution uses AWS Lambda, Amazon API Gateway, AWS HealthLake, Amazon EventBridge, Amazon Cognito, Amazon Bedrock Guardrails, and Amazon Comprehend Medical. It includes an accompanying code …

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