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SubTrackr processes sensitive user data including names, email addresses, payment details, and usage metadata. Regulatory requirements (GDPR, CCPA, PCI-DSS) mandate that PII be identified, classified, and appropriately protected throughout the data pipeline—from ingestion to storage, processing, and analytics export.
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Current Limitation
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No systematic PII classification across data flows
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Analytics exports may contain unredacted PII fields
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Log aggregation can capture sensitive data in plaintext
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No automated redaction for API responses, webhook payloads, or audit logs
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A configurable PII classification engine with regex/ML-based pattern detection, automated redaction middleware for API responses and logs, and a data lineage audit trail showing what PII exists, where it flows, and how it is protected.
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Acceptance Criteria
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PII classification engine with configurable detection patterns (email, phone, SSN, crypto addresses, API keys)
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Automated redaction middleware for API response serialization
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Log redaction filter for structured logging output
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PII audit report generation showing classified fields per endpoint/module
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Data lineage tracking for PII fields through processing pipeline
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Context
SubTrackr processes sensitive user data including names, email addresses, payment details, and usage metadata. Regulatory requirements (GDPR, CCPA, PCI-DSS) mandate that PII be identified, classified, and appropriately protected throughout the data pipeline—from ingestion to storage, processing, and analytics export.
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Current Limitation
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Expected Outcome
A configurable PII classification engine with regex/ML-based pattern detection, automated redaction middleware for API responses and logs, and a data lineage audit trail showing what PII exists, where it flows, and how it is protected.
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Acceptance Criteria
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Technical Scope
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backend/services/shared/piiAudit.ts,backend/services/shared/auditService.ts,backend/services/shared/logging.ts,backend/services/shared/apiResponse.ts,backend/services/billing/,backend/services/analytics/\
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