Privacy Suite, audit trails, and automated regulatory reporting
Ensure every ML pipeline meets HIPAA, GDPR, PCI-DSS, and CCPA requirements with automated PII scanning, transformation audit trails, and exportable compliance reports.
The Challenges
Manual Compliance Audits
Reviewing every dataset, model, and pipeline for privacy compliance is time-consuming and error-prone when done manually.
Multi-Regulation Complexity
Different data types fall under different regulations (HIPAA for health, PCI-DSS for payments) requiring distinct scanning rules.
Audit Trail Gaps
Without automated logging, reconstructing what happened to data during ML processing is nearly impossible during audits.
How CorePlexML Helps
72+ PII Type Detection
Privacy Suite automatically detects SSNs, credit cards, PHI, email addresses, and 68+ other PII types across datasets.
Learn moreCompliance Profiles
Pre-built HIPAA, GDPR, PCI-DSS, and CCPA profiles apply the correct detection rules and transformations for each regulation.
Learn moreFull Audit Trails
Every scan, transformation, and model training operation is logged with timestamps, user IDs, and data lineage.
Learn moreSDK Example
from coreplexml import CorePlexMLClient
client = CorePlexMLClient(
base_url="https://api.coreplexml.io",
api_key="sk_your_api_key"
)
# Run HIPAA compliance scan
hipaa_scan = client.privacy.scan(
dataset_version_id="dsv_patient_intake",
compliance_profile="HIPAA"
)
# Run PCI-DSS scan on payment data
pci_scan = client.privacy.scan(
dataset_version_id="dsv_payment_records",
compliance_profile="PCI_DSS"
)
# Auto-apply recommended transformations
client.privacy.apply_transforms(
scan_id=hipaa_scan["id"],
auto_apply=True
)
# Export audit trail for compliance review
audit = client.privacy.export_audit(
project_id="proj_healthcare",
format="pdf"
)Expected Impact
Ready to get started?
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