AWS PHI Detection
Learn how to detect protected health information (PHI) in AWS environments. Follow step-by-step guidance for HIPAA compliance and secure healthcare data management.
Why It Matters
The core goal is to identify every location where protected health information (PHI) is stored within your AWS environment, so you can remediate unintended exposures before they become costly HIPAA violations. Scanning for PHI in AWS is critical for healthcare organizations and their business associates, as it helps you prove you've discovered and accounted for all sensitive patient data—mitigating the risk of unencrypted sensitive data exposure.
A thorough scan delivers immediate visibility, laying the foundation for automated policy enforcement and ongoing compliance with healthcare data protection requirements.
Prerequisites
Permissions & Roles
- AWS IAM administrator access
- Amazon Macie service permissions
- S3 bucket read access across accounts
External Tools
- AWS CLI or SDK
- Cyera DSPM account
- API credentials
Prior Setup
- AWS account with healthcare workloads
- S3 buckets containing potential PHI
- Cross-account access configured
- CloudTrail logging enabled
Introducing Cyera
Cyera is a modern Data Security Posture Management (DSPM) platform that discovers, classifies, and continuously monitors your sensitive data across cloud services. By leveraging advanced AI and Named Entity Recognition (NER) models, Cyera automatically identifies PHI patterns in your AWS environment—from patient names and medical record numbers to diagnostic codes and treatment notes—ensuring comprehensive HIPAA compliance and real-time breach prevention.
Step-by-Step Guide
Create a dedicated service role with the minimum required permissions for PHI discovery across S3, RDS, and other AWS services storing potential healthcare data.
In the Cyera portal, navigate to Integrations → Cloud → Add AWS. Provide your account ID, role ARN, and external ID. Configure discovery scope to include all regions and services containing potential PHI.
Configure Cyera's NER models to detect healthcare-specific identifiers including patient names, medical record numbers, insurance IDs, and clinical notes. Set confidence thresholds appropriate for your risk tolerance.
Review the initial PHI detection report, validate classifications against known sensitive datasets, and configure real-time alerts for new PHI discoveries. Establish automated remediation workflows for high-risk findings.
Architecture & Workflow
AWS S3/RDS/EBS
Source repositories containing potential PHI
Cyera Discovery Engine
Scans and samples data using secure APIs
AI Classification Models
NER and ML models identify PHI patterns
HIPAA Compliance Dashboard
Real-time visibility and audit reports
Data Flow Summary
Best Practices & Tips
Performance Considerations
- Start with critical healthcare workloads first
- Use intelligent sampling for large datasets
- Schedule scans during low-usage periods
Tuning Detection Rules
- Customize PHI patterns for your organization
- Maintain allowlists for test/synthetic data
- Adjust sensitivity for different data types
Common Pitfalls
- Missing PHI in EBS snapshots and AMIs
- Overlooking database backups and logs
- Insufficient cross-account discovery scope