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    Data Anonymization & Synthetic Data for AI Model Training

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    Anonymize regulated data and generate synthetic datasets on AWS—HIPAA/PCI/GDPR aligned. Train AI safely with de-identification, tokenization, and differential privacy. Business Compass LLC.

    Overview

    Unlock AI on regulated data—safely. Business Compass LLC’s Data Anonymization & Synthetic Data Services let healthcare, finance, and public-sector teams train and share models without exposing PHI/PII/PAN. We build privacy-first pipelines that combine HIPAA Safe Harbor/Expert Determination, PCI DSS tokenization, GDPR/CCPA pseudonymization, and differential privacy. Our AWS-native approach (S3, Glue, Macie, SageMaker, Lake Formation, KMS) de-identifies, tokenizes, and synthesizes data while preserving utility—backed by re-identification testing, audit-ready evidence, and policy-as-code guardrails. Outcomes: accelerated AI delivery, reduced compliance scope and cost, measurable model-utility parity, and governed access across environments. Start with a focused pilot: your schema + our playbooks = compliant, high-fidelity datasets fast.

    Highlights

    • HIPAA/PCI/GDPR-aligned de-identification, tokenization & differential privacy.
    • AWS-native, in-account pipelines with S3, Glue, Macie, SageMaker, Textract, Transcribe, Medical Transcribe, Comprehend, Comprehend Medical, Health Lake and Lake Formation.
    • High-fidelity synthetic data plus re-id risk reports & audit-ready evidence.

    Details

    Delivery method

    Deployed on AWS

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