Building zero trust generative AI applications in healthcare with AWS Nitro Enclaves

This article demonstrates building secure, privacy-preserving generative AI applications in healthcare using AWS Nitro Enclaves with Google MedGemma 4B medical LLM.

• AWS Nitro Enclaves provide isolated, attested compute environments protecting sensitive medical workloads
• AWS KMS encrypts models; only verified Nitro Enclaves with valid attestation can decrypt
• Solution processes Protected Health Information (PHI) securely within isolated enclaves
• Supports both text and image-based medical queries using multimodal MedGemma 4B model
• Architecture uses S3 for models, SQS for queries, DynamoDB for audit logs, Lambda for image processing
• Hardware-based attestation proves enclave runs trusted code; PCR hashes verify enclave integrity
• Enables zero-trust deployment protecting both model IP and patient data simultaneously
• Educational demo; not suitable for production without comprehensive security and compliance validation

This solution enables healthcare organizations to deploy medical LLMs securely while maintaining strict data privacy and protecting model intellectual property through hardware-attested isolation.