Tool Overview:
Anonomatic

About Anonomatic

Anonomatic PII Vault is a data privacy solution that provides PII-as-a-Service through a Docker container-based architecture. The platform separates personally identifiable information (PII) from non-PII data, storing sensitive information in a specialized vault while maintaining data functionality. The solution can be deployed in public cloud, private cloud, or on-premises environments.

What does Anonomatic do?

The core functionality of PII Vault centers around a process called Poly-Anonymization, which replaces identifying information with Poly-Anonymous Identifiers (Poly-Ids). These identifiers are designed to be unique, inconsistent, and unpredictable, distinguishing them from traditional hashing approaches. The platform transforms identified data into anonymous data through Pass-Through Anonymization, which handles the conversion in a single step.

PII Vault provides APIs for data separation, remote anonymization, data matching, and masking operations. The platform enables organizations to maintain functional business data without storing identifying values directly in their applications or databases. This separation occurs by storing PII in a separate environment, which reduces immediate security risks while preserving the ability to process and analyze the data.

A key technical capability of PII Vault is its approach to data matching across disparate sources. The platform allows organizations to combine multiple anonymized datasets at the individual level without exposing the underlying PII. This enables data analysis and insights across different systems while maintaining privacy compliance. The solution includes features for masking private data in databases and redacting PII from unstructured data sources.

What makes Anonomatic different?

The platform's architecture differs from traditional privacy tools by providing PII storage and management as a service, similar to how Identity-as-a-Service platforms handle authentication. This approach means that neither client applications nor third-party services need to store PII directly. The solution implements selective reidentification, allowing organizations to retrieve only the specific PII needed for particular workflows or users.

Implementation of PII Vault occurs through a Docker container that can be deployed in under an hour. The platform provides integration capabilities through API endpoints that support various programming languages including Python, Node.js, and C#. All services are accessible via a simple Docker container-based API/Web Service, and the system includes Swagger documentation for API exploration.

Use cases and industries

The platform serves multiple sectors, with documented implementations in healthcare and education. For example, The L.A. Trust for Children's Health uses PII Vault to analyze relationships between student healthcare and academic performance data while maintaining HIPAA and FERPA compliance. The solution supports use cases including cloud migration, data sharing, data mesh implementations, and non-production use of production data.

Primary applications include accelerating digital transformation while maintaining data privacy, creating safe access to usable data for organizations, and solving PII compliance requirements for identified data. The platform supports data scientists and analysts in preparing data for AI and ML models without collecting PII, combining and matching anonymized individuals from multiple data sources, and creating insights while maintaining privacy controls.