Missouri Patent of the Month – May 2023
Data privacy and security are becoming increasingly important as businesses and individuals generate vast amounts of sensitive information every day. But how can organizations ensure the privacy of their data while still being able to analyze it for valuable insights? The answer may lie with TripleBlind Inc, a company that is using cutting-edge technology to provide secure and private data analytics.
TripleBlind’s mission is to drive data collaboration by automatically de-identfying data. This technology could aid in accelerating research, reducing costs, and generating new business opportunities while minimizing the liabilities of transferring protected health information (PHI).
TripleBlind’s innovation is a method that allows the analysis of two data sets without disclosing any identifiable information. The company’s technology is designed to enable secure data collaboration between organizations that wish to share their data without exposing any confidential information. This makes TripleBlind’s technology ideal for applications such as medical research or financial analysis where data privacy is of utmost importance.
TripleBlind’s technology works by encoding the data sets using a table hash function. Each element of the data set is assigned a respective number in a table, which is used to generate a unique index of similar elements between the data sets. A private compare function is then applied which computes the equality of each row of the tables without revealing any confidential information. The result is a secure and private analysis of the two data sets, enabling organizations to share their data while maintaining privacy.
TripleBlind’s technology has many advantages over traditional data analysis methods. First, it eliminates the need for data custodians to trust each other. With TripleBlind’s technology, organizations can collaborate on data analysis without sharing any confidential information. Second, TripleBlind’s method is much faster than traditional data analysis methods, as it does not require the transfer of large amounts of data between organizations. Finally, TripleBlind’s technology is highly scalable, meaning that it can be used to analyze large data sets quickly and efficiently.
Are you developing new technology for an existing application? Did you know your development work could be eligible for the R&D Tax Credit and you can receive up to 14% back on your expenses? Even if your development isn’t successful your work may still qualify for R&D credits (i.e. you don’t need to have a patent to qualify). To find out more, please contact a Swanson Reed R&D Specialist today or check out our free online eligibility test.
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