Solution Brief: Automated PII Masking, Redaction & Synthetic Data Generation

Solution Brief: Automated PII Redaction and Masking with Synthetic Data

Proven Solution for Secure Data Anonymization and Enterprise Compliance Hyperscience announces the general availability of its enterprise-grade Redaction and Masking with Synthetic Data workflow. This solution provides organizations with a reliable and automated method to identify, supervise, and anonymize Personally Identifiable Information (PII) within their documents. Designed for high-stakes compliance environments, the workflow has been successfully tested and deployed, enabling businesses to leverage their data for analytics and AI model training without compromising security or regulatory obligations.

The Challenge

In today's data-driven world, enterprises hold vast amounts of valuable information within documents like paystubs, credit applications, tax forms, and all other kinds of business correspondence. However, compliance regulations such as GDPR, HIPAA, POPIA, CCPA, and FOIA create significant barriers, preventing the use of this data for critical business functions like analytics, process improvement, and the training of internal AI models. Our Redaction and Masking with Synthetic Data workflow is a robust, configurable workflow that automates the process of creating safe, compliant versions of your documents.

Our Solution: An End-to-End Workflow

1. Comprehensive Data Ingestion & Full Page Transcription:
   • AI-Powered PII Identification: identifies instances of sensitive data.
2. Guaranteed Accuracy via Human Supervision: an intuitive interface presents every identified entity to a human operator for confirmation to ensure 100% accuracy.
3. Flexible Anonymization Outputs:
   • Data Masking: replaces PII with realistic, synthetically generated data that preserves the original character length and data type, ideal for analytics and model training.
   • Data Redaction: applies opaque overlays to permanently and irreversibly obscure sensitive information for secure sharing.

Proven Use Cases

Our solution is already delivering value for clients in demanding regulatory environments.

• Enabling AI Training Under Strict Data Privacy Laws (POPIA): For a financial services client subject to South Africa's Protection of Personal Information Act (POPIA), our solution successfully creates synthetic, anonymized versions of real credit applications. This allows the client to build a high-quality training dataset for their internal identification models, preserving the data indefinitely in full compliance with "Right to be Forgotten" regulations.
• Fulfilling Secure Information Request: A U.S. federal agency utilizes our workflow to respond to Freedom of Information Act (FOIA) requests. The solution is configured to accurately redact all PII pertaining to third parties who have not provided consent, while leaving the original requester's information visible for traceability. This ensures a timely, compliant, and secure information-sharing process.