Business Compass Data Anonymization & Synthetic Data Services

## How It Works

Our methodology combines multiple privacy-preserving techniques into a single governed pipeline:

• **HIPAA Safe Harbor and Expert Determination** for clinical and health data
• **PCI DSS tokenization** to reduce compliance scope for payment data
• **GDPR/CCPA pseudonymization** for cross-border data sharing
• **Differential privacy** to provide mathematical guarantees against re-identification
• **Re-identification risk testing** with audit-ready evidence and policy-as-code guardrails

## AWS Services Used

All pipelines run in your AWS account using native services:

• S3, Glue, Lake Formation, KMS for data storage, integration, and encryption
• Macie for sensitive data discovery
• SageMaker for model training on synthetic datasets
• Textract, Transcribe, Medical Transcribe for unstructured data extraction
• Comprehend, Comprehend Medical, HealthLake for entity recognition and clinical data

We hold AWS Service Delivery competencies in Lambda, API Gateway, AWS Transfer Family, Glue, QuickSight, Graviton, DynamoDB, and OpenSearch.

## Engagement Model

We deliver through a structured pilot engagement:

• **Week 1 - Discovery and Scoping:** Data inventory, schema review, risk classification, and pipeline architecture design.
• **Week 2-3 - Pipeline Build and Synthesis:** De-identification pipeline deployment, synthetic data generation, and utility validation.
• **Week 4 - Testing and Handoff:** Re-identification risk report, model-utility comparison, audit-ready documentation, and pipeline code repository handoff.

## Prerequisites

Buyers should have:

• An active AWS account with appropriate IAM permissions
• At least one regulated dataset (structured or unstructured) ready for pilot
• A designated data steward or technical point of contact
• Executive sponsorship for compliance sign-off

Out of scope: ongoing production managed services, non-AWS environments, and real-time streaming anonymization (available as a separate engagement).

## Outcomes

Organizations working with Business Compass LLC achieve:

• Synthetic datasets that preserve statistical distributions for downstream ML training
• Reduced compliance audit scope by removing regulated data from development environments
• Audit-ready re-identification risk reports aligned to HIPAA, PCI DSS, and NIST 800 standards
• Governed, repeatable pipelines with policy-as-code guardrails

## Getting Started

Book a 30-minute scoping call to define your pilot schema and review our methodology brief. We will assess your data landscape and provide a fixed-scope pilot proposal within 5 business days.