π
βοΈ
AWS Case Study
HealthTech
Data Protection
Regulated Personal Data
SoulTrps:
Governed, Self-Correcting
Data Controls
A telehealth streaming platform establishes owned, revocable encryption per data domain, continuous data discovery, and storage guardrails that repair themselves within minutes of drift.
Minutes
Drift Self-Corrects (was hours)
Per-Domain
Encryption Key Governance
100%
Key Use Auditable
SoulTrps β Data Protection Dashboard
Encryption
Governed
β KMS per-domain
Data Estate
Known
β Macie discovery
Config Drift
Self-Heals
β Auto-remediation
Cert Renewal
Automated
β ACM at LB
KMS
Keys Rotated
β Annual
Macie
Custom Identifiers
β Continuous
Config
Baseline Enforced
β Guardrails
01
AWS Data Protection Delivery
Establishing Governed Encryption and Self-Correcting Data Controls for a Telehealth Platform
About SoulTrps
SoulTrps operates a telehealth and wellness streaming platform serving a mid-market user base. The platform accumulates sensitive, health-adjacent personal data subject to multi-year retention obligations, and must evidence robust data protection controls to both regulators and enterprise customers.
The Challenge
Ungoverned encryption and unknown data location across a growing health-data estate
Ungoverned Encryption
Encryption was enabled but without an owned, documented key-management model β offering no authored key policy and no ability to revoke access independently across data types.
Unknown Data Location
The business could not state precisely where sensitive data resided across a continuously growing storage estate β making any protection or retention claim impossible to evidence.
Misconfiguration Exposure
A single storage misconfiguration could convert routine platform growth into a reportable data incident β with exposure lasting as long as manual triage took to detect and correct it.
Solutions Provided
Domain-separated key governance, continuous classification, and guardrails that repair themselves
Domain-Separated Key Management
Provisioned AWS KMS customer-managed keys per data domain β user data, session records, and operational logs β each with an individually authored key policy and automatic annual rotation, so access to one domain can be revoked independently of another.
Continuous Data Classification
Deployed Amazon Macie with managed identifiers alongside custom data identifiers authored for platform-specific patterns β so classification covers the customer’s own unique data formats, not just generic ones.
Self-Correcting Guardrails
Encoded the storage baseline as AWS Config rules β encryption required, public access blocked, TLS-only access β paired with AWS Lambda remediation functions that apply corrections automatically on drift.
Detection & Audit
Enabled Amazon GuardDuty S3 protection for anomalous data access and AWS CloudTrail recording every key use and remediation action β with all findings aggregated in AWS Security Hub.
Transport Security
Applied AWS Certificate Manager certificates with automatic renewal at the load balancer β removing certificate expiry as a failure mode entirely.
Result Outcome
Governed, revocable encryption with a continuously known data estate that repairs itself
Governed Encryption
Key usage is now authored, attributable, and auditable per data domain β rather than implicit and service-default. Each domain can be revoked independently.
Known Data Estate
Sensitive data is discovered and classified continuously as the platform grows β the business can now state with confidence where regulated data resides at any time.
Reduced Exposure Window
Encryption and public-access drift self-corrects within minutes rather than awaiting manual triage β shrinking the exposure window from hours to near-zero.
Defined Ownership
Named data-domain owners and a recurring quarterly key-and-access review were established β turning data governance into an ongoing, accountable discipline.
Per-Domain
Customer-Managed Keys
User data, session records, and logs β each independently revocable with rotation
Continuous
Data Classification
Sensitive data classified across the in-scope estate using custom identifiers
Minutes
Drift Remediation
Storage misconfiguration auto-remediated β exposure cut from hours to minutes
Quarterly
Key & Access Review
Recurring review established with named data-domain owners
Success Metrics
Measurable data-protection improvements across the storage estate
Encryption Key Governance
Implicit
β
Per-Domain CMK
Customer-managed keys deployed per data domain with automatic annual rotation enabled
Sensitive Data Classification
Assumed
β
Continuously Discovered
Classified across the in-scope storage estate using managed and custom identifiers
Misconfiguration Exposure
Hours
β
Minutes
Storage drift remediated automatically β no wait on manual detection and triage
Key & Access Review
None
β
Quarterly
Recurring key and access review established with named data-domain owners
Before
Encryption was enabled but with no owned key-management model, authored key policy, or independent revocation
The location of sensitive data across a growing storage estate was not known with confidence
Classification relied on assumption rather than continuous discovery
Storage misconfiguration remained exposed for as long as manual detection and triage took
No named ownership or recurring review existed for keys and data access
After
Customer-managed KMS keys are provisioned per data domain, each with an authored key policy and automatic rotation
Amazon Macie continuously discovers and classifies sensitive data using managed and custom identifiers
AWS Config rules encode the storage baseline, with Lambda remediation correcting drift automatically
Every key use and remediation action is recorded in CloudTrail for audit
Named data-domain owners conduct a quarterly key and access review
“
The engagement delivered a data-protection posture in which encryption is governed and revocable, sensitive data is continuously identified, and the storage baseline repairs itself β providing demonstrable control over regulated personal data.
Technology Stack
AWS Services Deployed
AWS KMS
Per-Domain Customer Keys
Amazon Macie
Data Classification
AWS Config
Storage Baseline Rules
AWS Lambda
Auto-Remediation
Amazon GuardDuty
S3 Access Protection
AWS CloudTrail
Key Use Audit Trail
AWS Security Hub
Finding Aggregation
AWS Certificate Manager
Auto-Renewing TLS
Amazon S3
Encrypted Data Storage
Application Load Balancer
TLS Termination
Custom Data Identifiers
Platform-Specific Patterns
AWS IAM
Key Policy Scoping
Accepting New Enterprise Clients
Ready to Govern Your
Data Protection Posture?
Book a complimentary data protection review. Our AWS-certified engineers will assess your encryption and data-governance posture and deliver a tailored roadmap β no commitment required.
No commitment required
Response within 24hrs
AWS Advanced Partner