Generate lookalike datasetsAI models generate lookalike data sets that preserve key statistical properties in your regulated data, preserving the value of data to drive insights.
Comply with privacy lawsReal-time privacy certifications guarantee generated data sets comply with major privacy laws, eliminating risk of fines and data breaches.
Avoid workflow disruptionsConnect to data sources and data tools through standard database connections, reducing the cost of system integration and avoiding disruption to existing workflows.
Simulate attacks with generated dataSubsalt simulates sophisticated privacy attacks on generated data to ensure it meets regulatory requirements for anonymization.
Conduct privacy auditsRegular audits of privacy thresholds, methods, and emergent privacy risks ensures state of the art performance.
Automate and scale complianceThe result is automatic and scalable compliance through data anonymization. Request a copy of our most recent third-party privacy audit.
Preserve statistical patterns through AIUnlike data masking or encryption, AI generated synthetic data preserves important statistical patterns in your data.
Eliminate risk of attackWithout a one-to-one connection to real, regulated records, common privacy attacks on fully-synthetic data are impossible.
Optimize data quality automaticallySubsalt’s generative database handles synthetic data generation and optimizes synthetic data quality for each use case without manual configuration or tuning.
Get off-the-shelf connectionsOff-the-shelf connections to your existing data sources.
Query Subsalt's SQLExisting data analysis tools can query Subsalt’s SQL interface and retrieve data, just like any other cloud data platform or data lake.
Accommodate security requirementsFlexible deployment options to accommodate security and architecture requirements.
Subsalt makes it safe, fast, and easy to use and share sensitive data without risking compliance with data protection laws.
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