AWS HealthOmics Adds Support for IAM Session Policies to Dynamically Restrict Run Permissions
AWS HealthOmics has introduced support for Identity and Access Management (IAM) session policies to enhance access control mechanisms. Previously, restricting execution permissions for specific workflows required administrators to create and manage multiple dedicated IAM roles. This approach introduced significant administrative complexity as user bases and workflow varieties expanded within an organization.
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| Aspect | Before / Alternative | After / This |
|---|---|---|
| Permission scoping | Static permissions tied directly to pre-configured IAM roles | Dynamic permission boundaries applied per individual run using session policies |
| IAM role management | High complexity with multiple roles created for different access levels | Reduced complexity by reusing a base role with session policies applied on demand |
| Security posture | Broad access permissions persist unless roles are manually rotated or heavily segmented | Strict adherence to the principle of least privilege by defining limits per session |
Action Checklist
- Identify runs or workflows that require restricted or context-specific data access permissions Review your existing AWS HealthOmics workflows and their associated IAM roles.
- Formulate IAM session policies to define the exact resource boundaries for the targeted runs Ensure policies restrict access to only the necessary S3 buckets or data stores.
- Update your workflow initiation API calls to include the session policies dynamically Verify that your deployment scripts or orchestration tools support the new API parameters.
Source: AWS What's New
This page summarizes the original source. Check the source for full details.
