LeapYear Description
Differential privacy, a mathematically proven standard for data privacy, ensures that all data can be used to perform analytics and machine learning without compromising individual records.
LeapYear's differentially secure system protects some the most sensitive datasets around the globe, including financial transactions, medical information, social media data, and medical information. The system protects all information about individuals, entities, transactions, and businesses, and allows data scientists, analysts, and researchers to derive value from all data.
Traditional methods, such as anonymization, aggregation or masking data value, can be easily used to reconstruct sensitive information. LeapYear's differential privacy implementation provides mathematically supported assurances that individual records cannot be reconstructed while allowing all data to be used for reporting.
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