Subsalt provides a query engine that automates the anonymization of regulated enterprise data, ensuring compliance with data protection laws without lengthy legal processes. By generating high-quality synthetic data that preserves row-level granularity, Subsalt enables organizations to share sensitive information quickly and securely with internal teams and partners.
Funding
$4.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IIFounders
Product
Problem
Organizations face challenges in complying with data protection laws when querying regulated enterprise data, leading to lengthy legal processes, user consent issues, and potential data breaches. Sharing sensitive information with internal teams and partners becomes complex and time-consuming due to compliance reviews, data request committees, and custom data masking.
Solution
Subsalt provides a query engine that automates the anonymization of regulated enterprise data, transforming privacy compliance into a query-time automation. By leveraging generative models, Subsalt enables organizations to query their enterprise data without the risk of non-compliance. The platform generates high-quality, fully synthetic data that preserves row-level granularity and data formats, allowing for safe, fast, and easy access to sensitive data without risking compliance with data protection laws. Subsalt's approach eliminates long and expensive compliance reviews, unlocking fast and secure data sharing.
Target Audience
Subsalt's primary customers are enterprises in regulated industries, such as healthcare and insurance, that need to query and share sensitive data while maintaining compliance with data protection laws.
Features
- Dynamic Noise: Optimizes the tradeoffs between data privacy and fidelity to the source data.
- Schema Preservation: Returns fully-synthetic data that preserves row-level granularity and data formats.
- Guaranteed Privacy: Provides compliance guarantees supported by third-party audits that satisfy HIPAA's Expert Determination standard.
- Flexible Deployment: Supports multiple deployment models to meet unique privacy and security requirements.
- Trust and Security: SOC2-Type 2 and HIPAA compliant, designed to minimize the risk of exposure or breach of real data.
- Easy Integration: Integrates directly with existing data and ML tools via a Postgres-compatible SQL interface.